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---
license: mit
task_categories:
- question-answering
language:
- en
pretty_name: ArXiv QA
---

# ArXiv QA

(TBD) Automated ArXiv question answering via large language models

[Github](https://github.com/taesiri/ArXivQA) | [Homepage](https://arxiv.taesiri.xyz/) | [Simple QA - Hugging Face Space](https://huggingface.co/spaces/taesiri/ClaudeReadsArxiv)

---

# List of Papers

<details open><summary><strong>2023</strong></summary><div>

### October 2023
- Functional Interpolation for Relative Positions Improves Long Context   Transformers - [[2310.04418](https://arxiv.org/abs/2310.04418)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.04418.md)].
- RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective   Augmentation - [[2310.04408](https://arxiv.org/abs/2310.04408)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.04408.md)].
- Language Agent Tree Search Unifies Reasoning Acting and Planning in   Language Models - [[2310.04406](https://arxiv.org/abs/2310.04406)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.04406.md)].
- Latent Consistency Models: Synthesizing High-Resolution Images with   Few-Step Inference - [[2310.04378](https://arxiv.org/abs/2310.04378)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.04378.md)].
- Towards Foundational Models for Molecular Learning on Large-Scale   Multi-Task Datasets - [[2310.04292](https://arxiv.org/abs/2310.04292)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.04292.md)].
- Improved Baselines with Visual Instruction Tuning - [[2310.03744](https://arxiv.org/abs/2310.03744)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03744.md)].
- Aligning Text-to-Image Diffusion Models with Reward Backpropagation - [[2310.03739](https://arxiv.org/abs/2310.03739)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03739.md)].
- Leveraging Unpaired Data for Vision-Language Generative Models via Cycle   Consistency - [[2310.03734](https://arxiv.org/abs/2310.03734)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03734.md)].
- MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical   Reasoning - [[2310.03731](https://arxiv.org/abs/2310.03731)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03731.md)].
- HeaP: Hierarchical Policies for Web Actions using LLMs - [[2310.03720](https://arxiv.org/abs/2310.03720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03720.md)].
- A Long Way to Go: Investigating Length Correlations in RLHF - [[2310.03716](https://arxiv.org/abs/2310.03716)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03716.md)].
- DSPy: Compiling Declarative Language Model Calls into Self-Improving   Pipelines - [[2310.03714](https://arxiv.org/abs/2310.03714)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03714.md)].
- Agent Instructs Large Language Models to be General Zero-Shot Reasoners - [[2310.03710](https://arxiv.org/abs/2310.03710)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03710.md)].
- Drag View: Generalizable Novel View Synthesis with Unposed Imagery - [[2310.03704](https://arxiv.org/abs/2310.03704)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03704.md)].
- Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and   Latent Diffusion - [[2310.03502](https://arxiv.org/abs/2310.03502)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03502.md)].
- FreshLLMs: Refreshing Large Language Models with Search Engine   Augmentation - [[2310.03214](https://arxiv.org/abs/2310.03214)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03214.md)].
- Large Language Model Cascades with Mixture of Thoughts Representations   for Cost-efficient Reasoning - [[2310.03094](https://arxiv.org/abs/2310.03094)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03094.md)].
- Retrieval meets Long Context Large Language Models - [[2310.03025](https://arxiv.org/abs/2310.03025)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03025.md)].
- How FaR Are Large Language Models From Agents with Theory-of-Mind? - [[2310.03051](https://arxiv.org/abs/2310.03051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03051.md)].
- EcoAssistant: Using LLM Assistant More Affordably and Accurately - [[2310.03046](https://arxiv.org/abs/2310.03046)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.03046.md)].
- MathVista: Evaluating Mathematical Reasoning of Foundation Models in   Visual Contexts - [[2310.02255](https://arxiv.org/abs/2310.02255)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.02255.md)].
- MiniGPT-5: Interleaved Vision-and-Language Generation via Generative   Vokens - [[2310.02239](https://arxiv.org/abs/2310.02239)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.02239.md)].
- Think before you speak: Training Language Models With Pause Tokens - [[2310.02226](https://arxiv.org/abs/2310.02226)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.02226.md)].
- What do we learn from a large-scale study of pre-trained visual   representations in sim and real environments? - [[2310.02219](https://arxiv.org/abs/2310.02219)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.02219.md)].
- Language Models Represent Space and Time - [[2310.02207](https://arxiv.org/abs/2310.02207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.02207.md)].
- Large Language Models Cannot Self-Correct Reasoning Yet - [[2310.01798](https://arxiv.org/abs/2310.01798)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01798.md)].
- Can large language models provide useful feedback on research papers? A   large-scale empirical analysis - [[2310.01783](https://arxiv.org/abs/2310.01783)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01783.md)].
- ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection   Algorithms - [[2310.01755](https://arxiv.org/abs/2310.01755)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01755.md)].
- Large Language Models as Analogical Reasoners - [[2310.01714](https://arxiv.org/abs/2310.01714)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01714.md)].
- ImagenHub: Standardizing the evaluation of conditional image generation   models - [[2310.01596](https://arxiv.org/abs/2310.01596)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01596.md)].
- SmartPlay : A Benchmark for LLMs as Intelligent Agents - [[2310.01557](https://arxiv.org/abs/2310.01557)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01557.md)].
- Neutrinos from muon-rich ultra high energy electromagnetic cascades: The   MUNHECA code - [[2310.01510](https://arxiv.org/abs/2310.01510)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01510.md)].
- DriveGPT4: Interpretable End-to-end Autonomous Driving via Large   Language Model - [[2310.01412](https://arxiv.org/abs/2310.01412)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01412.md)].
- Conditional Diffusion Distillation - [[2310.01407](https://arxiv.org/abs/2310.01407)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01407.md)].
- Representation Engineering: A Top-Down Approach to AI Transparency - [[2310.01405](https://arxiv.org/abs/2310.01405)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01405.md)].
- RA-DIT: Retrieval-Augmented Dual Instruction Tuning - [[2310.01352](https://arxiv.org/abs/2310.01352)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01352.md)].
- Label Supervised LLaMA Finetuning - [[2310.01208](https://arxiv.org/abs/2310.01208)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01208.md)].
- Enable Language Models to Implicitly Learn Self-Improvement From Data - [[2310.00898](https://arxiv.org/abs/2310.00898)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.00898.md)].
- (Dynamic) Prompting might be all you need to repair Compressed LLMs - [[2310.00867](https://arxiv.org/abs/2310.00867)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.00867.md)].
- Analyzing and Mitigating Object Hallucination in Large Vision-Language   Models - [[2310.00754](https://arxiv.org/abs/2310.00754)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.00754.md)].
- RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities   of Large Language Models - [[2310.00746](https://arxiv.org/abs/2310.00746)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.00746.md)].
- FELM: Benchmarking Factuality Evaluation of Large Language Models - [[2310.00741](https://arxiv.org/abs/2310.00741)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.00741.md)].
- UniAudio: An Audio Foundation Model Toward Universal Audio Generation - [[2310.00704](https://arxiv.org/abs/2310.00704)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.00704.md)].

### September 2023
- PixArt-$α$: Fast Training of Diffusion Transformer for   Photorealistic Text-to-Image Synthesis - [[2310.00426](https://arxiv.org/abs/2310.00426)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.00426.md)].
- AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with   TikZ - [[2310.00367](https://arxiv.org/abs/2310.00367)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.00367.md)].
- Efficient Streaming Language Models with Attention Sinks - [[2309.17453](https://arxiv.org/abs/2309.17453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.17453.md)].
- The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) - [[2309.17421](https://arxiv.org/abs/2309.17421)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.17421.md)].
- Directly Fine-Tuning Diffusion Models on Differentiable Rewards - [[2309.17400](https://arxiv.org/abs/2309.17400)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.17400.md)].
- Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind   Aware GPT-4 - [[2309.17277](https://arxiv.org/abs/2309.17277)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.17277.md)].
- Guiding Instruction-based Image Editing via Multimodal Large Language   Models - [[2309.17102](https://arxiv.org/abs/2309.17102)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.17102.md)].
- GAIA-1: A Generative World Model for Autonomous Driving - [[2309.17080](https://arxiv.org/abs/2309.17080)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.17080.md)].
- Demystifying CLIP Data - [[2309.16671](https://arxiv.org/abs/2309.16671)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16671.md)].
- RealFill: Reference-Driven Generation for Authentic Image Completion - [[2309.16668](https://arxiv.org/abs/2309.16668)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16668.md)].
- DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content   Creation - [[2309.16653](https://arxiv.org/abs/2309.16653)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16653.md)].
- ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and   Planning - [[2309.16650](https://arxiv.org/abs/2309.16650)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16650.md)].
- Deep Geometrized Cartoon Line Inbetweening - [[2309.16643](https://arxiv.org/abs/2309.16643)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16643.md)].
- Qwen Technical Report - [[2309.16609](https://arxiv.org/abs/2309.16609)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16609.md)].
- Vision Transformers Need Registers - [[2309.16588](https://arxiv.org/abs/2309.16588)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16588.md)].
- Text-to-3D using Gaussian Splatting - [[2309.16585](https://arxiv.org/abs/2309.16585)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16585.md)].
- GPT-Fathom: Benchmarking Large Language Models to Decipher the   Evolutionary Path towards GPT-4 and Beyond - [[2309.16583](https://arxiv.org/abs/2309.16583)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16583.md)].
- MotionLM: Multi-Agent Motion Forecasting as Language Modeling - [[2309.16534](https://arxiv.org/abs/2309.16534)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16534.md)].
- CCEdit: Creative and Controllable Video Editing via Diffusion Models - [[2309.16496](https://arxiv.org/abs/2309.16496)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16496.md)].
- Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model   Adaptation - [[2309.16429](https://arxiv.org/abs/2309.16429)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16429.md)].
- AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models - [[2309.16414](https://arxiv.org/abs/2309.16414)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16414.md)].
- Dark Side Augmentation: Generating Diverse Night Examples for Metric   Learning - [[2309.16351](https://arxiv.org/abs/2309.16351)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16351.md)].
- Language models in molecular discovery - [[2309.16235](https://arxiv.org/abs/2309.16235)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16235.md)].
- AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model - [[2309.16058](https://arxiv.org/abs/2309.16058)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16058.md)].
- Effective Long-Context Scaling of Foundation Models - [[2309.16039](https://arxiv.org/abs/2309.16039)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16039.md)].
- Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video   Generation - [[2309.15818](https://arxiv.org/abs/2309.15818)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15818.md)].
- Emu: Enhancing Image Generation Models Using Photogenic Needles in a   Haystack - [[2309.15807](https://arxiv.org/abs/2309.15807)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15807.md)].
- Aperture Diffraction for Compact Snapshot Spectral Imaging - [[2309.16372](https://arxiv.org/abs/2309.16372)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.16372.md)].
- Borges and AI - [[2310.01425](https://arxiv.org/abs/2310.01425)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2310.01425.md)].
- Jointly Training Large Autoregressive Multimodal Models - [[2309.15564](https://arxiv.org/abs/2309.15564)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15564.md)].
- Finite Scalar Quantization: VQ-VAE Made Simple - [[2309.15505](https://arxiv.org/abs/2309.15505)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15505.md)].
- Graph Neural Prompting with Large Language Models - [[2309.15427](https://arxiv.org/abs/2309.15427)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15427.md)].
- NeuRBF: A Neural Fields Representation with Adaptive Radial Basis   Functions - [[2309.15426](https://arxiv.org/abs/2309.15426)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15426.md)].
- DECO: Dense Estimation of 3D Human-Scene Contact In The Wild - [[2309.15273](https://arxiv.org/abs/2309.15273)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15273.md)].
- VPA: Fully Test-Time Visual Prompt Adaptation - [[2309.15251](https://arxiv.org/abs/2309.15251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15251.md)].
- Low-rank Adaptation of Large Language Model Rescoring for   Parameter-Efficient Speech Recognition - [[2309.15223](https://arxiv.org/abs/2309.15223)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15223.md)].
- LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion   Models - [[2309.15103](https://arxiv.org/abs/2309.15103)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15103.md)].
- Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of   Language Models - [[2309.15098](https://arxiv.org/abs/2309.15098)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15098.md)].
- VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided   Planning - [[2309.15091](https://arxiv.org/abs/2309.15091)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15091.md)].
- RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical   Flow and Scene Flow Estimation - [[2309.15082](https://arxiv.org/abs/2309.15082)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15082.md)].
- Large Language Model Alignment: A Survey - [[2309.15025](https://arxiv.org/abs/2309.15025)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15025.md)].
- Treating Motion as Option with Output Selection for Unsupervised Video   Object Segmentation - [[2309.14786](https://arxiv.org/abs/2309.14786)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14786.md)].
- QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models - [[2309.14717](https://arxiv.org/abs/2309.14717)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14717.md)].
- NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized   Device Coordinates Space - [[2309.14616](https://arxiv.org/abs/2309.14616)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14616.md)].
- Efficient Post-training Quantization with FP8 Formats - [[2309.14592](https://arxiv.org/abs/2309.14592)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14592.md)].
- CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss - [[2309.14580](https://arxiv.org/abs/2309.14580)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14580.md)].
- Aligning Large Multimodal Models with Factually Augmented RLHF - [[2309.14525](https://arxiv.org/abs/2309.14525)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14525.md)].
- DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme   Long Sequence Transformer Models - [[2309.14509](https://arxiv.org/abs/2309.14509)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14509.md)].
- Extreme Parkour with Legged Robots - [[2309.14341](https://arxiv.org/abs/2309.14341)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14341.md)].
- Electronic properties, correlated topology and Green's function zeros - [[2309.14340](https://arxiv.org/abs/2309.14340)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14340.md)].
- DeepSpeed-VisualChat: Multi-Round Multi-Image Interleave Chat via   Multi-Modal Causal Attention - [[2309.14327](https://arxiv.org/abs/2309.14327)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14327.md)].
- Physics of Language Models: Part 3.2, Knowledge Manipulation - [[2309.14402](https://arxiv.org/abs/2309.14402)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14402.md)].
- Small-scale proxies for large-scale Transformer training instabilities - [[2309.14322](https://arxiv.org/abs/2309.14322)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14322.md)].
- Tiled Multiplane Images for Practical 3D Photography - [[2309.14291](https://arxiv.org/abs/2309.14291)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14291.md)].
- Only 5\% Attention Is All You Need: Efficient Long-range Document-level   Neural Machine Translation - [[2309.14174](https://arxiv.org/abs/2309.14174)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.14174.md)].
- May I Ask a Follow-up Question? Understanding the Benefits of   Conversations in Neural Network Explainability - [[2309.13965](https://arxiv.org/abs/2309.13965)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13965.md)].
- VidChapters-7M: Video Chapters at Scale - [[2309.13952](https://arxiv.org/abs/2309.13952)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13952.md)].
- Impact of Human-AI Interaction on User Trust and Reliance in AI-Assisted   Qualitative Coding - [[2309.13858](https://arxiv.org/abs/2309.13858)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13858.md)].
- Evaluating Cognitive Maps and Planning in Large Language Models with   CogEval - [[2309.15129](https://arxiv.org/abs/2309.15129)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.15129.md)].
- Embers of Autoregression: Understanding Large Language Models Through   the Problem They are Trained to Solve - [[2309.13638](https://arxiv.org/abs/2309.13638)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13638.md)].
- LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and   Reasoning - [[2309.13556](https://arxiv.org/abs/2309.13556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13556.md)].
- MediViSTA-SAM: Zero-shot Medical Video Analysis with Spatio-temporal SAM   Adaptation - [[2309.13539](https://arxiv.org/abs/2309.13539)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13539.md)].
- Attention Is All You Need For Blind Room Volume Estimation - [[2309.13504](https://arxiv.org/abs/2309.13504)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13504.md)].
- Learning Invariant Representations with a Nonparametric Nadaraya-Watson   Head - [[2309.13377](https://arxiv.org/abs/2309.13377)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13377.md)].
- MLPST: MLP is All You Need for Spatio-Temporal Prediction - [[2309.13363](https://arxiv.org/abs/2309.13363)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13363.md)].
- Exploring Large Language Models' Cognitive Moral Development through   Defining Issues Test - [[2309.13356](https://arxiv.org/abs/2309.13356)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13356.md)].
- Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models   through Logic - [[2309.13339](https://arxiv.org/abs/2309.13339)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13339.md)].
- Calibrating LLM-Based Evaluator - [[2309.13308](https://arxiv.org/abs/2309.13308)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13308.md)].
- Defending Pre-trained Language Models as Few-shot Learners against   Backdoor Attacks - [[2309.13256](https://arxiv.org/abs/2309.13256)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13256.md)].
- Spatial-frequency channels, shape bias, and adversarial robustness - [[2309.13190](https://arxiv.org/abs/2309.13190)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13190.md)].
- E(2)-Equivariant Graph Planning for Navigation - [[2309.13043](https://arxiv.org/abs/2309.13043)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13043.md)].
- MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary   Instance Segmentation - [[2309.13042](https://arxiv.org/abs/2309.13042)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13042.md)].
- Robotic Offline RL from Internet Videos via Value-Function Pre-Training - [[2309.13041](https://arxiv.org/abs/2309.13041)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13041.md)].
- NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular   Objects with Neural Refractive-Reflective Fields - [[2309.13039](https://arxiv.org/abs/2309.13039)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13039.md)].
- Privacy Assessment on Reconstructed Images: Are Existing Evaluation   Metrics Faithful to Human Perception? - [[2309.13038](https://arxiv.org/abs/2309.13038)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13038.md)].
- GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for   Robot Manipulators - [[2309.13037](https://arxiv.org/abs/2309.13037)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13037.md)].
- PyPose v0.6: The Imperative Programming Interface for Robotics - [[2309.13035](https://arxiv.org/abs/2309.13035)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13035.md)].
- Memory-augmented conformer for improved end-to-end long-form ASR - [[2309.13029](https://arxiv.org/abs/2309.13029)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13029.md)].
- Graph Neural Network for Stress Predictions in Stiffened Panels Under   Uniform Loading - [[2309.13022](https://arxiv.org/abs/2309.13022)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13022.md)].
- A Hybrid Deep Learning-based Approach for Optimal Genotype by   Environment Selection - [[2309.13021](https://arxiv.org/abs/2309.13021)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13021.md)].
- Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient   Pruning of A Multilingual ASR Model - [[2309.13018](https://arxiv.org/abs/2309.13018)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13018.md)].
- Understanding Deep Gradient Leakage via Inversion Influence Functions - [[2309.13016](https://arxiv.org/abs/2309.13016)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13016.md)].
- Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and   Dataflow Co-Design - [[2309.13015](https://arxiv.org/abs/2309.13015)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13015.md)].
- Performance Analysis of UNet and Variants for Medical Image Segmentation - [[2309.13013](https://arxiv.org/abs/2309.13013)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13013.md)].
- ReConcile: Round-Table Conference Improves Reasoning via Consensus among   Diverse LLMs - [[2309.13007](https://arxiv.org/abs/2309.13007)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13007.md)].
- Deep3DSketch+: Rapid 3D Modeling from Single Free-hand Sketches - [[2309.13006](https://arxiv.org/abs/2309.13006)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13006.md)].
- Pursuing Counterfactual Fairness via Sequential Autoencoder Across   Domains - [[2309.13005](https://arxiv.org/abs/2309.13005)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13005.md)].
- Expressive variational quantum circuits provide inherent privacy in   federated learning - [[2309.13002](https://arxiv.org/abs/2309.13002)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13002.md)].
- Audience-specific Explanations for Machine Translation - [[2309.12998](https://arxiv.org/abs/2309.12998)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12998.md)].
- Point Cloud Network: An Order of Magnitude Improvement in Linear Layer   Parameter Count - [[2309.12996](https://arxiv.org/abs/2309.12996)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12996.md)].
- Deep learning probability flows and entropy production rates in active   matter - [[2309.12991](https://arxiv.org/abs/2309.12991)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12991.md)].
- License Plate Recognition Based On Multi-Angle View Model - [[2309.12972](https://arxiv.org/abs/2309.12972)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12972.md)].
- Higher-order Graph Convolutional Network with Flower-Petals Laplacians   on Simplicial Complexes - [[2309.12971](https://arxiv.org/abs/2309.12971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12971.md)].
- PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using   co-training Motivated Multi-task Dual-Path CNN - [[2309.12970](https://arxiv.org/abs/2309.12970)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12970.md)].
- Detect Every Thing with Few Examples - [[2309.12969](https://arxiv.org/abs/2309.12969)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12969.md)].
- Nested Event Extraction upon Pivot Element Recogniton - [[2309.12960](https://arxiv.org/abs/2309.12960)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12960.md)].
- On Data Fabrication in Collaborative Vehicular Perception: Attacks and   Countermeasures - [[2309.12955](https://arxiv.org/abs/2309.12955)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12955.md)].
- Background Activation Suppression for Weakly Supervised Object   Localization and Semantic Segmentation - [[2309.12943](https://arxiv.org/abs/2309.12943)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12943.md)].
- Trusta: Reasoning about Assurance Cases with Formal Methods and Large   Language Models - [[2309.12941](https://arxiv.org/abs/2309.12941)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12941.md)].
- Self-Explanation Prompting Improves Dialogue Understanding in Large   Language Models - [[2309.12940](https://arxiv.org/abs/2309.12940)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12940.md)].
- Frustrated with Code Quality Issues? LLMs can Help! - [[2309.12938](https://arxiv.org/abs/2309.12938)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12938.md)].
- Evolving Spiking Neural Networks to Mimic PID Control for Autonomous   Blimps - [[2309.12937](https://arxiv.org/abs/2309.12937)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12937.md)].
- TopRoBERTa: Topology-Aware Authorship Attribution of Deepfake Texts - [[2309.12934](https://arxiv.org/abs/2309.12934)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12934.md)].
- CodePlan: Repository-level Coding using LLMs and Planning - [[2309.12499](https://arxiv.org/abs/2309.12499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12499.md)].
- DualToken-ViT: Position-aware Efficient Vision Transformer with Dual   Token Fusion - [[2309.12424](https://arxiv.org/abs/2309.12424)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12424.md)].
- LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language   Model as an Agent - [[2309.12311](https://arxiv.org/abs/2309.12311)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12311.md)].
- LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models - [[2309.12307](https://arxiv.org/abs/2309.12307)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12307.md)].
- PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for   Video Segmentation - [[2309.12303](https://arxiv.org/abs/2309.12303)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12303.md)].
- The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A" - [[2309.12288](https://arxiv.org/abs/2309.12288)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12288.md)].
- MetaMath: Bootstrap Your Own Mathematical Questions for Large Language   Models - [[2309.12284](https://arxiv.org/abs/2309.12284)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12284.md)].
- Boolformer: Symbolic Regression of Logic Functions with Transformers - [[2309.12207](https://arxiv.org/abs/2309.12207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.12207.md)].
- LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset - [[2309.11998](https://arxiv.org/abs/2309.11998)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11998.md)].
- MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion - [[2309.11847](https://arxiv.org/abs/2309.11847)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11847.md)].
- A Paradigm Shift in Machine Translation: Boosting Translation   Performance of Large Language Models - [[2309.11674](https://arxiv.org/abs/2309.11674)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11674.md)].
- BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model - [[2309.11568](https://arxiv.org/abs/2309.11568)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11568.md)].
- A Large-scale Dataset for Audio-Language Representation Learning - [[2309.11500](https://arxiv.org/abs/2309.11500)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11500.md)].
- DreamLLM: Synergistic Multimodal Comprehension and Creation - [[2309.11499](https://arxiv.org/abs/2309.11499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11499.md)].
- FreeU: Free Lunch in Diffusion U-Net - [[2309.11497](https://arxiv.org/abs/2309.11497)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11497.md)].
- Chain-of-Verification Reduces Hallucination in Large Language Models - [[2309.11495](https://arxiv.org/abs/2309.11495)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11495.md)].
- SCREWS: A Modular Framework for Reasoning with Revisions - [[2309.13075](https://arxiv.org/abs/2309.13075)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.13075.md)].
- Kosmos-2.5: A Multimodal Literate Model - [[2309.11419](https://arxiv.org/abs/2309.11419)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11419.md)].
- OpenChat: Advancing Open-source Language Models with Mixed-Quality Data - [[2309.11235](https://arxiv.org/abs/2309.11235)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11235.md)].
- The Languini Kitchen: Enabling Language Modelling Research at Different   Scales of Compute - [[2309.11197](https://arxiv.org/abs/2309.11197)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11197.md)].
- AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud   Registration - [[2309.11170](https://arxiv.org/abs/2309.11170)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11170.md)].
- Multi-grained Temporal Prototype Learning for Few-shot Video Object   Segmentation - [[2309.11160](https://arxiv.org/abs/2309.11160)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11160.md)].
- More complex encoder is not all you need - [[2309.11139](https://arxiv.org/abs/2309.11139)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11139.md)].
- Contrastive Pseudo Learning for Open-World DeepFake Attribution - [[2309.11132](https://arxiv.org/abs/2309.11132)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11132.md)].
- Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal   Distillation - [[2309.11081](https://arxiv.org/abs/2309.11081)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11081.md)].
- Weak Supervision for Label Efficient Visual Bug Detection - [[2309.11077](https://arxiv.org/abs/2309.11077)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11077.md)].
- The Topology and Geometry of Neural Representations - [[2309.11028](https://arxiv.org/abs/2309.11028)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11028.md)].
- Controllable Dynamic Appearance for Neural 3D Portraits - [[2309.11009](https://arxiv.org/abs/2309.11009)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11009.md)].
- RMT: Retentive Networks Meet Vision Transformers - [[2309.11523](https://arxiv.org/abs/2309.11523)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.11523.md)].
- LMDX: Language Model-based Document Information Extraction and   Localization - [[2309.10952](https://arxiv.org/abs/2309.10952)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10952.md)].
- End-to-End Speech Recognition Contextualization with Large Language   Models - [[2309.10917](https://arxiv.org/abs/2309.10917)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10917.md)].
- SlimPajama-DC: Understanding Data Combinations for LLM Training - [[2309.10818](https://arxiv.org/abs/2309.10818)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10818.md)].
- Sound Source Localization is All about Cross-Modal Alignment - [[2309.10724](https://arxiv.org/abs/2309.10724)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10724.md)].
- OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model   Pre-trained from Scratch - [[2309.10706](https://arxiv.org/abs/2309.10706)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10706.md)].
- Language Modeling Is Compression - [[2309.10668](https://arxiv.org/abs/2309.10668)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10668.md)].
- NDDepth: Normal-Distance Assisted Monocular Depth Estimation - [[2309.10592](https://arxiv.org/abs/2309.10592)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10592.md)].
- FoleyGen: Visually-Guided Audio Generation - [[2309.10537](https://arxiv.org/abs/2309.10537)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10537.md)].
- AutoDiffusion: Training-Free Optimization of Time Steps and   Architectures for Automated Diffusion Model Acceleration - [[2309.10438](https://arxiv.org/abs/2309.10438)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10438.md)].
- PoSE: Efficient Context Window Extension of LLMs via Positional   Skip-wise Training - [[2309.10400](https://arxiv.org/abs/2309.10400)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10400.md)].
- Baichuan 2: Open Large-scale Language Models - [[2309.10305](https://arxiv.org/abs/2309.10305)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10305.md)].
- 360$^\circ$ Reconstruction From a Single Image Using Space Carved   Outpainting - [[2309.10279](https://arxiv.org/abs/2309.10279)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10279.md)].
- Stabilizing RLHF through Advantage Model and Selective Rehearsal - [[2309.10202](https://arxiv.org/abs/2309.10202)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10202.md)].
- Q-Transformer: Scalable Offline Reinforcement Learning via   Autoregressive Q-Functions - [[2309.10150](https://arxiv.org/abs/2309.10150)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10150.md)].
- Unified Coarse-to-Fine Alignment for Video-Text Retrieval - [[2309.10091](https://arxiv.org/abs/2309.10091)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10091.md)].
- Multimodal Foundation Models: From Specialists to General-Purpose   Assistants - [[2309.10020](https://arxiv.org/abs/2309.10020)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.10020.md)].
- MindAgent: Emergent Gaming Interaction - [[2309.09971](https://arxiv.org/abs/2309.09971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09971.md)].
- Generating and Imputing Tabular Data via Diffusion and Flow-based   Gradient-Boosted Trees - [[2309.09968](https://arxiv.org/abs/2309.09968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09968.md)].
- An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models - [[2309.09958](https://arxiv.org/abs/2309.09958)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09958.md)].
- Robust Geometry-Preserving Depth Estimation Using Differentiable   Rendering - [[2309.09724](https://arxiv.org/abs/2309.09724)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09724.md)].
- CATR: Combinatorial-Dependence Audio-Queried Transformer for   Audio-Visual Video Segmentation - [[2309.09709](https://arxiv.org/abs/2309.09709)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09709.md)].
- Adapting Large Language Models via Reading Comprehension - [[2309.09530](https://arxiv.org/abs/2309.09530)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09530.md)].
- LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language   Models - [[2309.09506](https://arxiv.org/abs/2309.09506)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09506.md)].
- Discovering Sounding Objects by Audio Queries for Audio Visual   Segmentation - [[2309.09501](https://arxiv.org/abs/2309.09501)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09501.md)].
- CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large   Language Models in 167 Languages - [[2309.09400](https://arxiv.org/abs/2309.09400)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09400.md)].
- Augmenting text for spoken language understanding with Large Language   Models - [[2309.09390](https://arxiv.org/abs/2309.09390)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09390.md)].
- Embrace Divergence for Richer Insights: A Multi-document Summarization   Benchmark and a Case Study on Summarizing Diverse Information from News   Articles - [[2309.09369](https://arxiv.org/abs/2309.09369)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09369.md)].
- OWL: A Large Language Model for IT Operations - [[2309.09298](https://arxiv.org/abs/2309.09298)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09298.md)].
- LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation - [[2309.09294](https://arxiv.org/abs/2309.09294)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09294.md)].
- Contrastive Decoding Improves Reasoning in Large Language Models - [[2309.09117](https://arxiv.org/abs/2309.09117)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.09117.md)].
- Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large   Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT) - [[2309.08968](https://arxiv.org/abs/2309.08968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08968.md)].
- Struc-Bench: Are Large Language Models Really Good at Generating Complex   Structured Data? - [[2309.08963](https://arxiv.org/abs/2309.08963)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08963.md)].
- Monolingual or Multilingual Instruction Tuning: Which Makes a Better   Alpaca - [[2309.08958](https://arxiv.org/abs/2309.08958)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08958.md)].
- PDFTriage: Question Answering over Long, Structured Documents - [[2309.08872](https://arxiv.org/abs/2309.08872)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08872.md)].
- S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking   in the Era of LLMs - [[2309.08827](https://arxiv.org/abs/2309.08827)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08827.md)].
- Stack-and-Delay: a new codebook pattern for music generation - [[2309.08804](https://arxiv.org/abs/2309.08804)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08804.md)].
- Enhance audio generation controllability through representation   similarity regularization - [[2309.08773](https://arxiv.org/abs/2309.08773)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08773.md)].
- BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus - [[2309.08690](https://arxiv.org/abs/2309.08690)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08690.md)].
- Sparse Autoencoders Find Highly Interpretable Features in Language   Models - [[2309.08600](https://arxiv.org/abs/2309.08600)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08600.md)].
- Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes - [[2309.08588](https://arxiv.org/abs/2309.08588)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08588.md)].
- Compositional Foundation Models for Hierarchical Planning - [[2309.08587](https://arxiv.org/abs/2309.08587)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08587.md)].
- Replacing softmax with ReLU in Vision Transformers - [[2309.08586](https://arxiv.org/abs/2309.08586)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08586.md)].
- Connecting Large Language Models with Evolutionary Algorithms Yields   Powerful Prompt Optimizers - [[2309.08532](https://arxiv.org/abs/2309.08532)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08532.md)].
- Scaling Laws for Sparsely-Connected Foundation Models - [[2309.08520](https://arxiv.org/abs/2309.08520)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08520.md)].
- Using Large Language Models for Knowledge Engineering (LLMKE): A Case   Study on Wikidata - [[2309.08491](https://arxiv.org/abs/2309.08491)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08491.md)].
- Deformable Neural Radiance Fields using RGB and Event Cameras - [[2309.08416](https://arxiv.org/abs/2309.08416)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08416.md)].
- Cure the headache of Transformers via Collinear Constrained Attention - [[2309.08646](https://arxiv.org/abs/2309.08646)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08646.md)].
- Investigating Answerability of LLMs for Long-Form Question Answering - [[2309.08210](https://arxiv.org/abs/2309.08210)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08210.md)].
- LASER: LLM Agent with State-Space Exploration for Web Navigation - [[2309.08172](https://arxiv.org/abs/2309.08172)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08172.md)].
- Draft &amp; Verify: Lossless Large Language Model Acceleration via   Self-Speculative Decoding - [[2309.08168](https://arxiv.org/abs/2309.08168)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08168.md)].
- RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue - [[2309.08156](https://arxiv.org/abs/2309.08156)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08156.md)].
- Retrieval-Augmented Text-to-Audio Generation - [[2309.08051](https://arxiv.org/abs/2309.08051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08051.md)].
- Leveraging Contextual Information for Effective Entity Salience   Detection - [[2309.07990](https://arxiv.org/abs/2309.07990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07990.md)].
- Viewpoint Textual Inversion: Unleashing Novel View Synthesis with   Pretrained 2D Diffusion Models - [[2309.07986](https://arxiv.org/abs/2309.07986)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07986.md)].
- A Data Source for Reasoning Embodied Agents - [[2309.07974](https://arxiv.org/abs/2309.07974)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07974.md)].
- Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping - [[2309.07970](https://arxiv.org/abs/2309.07970)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07970.md)].
- ALWOD: Active Learning for Weakly-Supervised Object Detection - [[2309.07914](https://arxiv.org/abs/2309.07914)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07914.md)].
- Disentangling Spatial and Temporal Learning for Efficient Image-to-Video   Transfer Learning - [[2309.07911](https://arxiv.org/abs/2309.07911)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07911.md)].
- TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting - [[2309.07910](https://arxiv.org/abs/2309.07910)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07910.md)].
- Generative Image Dynamics - [[2309.07906](https://arxiv.org/abs/2309.07906)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07906.md)].
- Ambiguity-Aware In-Context Learning with Large Language Models - [[2309.07900](https://arxiv.org/abs/2309.07900)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07900.md)].
- Agents: An Open-source Framework for Autonomous Language Agents - [[2309.07870](https://arxiv.org/abs/2309.07870)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07870.md)].
- The Rise and Potential of Large Language Model Based Agents: A Survey - [[2309.07864](https://arxiv.org/abs/2309.07864)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07864.md)].
- TextBind: Multi-turn Interleaved Multimodal Instruction-following - [[2309.08637](https://arxiv.org/abs/2309.08637)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08637.md)].
- OmnimatteRF: Robust Omnimatte with 3D Background Modeling - [[2309.07749](https://arxiv.org/abs/2309.07749)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07749.md)].
- Efficiently Robustify Pre-trained Models - [[2309.07499](https://arxiv.org/abs/2309.07499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07499.md)].
- EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale   Visual Localization - [[2309.07471](https://arxiv.org/abs/2309.07471)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07471.md)].
- Are Large Language Model-based Evaluators the Solution to Scaling Up   Multilingual Evaluation? - [[2309.07462](https://arxiv.org/abs/2309.07462)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07462.md)].
- Clinical Text Summarization: Adapting Large Language Models Can   Outperform Human Experts - [[2309.07430](https://arxiv.org/abs/2309.07430)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07430.md)].
- Flexible Visual Recognition by Evidential Modeling of Confusion and   Ignorance - [[2309.07403](https://arxiv.org/abs/2309.07403)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07403.md)].
- AudioSR: Versatile Audio Super-resolution at Scale - [[2309.07314](https://arxiv.org/abs/2309.07314)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07314.md)].
- Pretraining on the Test Set Is All You Need - [[2309.08632](https://arxiv.org/abs/2309.08632)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08632.md)].
- All you need is spin: SU(2) equivariant variational quantum circuits   based on spin networks - [[2309.07250](https://arxiv.org/abs/2309.07250)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07250.md)].
- Text-Guided Generation and Editing of Compositional 3D Avatars - [[2309.07125](https://arxiv.org/abs/2309.07125)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07125.md)].
- RAIN: Your Language Models Can Align Themselves without Finetuning - [[2309.07124](https://arxiv.org/abs/2309.07124)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07124.md)].
- Tree-Structured Shading Decomposition - [[2309.07122](https://arxiv.org/abs/2309.07122)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07122.md)].
- SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection - [[2309.07084](https://arxiv.org/abs/2309.07084)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07084.md)].
- Efficient Reinforcement Learning for Jumping Monopods - [[2309.07038](https://arxiv.org/abs/2309.07038)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07038.md)].
- DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion   Models - [[2309.06933](https://arxiv.org/abs/2309.06933)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06933.md)].
- MagiCapture: High-Resolution Multi-Concept Portrait Customization - [[2309.06895](https://arxiv.org/abs/2309.06895)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06895.md)].
- Keep It SimPool: Who Said Supervised Transformers Suffer from Attention   Deficit? - [[2309.06891](https://arxiv.org/abs/2309.06891)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06891.md)].
- Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly - [[2309.06810](https://arxiv.org/abs/2309.06810)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06810.md)].
- Dynamic NeRFs for Soccer Scenes - [[2309.06802](https://arxiv.org/abs/2309.06802)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06802.md)].
- Cognitive Mirage: A Review of Hallucinations in Large Language Models - [[2309.06794](https://arxiv.org/abs/2309.06794)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06794.md)].
- MPI-Flow: Learning Realistic Optical Flow with Multiplane Images - [[2309.06714](https://arxiv.org/abs/2309.06714)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06714.md)].
- VLSlice: Interactive Vision-and-Language Slice Discovery - [[2309.06703](https://arxiv.org/abs/2309.06703)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06703.md)].
- Generalizable Neural Fields as Partially Observed Neural Processes - [[2309.06660](https://arxiv.org/abs/2309.06660)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06660.md)].
- Statistical Rejection Sampling Improves Preference Optimization - [[2309.06657](https://arxiv.org/abs/2309.06657)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06657.md)].
- A Distributed Data-Parallel PyTorch Implementation of the Distributed   Shampoo Optimizer for Training Neural Networks At-Scale - [[2309.06497](https://arxiv.org/abs/2309.06497)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06497.md)].
- Learning Disentangled Avatars with Hybrid 3D Representations - [[2309.06441](https://arxiv.org/abs/2309.06441)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06441.md)].
- LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot   Learning - [[2309.06440](https://arxiv.org/abs/2309.06440)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06440.md)].
- InstaFlow: One Step is Enough for High-Quality Diffusion-Based   Text-to-Image Generation - [[2309.06380](https://arxiv.org/abs/2309.06380)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06380.md)].
- Recovering from Privacy-Preserving Masking with Large Language Models - [[2309.08628](https://arxiv.org/abs/2309.08628)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.08628.md)].
- Modality Unifying Network for Visible-Infrared Person Re-Identification - [[2309.06262](https://arxiv.org/abs/2309.06262)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06262.md)].
- Efficient Memory Management for Large Language Model Serving with   PagedAttention - [[2309.06180](https://arxiv.org/abs/2309.06180)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06180.md)].
- AstroLLaMA: Towards Specialized Foundation Models in Astronomy - [[2309.06126](https://arxiv.org/abs/2309.06126)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.06126.md)].
- Uncovering mesa-optimization algorithms in Transformers - [[2309.05858](https://arxiv.org/abs/2309.05858)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05858.md)].
- Large Language Models for Compiler Optimization - [[2309.07062](https://arxiv.org/abs/2309.07062)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.07062.md)].
- SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors - [[2309.05810](https://arxiv.org/abs/2309.05810)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05810.md)].
- PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion   Models - [[2309.05793](https://arxiv.org/abs/2309.05793)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05793.md)].
- Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction   Clips - [[2309.05663](https://arxiv.org/abs/2309.05663)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05663.md)].
- Large Language Model for Science: A Study on P vs. NP - [[2309.05689](https://arxiv.org/abs/2309.05689)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05689.md)].
- UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the   OpenPCSeg Codebase - [[2309.05573](https://arxiv.org/abs/2309.05573)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05573.md)].
- ITI-GEN: Inclusive Text-to-Image Generation - [[2309.05569](https://arxiv.org/abs/2309.05569)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05569.md)].
- NExT-GPT: Any-to-Any Multimodal LLM - [[2309.05519](https://arxiv.org/abs/2309.05519)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05519.md)].
- Optimize Weight Rounding via Signed Gradient Descent for the   Quantization of LLMs - [[2309.05516](https://arxiv.org/abs/2309.05516)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05516.md)].
- Textbooks Are All You Need II: phi-1.5 technical report - [[2309.05463](https://arxiv.org/abs/2309.05463)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05463.md)].
- Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient   MoE for Instruction Tuning - [[2309.05444](https://arxiv.org/abs/2309.05444)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05444.md)].
- Class-Incremental Grouping Network for Continual Audio-Visual Learning - [[2309.05281](https://arxiv.org/abs/2309.05281)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05281.md)].
- Multi3DRefer: Grounding Text Description to Multiple 3D Objects - [[2309.05251](https://arxiv.org/abs/2309.05251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05251.md)].
- Does Writing with Language Models Reduce Content Diversity? - [[2309.05196](https://arxiv.org/abs/2309.05196)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05196.md)].
- Towards Viewpoint Robustness in Bird's Eye View Segmentation - [[2309.05192](https://arxiv.org/abs/2309.05192)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05192.md)].
- Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color - [[2309.05148](https://arxiv.org/abs/2309.05148)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05148.md)].
- 3D Implicit Transporter for Temporally Consistent Keypoint Discovery - [[2309.05098](https://arxiv.org/abs/2309.05098)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05098.md)].
- Multi-view Self-supervised Disentanglement for General Image Denoising - [[2309.05049](https://arxiv.org/abs/2309.05049)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.05049.md)].
- Mitigating Word Bias in Zero-shot Prompt-based Classifiers - [[2309.04992](https://arxiv.org/abs/2309.04992)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04992.md)].
- Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation - [[2309.04946](https://arxiv.org/abs/2309.04946)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04946.md)].
- Effective Real Image Editing with Accelerated Iterative Diffusion   Inversion - [[2309.04907](https://arxiv.org/abs/2309.04907)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04907.md)].
- Leveraging Large Language Models for Exploiting ASR Uncertainty - [[2309.04842](https://arxiv.org/abs/2309.04842)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04842.md)].
- Neurons in Large Language Models: Dead, N-gram, Positional - [[2309.04827](https://arxiv.org/abs/2309.04827)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04827.md)].
- Towards Real-World Burst Image Super-Resolution: Benchmark and Method - [[2309.04803](https://arxiv.org/abs/2309.04803)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04803.md)].
- VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable   Human Image Synthesis - [[2309.04800](https://arxiv.org/abs/2309.04800)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04800.md)].
- Towards Robust Model Watermark via Reducing Parametric Vulnerability - [[2309.04777](https://arxiv.org/abs/2309.04777)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04777.md)].
- SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment   to Cultural Reasoning - [[2309.04766](https://arxiv.org/abs/2309.04766)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04766.md)].
- When to Learn What: Model-Adaptive Data Augmentation Curriculum - [[2309.04747](https://arxiv.org/abs/2309.04747)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04747.md)].
- FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning - [[2309.04663](https://arxiv.org/abs/2309.04663)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04663.md)].
- MADLAD-400: A Multilingual And Document-Level Large Audited Dataset - [[2309.04662](https://arxiv.org/abs/2309.04662)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04662.md)].
- Exploring Large Language Models for Communication Games: An Empirical   Study on Werewolf - [[2309.04658](https://arxiv.org/abs/2309.04658)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04658.md)].
- Dynamic Mesh-Aware Radiance Fields - [[2309.04581](https://arxiv.org/abs/2309.04581)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04581.md)].
- When Less is More: Investigating Data Pruning for Pretraining LLMs at   Scale - [[2309.04564](https://arxiv.org/abs/2309.04564)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04564.md)].
- Examining Autoexposure for Challenging Scenes - [[2309.04542](https://arxiv.org/abs/2309.04542)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04542.md)].
- Video Task Decathlon: Unifying Image and Video Tasks in Autonomous   Driving - [[2309.04422](https://arxiv.org/abs/2309.04422)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04422.md)].
- DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields - [[2309.04410](https://arxiv.org/abs/2309.04410)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04410.md)].
- Mobile V-MoEs: Scaling Down Vision Transformers via Sparse   Mixture-of-Experts - [[2309.04354](https://arxiv.org/abs/2309.04354)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04354.md)].
- The Power of Sound (TPoS): Audio Reactive Video Generation with Stable   Diffusion - [[2309.04509](https://arxiv.org/abs/2309.04509)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04509.md)].
- From Sparse to Dense: GPT-4 Summarization with Chain of Density   Prompting - [[2309.04269](https://arxiv.org/abs/2309.04269)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04269.md)].
- Towards Practical Capture of High-Fidelity Relightable Avatars - [[2309.04247](https://arxiv.org/abs/2309.04247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04247.md)].
- Unsupervised Object Localization with Representer Point Selection - [[2309.04172](https://arxiv.org/abs/2309.04172)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04172.md)].
- NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus - [[2309.04146](https://arxiv.org/abs/2309.04146)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04146.md)].
- Evaluation and Mitigation of Agnosia in Multimodal Large Language Models - [[2309.04041](https://arxiv.org/abs/2309.04041)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.04041.md)].
- CDFSL-V: Cross-Domain Few-Shot Learning for Videos - [[2309.03989](https://arxiv.org/abs/2309.03989)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03989.md)].
- LanSER: Language-Model Supported Speech Emotion Recognition - [[2309.03978](https://arxiv.org/abs/2309.03978)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03978.md)].
- ImageBind-LLM: Multi-modality Instruction Tuning - [[2309.03905](https://arxiv.org/abs/2309.03905)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03905.md)].
- Tracking Anything with Decoupled Video Segmentation - [[2309.03903](https://arxiv.org/abs/2309.03903)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03903.md)].
- Learning Continuous Exposure Value Representations for Single-Image HDR   Reconstruction - [[2309.03900](https://arxiv.org/abs/2309.03900)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03900.md)].
- The Making and Breaking of Camouflage - [[2309.03899](https://arxiv.org/abs/2309.03899)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03899.md)].
- ProPainter: Improving Propagation and Transformer for Video Inpainting - [[2309.03897](https://arxiv.org/abs/2309.03897)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03897.md)].
- InstructDiffusion: A Generalist Modeling Interface for Vision Tasks - [[2309.03895](https://arxiv.org/abs/2309.03895)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03895.md)].
- A Function Interpretation Benchmark for Evaluating Interpretability   Methods - [[2309.03886](https://arxiv.org/abs/2309.03886)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03886.md)].
- DoLa: Decoding by Contrasting Layers Improves Factuality in Large   Language Models - [[2309.03883](https://arxiv.org/abs/2309.03883)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03883.md)].
- On Large Language Models' Selection Bias in Multi-Choice Questions - [[2309.03882](https://arxiv.org/abs/2309.03882)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03882.md)].
- FLM-101B: An Open LLM and How to Train It with $100K Budget - [[2309.03852](https://arxiv.org/abs/2309.03852)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03852.md)].
- Panoramas from Photons - [[2309.03811](https://arxiv.org/abs/2309.03811)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03811.md)].
- SimNP: Learning Self-Similarity Priors Between Neural Points - [[2309.03809](https://arxiv.org/abs/2309.03809)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03809.md)].
- Phasic Content Fusing Diffusion Model with Directional Distribution   Consistency for Few-Shot Model Adaption - [[2309.03729](https://arxiv.org/abs/2309.03729)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03729.md)].
- Efficient Adaptive Human-Object Interaction Detection with   Concept-guided Memory - [[2309.03696](https://arxiv.org/abs/2309.03696)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03696.md)].
- Large-Scale Automatic Audiobook Creation - [[2309.03926](https://arxiv.org/abs/2309.03926)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03926.md)].
- Evaluating ChatGPT as a Recommender System: A Rigorous Approach - [[2309.03613](https://arxiv.org/abs/2309.03613)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03613.md)].
- Enhancing Sample Utilization through Sample Adaptive Augmentation in   Semi-Supervised Learning - [[2309.03598](https://arxiv.org/abs/2309.03598)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03598.md)].
- Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance   Fields using Geometry-Guided Text-to-Image Diffusion Model - [[2309.03550](https://arxiv.org/abs/2309.03550)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03550.md)].
- Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation - [[2309.03549](https://arxiv.org/abs/2309.03549)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03549.md)].
- Temporal Collection and Distribution for Referring Video Object   Segmentation - [[2309.03473](https://arxiv.org/abs/2309.03473)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03473.md)].
- SyncDreamer: Generating Multiview-consistent Images from a Single-view   Image - [[2309.03453](https://arxiv.org/abs/2309.03453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03453.md)].
- Large Language Models as Optimizers - [[2309.03409](https://arxiv.org/abs/2309.03409)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03409.md)].
- Distribution-Aware Prompt Tuning for Vision-Language Models - [[2309.03406](https://arxiv.org/abs/2309.03406)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03406.md)].
- Robotic Table Tennis: A Case Study into a High Speed Learning System - [[2309.03315](https://arxiv.org/abs/2309.03315)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03315.md)].
- Matcha-TTS: A fast TTS architecture with conditional flow matching - [[2309.03199](https://arxiv.org/abs/2309.03199)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03199.md)].
- Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields - [[2309.03185](https://arxiv.org/abs/2309.03185)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03185.md)].
- SLiMe: Segment Like Me - [[2309.03179](https://arxiv.org/abs/2309.03179)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03179.md)].
- ResFields: Residual Neural Fields for Spatiotemporal Signals - [[2309.03160](https://arxiv.org/abs/2309.03160)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03160.md)].
- MyoDex: A Generalizable Prior for Dexterous Manipulation - [[2309.03130](https://arxiv.org/abs/2309.03130)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03130.md)].
- Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction - [[2309.02965](https://arxiv.org/abs/2309.02965)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02965.md)].
- GPT Can Solve Mathematical Problems Without a Calculator - [[2309.03241](https://arxiv.org/abs/2309.03241)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03241.md)].
- Zero-Resource Hallucination Prevention for Large Language Models - [[2309.02654](https://arxiv.org/abs/2309.02654)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02654.md)].
- Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction   Tuning - [[2309.02591](https://arxiv.org/abs/2309.02591)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02591.md)].
- Physically Grounded Vision-Language Models for Robotic Manipulation - [[2309.02561](https://arxiv.org/abs/2309.02561)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02561.md)].
- A skeletonization algorithm for gradient-based optimization - [[2309.02527](https://arxiv.org/abs/2309.02527)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02527.md)].
- GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction - [[2309.02436](https://arxiv.org/abs/2309.02436)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02436.md)].
- Building a Winning Team: Selecting Source Model Ensembles using a   Submodular Transferability Estimation Approach - [[2309.02429](https://arxiv.org/abs/2309.02429)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02429.md)].
- Cognitive Architectures for Language Agents - [[2309.02427](https://arxiv.org/abs/2309.02427)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02427.md)].
- EgoPCA: A New Framework for Egocentric Hand-Object Interaction   Understanding - [[2309.02423](https://arxiv.org/abs/2309.02423)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02423.md)].
- Doppelgangers: Learning to Disambiguate Images of Similar Structures - [[2309.02420](https://arxiv.org/abs/2309.02420)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02420.md)].
- Generating Realistic Images from In-the-wild Sounds - [[2309.02405](https://arxiv.org/abs/2309.02405)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02405.md)].
- Prototype-based Dataset Comparison - [[2309.02401](https://arxiv.org/abs/2309.02401)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02401.md)].
- Explaining grokking through circuit efficiency - [[2309.02390](https://arxiv.org/abs/2309.02390)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02390.md)].
- CIEM: Contrastive Instruction Evaluation Method for Better Instruction   Tuning - [[2309.02301](https://arxiv.org/abs/2309.02301)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02301.md)].
- Making Large Language Models Better Reasoners with Alignment - [[2309.02144](https://arxiv.org/abs/2309.02144)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02144.md)].
- Multi-label affordance mapping from egocentric vision - [[2309.02120](https://arxiv.org/abs/2309.02120)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02120.md)].
- Iterative Superquadric Recomposition of 3D Objects from Multiple Views - [[2309.02102](https://arxiv.org/abs/2309.02102)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02102.md)].
- Learning Cross-Modal Affinity for Referring Video Object Segmentation   Targeting Limited Samples - [[2309.02041](https://arxiv.org/abs/2309.02041)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02041.md)].
- Data-Juicer: A One-Stop Data Processing System for Large Language Models - [[2309.02033](https://arxiv.org/abs/2309.02033)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02033.md)].
- RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image - [[2309.02020](https://arxiv.org/abs/2309.02020)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.02020.md)].
- NICE: CVPR 2023 Challenge on Zero-shot Image Captioning - [[2309.01961](https://arxiv.org/abs/2309.01961)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01961.md)].
- Empowering Low-Light Image Enhancer through Customized Learnable Priors - [[2309.01958](https://arxiv.org/abs/2309.01958)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01958.md)].
- Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge   for Generic Image Representations - [[2309.01858](https://arxiv.org/abs/2309.01858)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01858.md)].
- One Wide Feedforward is All You Need - [[2309.01826](https://arxiv.org/abs/2309.01826)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01826.md)].
- Are Emergent Abilities in Large Language Models just In-Context   Learning? - [[2309.01809](https://arxiv.org/abs/2309.01809)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01809.md)].
- An Empirical Analysis for Zero-Shot Multi-Label Classification on   COVID-19 CT Scans and Uncurated Reports - [[2309.01740](https://arxiv.org/abs/2309.01740)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01740.md)].
- Mask-Attention-Free Transformer for 3D Instance Segmentation - [[2309.01692](https://arxiv.org/abs/2309.01692)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01692.md)].
- AGG-Net: Attention Guided Gated-convolutional Network for Depth Image   Completion - [[2309.01624](https://arxiv.org/abs/2309.01624)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01624.md)].
- Raw Data Is All You Need: Virtual Axle Detector with Enhanced Receptive   Field - [[2309.01574](https://arxiv.org/abs/2309.01574)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01574.md)].
- A Blackbox Model Is All You Need to Breach Privacy: Smart Grid   Forecasting Models as a Use Case - [[2309.01523](https://arxiv.org/abs/2309.01523)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01523.md)].
- Unified Pre-training with Pseudo Texts for Text-To-Image Person   Re-identification - [[2309.01420](https://arxiv.org/abs/2309.01420)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01420.md)].
- Memory augment is All You Need for image restoration - [[2309.01377](https://arxiv.org/abs/2309.01377)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01377.md)].
- EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting   Ego-Motion Rigidity - [[2309.01296](https://arxiv.org/abs/2309.01296)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01296.md)].
- SOAR: Scene-debiasing Open-set Action Recognition - [[2309.01265](https://arxiv.org/abs/2309.01265)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01265.md)].
- Towards Generic Image Manipulation Detection with Weakly-Supervised   Self-Consistency Learning - [[2309.01246](https://arxiv.org/abs/2309.01246)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01246.md)].
- LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for   Vision-Language Models - [[2309.01155](https://arxiv.org/abs/2309.01155)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01155.md)].
- EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment - [[2309.01151](https://arxiv.org/abs/2309.01151)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01151.md)].
- Attention Where It Matters: Rethinking Visual Document Understanding   with Selective Region Concentration - [[2309.01131](https://arxiv.org/abs/2309.01131)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01131.md)].
- CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection - [[2309.01093](https://arxiv.org/abs/2309.01093)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01093.md)].
- Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through   Image-IDS Aligning - [[2309.01083](https://arxiv.org/abs/2309.01083)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.01083.md)].
- ModelScope-Agent: Building Your Customizable Agent System with   Open-source Large Language Models - [[2309.00986](https://arxiv.org/abs/2309.00986)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00986.md)].
- eDKM: An Efficient and Accurate Train-time Weight Clustering for Large   Language Models - [[2309.00964](https://arxiv.org/abs/2309.00964)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00964.md)].
- Two-in-One Depth: Bridging the Gap Between Monocular and Binocular   Self-supervised Depth Estimation - [[2309.00933](https://arxiv.org/abs/2309.00933)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00933.md)].
- Domain Generalization via Balancing Training Difficulty and Model   Capability - [[2309.00844](https://arxiv.org/abs/2309.00844)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00844.md)].
- Few shot font generation via transferring similarity guided global style   and quantization local style - [[2309.00827](https://arxiv.org/abs/2309.00827)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00827.md)].
- Instability of the solitary waves for the Generalized   Benjamin-Bona-Mahony Equation - [[2309.0791](https://arxiv.org/abs/2309.0791)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.0791.md)].
- Contrastive Feature Masking Open-Vocabulary Vision Transformer - [[2309.00775](https://arxiv.org/abs/2309.00775)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00775.md)].
- Learning Shared Safety Constraints from Multi-task Demonstrations - [[2309.00711](https://arxiv.org/abs/2309.00711)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00711.md)].
- Searching for a Leptophilic Z' and a 3-3-1 symmetry at CLIC - [[2309.0681](https://arxiv.org/abs/2309.0681)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.0681.md)].
- Point-Bind &amp; Point-LLM: Aligning Point Cloud with Multi-modality for 3D   Understanding, Generation, and Instruction Following - [[2309.00615](https://arxiv.org/abs/2309.00615)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00615.md)].
- CityDreamer: Compositional Generative Model of Unbounded 3D Cities - [[2309.00610](https://arxiv.org/abs/2309.00610)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00610.md)].
- Rieger, Schwabe, Suess-de Vries: The Sunny Beats of Resonance - [[2309.0666](https://arxiv.org/abs/2309.0666)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.0666.md)].
- VideoGen: A Reference-Guided Latent Diffusion Approach for High   Definition Text-to-Video Generation - [[2309.00398](https://arxiv.org/abs/2309.00398)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00398.md)].
- FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large   Language Models in Federated Learning - [[2309.00363](https://arxiv.org/abs/2309.00363)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00363.md)].
- Large Content And Behavior Models To Understand, Simulate, And Optimize   Content And Behavior - [[2309.00359](https://arxiv.org/abs/2309.00359)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00359.md)].
- RLAIF: Scaling Reinforcement Learning from Human Feedback with AI   Feedback - [[2309.00267](https://arxiv.org/abs/2309.00267)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00267.md)].
- A Massively Parallel Dynamic Programming for Approximate Rectangle   Escape Problem - [[2309.0242](https://arxiv.org/abs/2309.0242)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.0242.md)].
- Object-Centric Multiple Object Tracking - [[2309.00233](https://arxiv.org/abs/2309.00233)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00233.md)].
- Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation - [[2309.00216](https://arxiv.org/abs/2309.00216)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00216.md)].
- Pseudo-magnetic fields in square lattices - [[2309.0212](https://arxiv.org/abs/2309.0212)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.0212.md)].
- Empirical Modeling of Variance in Medium Frequency R-Mode   Time-of-Arrival Measurements - [[2309.0202](https://arxiv.org/abs/2309.0202)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.0202.md)].

### August 2023
- Block occurrences in the binary expansion - [[2309.0142](https://arxiv.org/abs/2309.0142)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.0142.md)].
- YaRN: Efficient Context Window Extension of Large Language Models - [[2309.00071](https://arxiv.org/abs/2309.00071)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00071.md)].
- SoDaCam: Software-defined Cameras via Single-Photon Imaging - [[2309.00066](https://arxiv.org/abs/2309.00066)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00066.md)].
- FACET: Fairness in Computer Vision Evaluation Benchmark - [[2309.00035](https://arxiv.org/abs/2309.00035)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.00035.md)].
- PointLLM: Empowering Large Language Models to Understand Point Clouds - [[2308.16911](https://arxiv.org/abs/2308.16911)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16911.md)].
- StyleInV: A Temporal Style Modulated Inversion Network for Unconditional   Video Generation - [[2308.16909](https://arxiv.org/abs/2308.16909)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16909.md)].
- InterDiff: Generating 3D Human-Object Interactions with Physics-Informed   Diffusion - [[2308.16905](https://arxiv.org/abs/2308.16905)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16905.md)].
- Transformers as Support Vector Machines - [[2308.16898](https://arxiv.org/abs/2308.16898)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16898.md)].
- EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in   the Wild - [[2308.16894](https://arxiv.org/abs/2308.16894)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16894.md)].
- GNFactor: Multi-Task Real Robot Learning with Generalizable Neural   Feature Fields - [[2308.16891](https://arxiv.org/abs/2308.16891)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16891.md)].
- TouchStone: Evaluating Vision-Language Models by Language Models - [[2308.16890](https://arxiv.org/abs/2308.16890)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16890.md)].
- The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122   Language Variants - [[2308.16884](https://arxiv.org/abs/2308.16884)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16884.md)].
- SportsSloMo: A New Benchmark and Baselines for Human-centric Video Frame   Interpolation - [[2308.16876](https://arxiv.org/abs/2308.16876)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16876.md)].
- Coarse-to-Fine Amodal Segmentation with Shape Prior - [[2308.16825](https://arxiv.org/abs/2308.16825)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16825.md)].
- Can Programming Languages Boost Each Other via Instruction Tuning? - [[2308.16824](https://arxiv.org/abs/2308.16824)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16824.md)].
- Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models - [[2308.16777](https://arxiv.org/abs/2308.16777)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16777.md)].
- Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation   Using only Images - [[2308.16758](https://arxiv.org/abs/2308.16758)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16758.md)].
- Parsing is All You Need for Accurate Gait Recognition in the Wild - [[2308.16739](https://arxiv.org/abs/2308.16739)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16739.md)].
- ViLTA: Enhancing Vision-Language Pre-training through Textual   Augmentation - [[2308.16689](https://arxiv.org/abs/2308.16689)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16689.md)].
- Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size   HD Images - [[2308.16582](https://arxiv.org/abs/2308.16582)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16582.md)].
- MVDream: Multi-view Diffusion for 3D Generation - [[2308.16512](https://arxiv.org/abs/2308.16512)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16512.md)].
- Recommender AI Agent: Integrating Large Language Models for Interactive   Recommendations - [[2308.16505](https://arxiv.org/abs/2308.16505)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16505.md)].
- PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction - [[2308.16477](https://arxiv.org/abs/2308.16477)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16477.md)].
- Sparkles: Unlocking Chats Across Multiple Images for Multimodal   Instruction-Following Models - [[2308.16463](https://arxiv.org/abs/2308.16463)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16463.md)].
- Improving Lens Flare Removal with General Purpose Pipeline and Multiple   Light Sources Recovery - [[2308.16460](https://arxiv.org/abs/2308.16460)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16460.md)].
- BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual   Pragmatic Knowledge - [[2308.16458](https://arxiv.org/abs/2308.16458)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16458.md)].
- Adversarial Finetuning with Latent Representation Constraint to Mitigate   Accuracy-Robustness Tradeoff - [[2308.16454](https://arxiv.org/abs/2308.16454)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16454.md)].
- Emergence of Segmentation with Minimalistic White-Box Transformers - [[2308.16271](https://arxiv.org/abs/2308.16271)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16271.md)].
- Active Neural Mapping - [[2308.16246](https://arxiv.org/abs/2308.16246)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16246.md)].
- Learning Vision-based Pursuit-Evasion Robot Policies - [[2308.16185](https://arxiv.org/abs/2308.16185)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16185.md)].
- SAM-Med2D - [[2308.16184](https://arxiv.org/abs/2308.16184)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16184.md)].
- MMVP: Motion-Matrix-based Video Prediction - [[2308.16154](https://arxiv.org/abs/2308.16154)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16154.md)].
- LM-Infinite: Simple On-the-Fly Length Generalization for Large Language   Models - [[2308.16137](https://arxiv.org/abs/2308.16137)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16137.md)].
- Response: Emergent analogical reasoning in large language models - [[2308.16118](https://arxiv.org/abs/2308.16118)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16118.md)].
- Learned Image Reasoning Prior Penetrates Deep Unfolding Network for   Panchromatic and Multi-Spectral Image Fusion - [[2308.16083](https://arxiv.org/abs/2308.16083)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16083.md)].
- RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation - [[2308.15975](https://arxiv.org/abs/2308.15975)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15975.md)].
- WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model - [[2308.15962](https://arxiv.org/abs/2308.15962)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15962.md)].
- LLaSM: Large Language and Speech Model - [[2308.15930](https://arxiv.org/abs/2308.15930)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15930.md)].
- Reconstructing Groups of People with Hypergraph Relational Reasoning - [[2308.15844](https://arxiv.org/abs/2308.15844)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15844.md)].
- Introducing Language Guidance in Prompt-based Continual Learning - [[2308.15827](https://arxiv.org/abs/2308.15827)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15827.md)].
- WeatherBench 2: A benchmark for the next generation of data-driven   global weather models - [[2308.15560](https://arxiv.org/abs/2308.15560)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15560.md)].
- Canonical Factors for Hybrid Neural Fields - [[2308.15461](https://arxiv.org/abs/2308.15461)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15461.md)].
- Shatter and Gather: Learning Referring Image Segmentation with Text   Supervision - [[2308.15512](https://arxiv.org/abs/2308.15512)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15512.md)].
- Efficient Model Personalization in Federated Learning via   Client-Specific Prompt Generation - [[2308.15367](https://arxiv.org/abs/2308.15367)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15367.md)].
- CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for   Multimodal Machine Translation - [[2308.15226](https://arxiv.org/abs/2308.15226)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15226.md)].
- Evaluation and Analysis of Hallucination in Large Vision-Language Models - [[2308.15126](https://arxiv.org/abs/2308.15126)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15126.md)].
- Learning to Upsample by Learning to Sample - [[2308.15085](https://arxiv.org/abs/2308.15085)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15085.md)].
- Class Prior-Free Positive-Unlabeled Learning with Taylor Variational   Loss for Hyperspectral Remote Sensing Imagery - [[2308.15081](https://arxiv.org/abs/2308.15081)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15081.md)].
- Exploring Model Transferability through the Lens of Potential Energy - [[2308.15074](https://arxiv.org/abs/2308.15074)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15074.md)].
- Pose-Free Neural Radiance Fields via Implicit Pose Regularization - [[2308.15049](https://arxiv.org/abs/2308.15049)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15049.md)].
- Recursively Summarizing Enables Long-Term Dialogue Memory in Large   Language Models - [[2308.15022](https://arxiv.org/abs/2308.15022)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.15022.md)].
- Vision Grid Transformer for Document Layout Analysis - [[2308.14978](https://arxiv.org/abs/2308.14978)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14978.md)].
- LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks - [[2308.14972](https://arxiv.org/abs/2308.14972)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14972.md)].
- Vector Search with OpenAI Embeddings: Lucene Is All You Need - [[2308.14963](https://arxiv.org/abs/2308.14963)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14963.md)].
- Read-only Prompt Optimization for Vision-Language Few-shot Learning - [[2308.14960](https://arxiv.org/abs/2308.14960)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14960.md)].
- NSF: Neural Surface Fields for Human Modeling from Monocular Depth - [[2308.14847](https://arxiv.org/abs/2308.14847)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14847.md)].
- CLNeRF: Continual Learning Meets NeRF - [[2308.14816](https://arxiv.org/abs/2308.14816)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14816.md)].
- Efficient Discovery and Effective Evaluation of Visual Perceptual   Similarity: A Benchmark and Beyond - [[2308.14753](https://arxiv.org/abs/2308.14753)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14753.md)].
- AI Deception: A Survey of Examples, Risks, and Potential Solutions - [[2308.14752](https://arxiv.org/abs/2308.14752)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14752.md)].
- R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras - [[2308.14713](https://arxiv.org/abs/2308.14713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14713.md)].
- S-TREK: Sequential Translation and Rotation Equivariant Keypoints for   local feature extraction - [[2308.14598](https://arxiv.org/abs/2308.14598)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14598.md)].
- Referring Image Segmentation Using Text Supervision - [[2308.14575](https://arxiv.org/abs/2308.14575)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14575.md)].
- LAC: Latent Action Composition for Skeleton-based Action Segmentation - [[2308.14500](https://arxiv.org/abs/2308.14500)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14500.md)].
- Priority-Centric Human Motion Generation in Discrete Latent Space - [[2308.14480](https://arxiv.org/abs/2308.14480)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14480.md)].
- Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a   Light-Weight ToF Sensor - [[2308.14383](https://arxiv.org/abs/2308.14383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14383.md)].
- ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large   Language Models - [[2308.14353](https://arxiv.org/abs/2308.14353)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14353.md)].
- DISC-MedLLM: Bridging General Large Language Models and Real-World   Medical Consultation - [[2308.14346](https://arxiv.org/abs/2308.14346)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14346.md)].
- Bridging Cross-task Protocol Inconsistency for Distillation in Dense   Object Detection - [[2308.14286](https://arxiv.org/abs/2308.14286)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14286.md)].
- HoloFusion: Towards Photo-realistic 3D Generative Modeling - [[2308.14244](https://arxiv.org/abs/2308.14244)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14244.md)].
- High-Resolution Document Shadow Removal via A Large-Scale Real-World   Dataset and A Frequency-Aware Shadow Erasing Net - [[2308.14221](https://arxiv.org/abs/2308.14221)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14221.md)].
- Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified   Removal of Raindrops and Rain Streaks - [[2308.14153](https://arxiv.org/abs/2308.14153)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14153.md)].
- Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code   Diffusion using Transformers - [[2308.14152](https://arxiv.org/abs/2308.14152)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14152.md)].
- Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario - [[2308.14119](https://arxiv.org/abs/2308.14119)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14119.md)].
- MedAlign: A Clinician-Generated Dataset for Instruction Following with   Electronic Medical Records - [[2308.14089](https://arxiv.org/abs/2308.14089)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14089.md)].
- 4D Myocardium Reconstruction with Decoupled Motion and Shape Model - [[2308.14083](https://arxiv.org/abs/2308.14083)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14083.md)].
- Reconstructing Interacting Hands with Interaction Prior from Monocular   Images - [[2308.14082](https://arxiv.org/abs/2308.14082)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14082.md)].
- Nonrigid Object Contact Estimation With Regional Unwrapping Transformer - [[2308.14074](https://arxiv.org/abs/2308.14074)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14074.md)].
- Hierarchical Contrastive Learning for Pattern-Generalizable Image   Corruption Detection - [[2308.14061](https://arxiv.org/abs/2308.14061)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14061.md)].
- Domain-Specificity Inducing Transformers for Source-Free Domain   Adaptation - [[2308.14023](https://arxiv.org/abs/2308.14023)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14023.md)].
- Calibrating Panoramic Depth Estimation for Practical Localization and   Mapping - [[2308.14005](https://arxiv.org/abs/2308.14005)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.14005.md)].
- LDL: Line Distance Functions for Panoramic Localization - [[2308.13989](https://arxiv.org/abs/2308.13989)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13989.md)].
- Prior-guided Source-free Domain Adaptation for Human Pose Estimation - [[2308.13954](https://arxiv.org/abs/2308.13954)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13954.md)].
- Late Stopping: Avoiding Confidently Learning from Mislabeled Examples - [[2308.13862](https://arxiv.org/abs/2308.13862)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13862.md)].
- Beyond One-to-One: Rethinking the Referring Image Segmentation - [[2308.13853](https://arxiv.org/abs/2308.13853)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13853.md)].
- Point-Query Quadtree for Crowd Counting, Localization, and More - [[2308.13814](https://arxiv.org/abs/2308.13814)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13814.md)].
- ORES: Open-vocabulary Responsible Visual Synthesis - [[2308.13785](https://arxiv.org/abs/2308.13785)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13785.md)].
- Generalized Lightness Adaptation with Channel Selective Normalization - [[2308.13783](https://arxiv.org/abs/2308.13783)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13783.md)].
- MST-compression: Compressing and Accelerating Binary Neural Networks   with Minimum Spanning Tree - [[2308.13735](https://arxiv.org/abs/2308.13735)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13735.md)].
- ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon   Sequential Task Planning - [[2308.13724](https://arxiv.org/abs/2308.13724)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13724.md)].
- Joint Modeling of Feature, Correspondence, and a Compressed Memory for   Video Object Segmentation - [[2308.13505](https://arxiv.org/abs/2308.13505)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13505.md)].
- A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance - [[2308.13504](https://arxiv.org/abs/2308.13504)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13504.md)].
- Eventful Transformers: Leveraging Temporal Redundancy in Vision   Transformers - [[2308.13494](https://arxiv.org/abs/2308.13494)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13494.md)].
- Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability   of Language Models - [[2308.13467](https://arxiv.org/abs/2308.13467)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13467.md)].
- Position-Enhanced Visual Instruction Tuning for Multimodal Large   Language Models - [[2308.13437](https://arxiv.org/abs/2308.13437)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13437.md)].
- Nougat: Neural Optical Understanding for Academic Documents - [[2308.13418](https://arxiv.org/abs/2308.13418)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13418.md)].
- SoTaNa: The Open-Source Software Development Assistant - [[2308.13416](https://arxiv.org/abs/2308.13416)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13416.md)].
- Harvard Glaucoma Detection and Progression: A Multimodal Multitask   Dataset and Generalization-Reinforced Semi-Supervised Learning - [[2308.13411](https://arxiv.org/abs/2308.13411)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13411.md)].
- Relighting Neural Radiance Fields with Shadow and Highlight Hints - [[2308.13404](https://arxiv.org/abs/2308.13404)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13404.md)].
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs - [[2308.13387](https://arxiv.org/abs/2308.13387)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13387.md)].
- Distribution-Aligned Diffusion for Human Mesh Recovery - [[2308.13369](https://arxiv.org/abs/2308.13369)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13369.md)].
- ConSlide: Asynchronous Hierarchical Interaction Transformer with   Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis - [[2308.13324](https://arxiv.org/abs/2308.13324)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13324.md)].
- SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR   Semantic Segmentation - [[2308.13323](https://arxiv.org/abs/2308.13323)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13323.md)].
- A Game of Bundle Adjustment -- Learning Efficient Convergence - [[2308.13270](https://arxiv.org/abs/2308.13270)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13270.md)].
- Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual   Tracking and Segmentation - [[2308.13266](https://arxiv.org/abs/2308.13266)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13266.md)].
- Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a   Square and Symmetric Geometric Map - [[2308.13245](https://arxiv.org/abs/2308.13245)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13245.md)].
- Black-box Unsupervised Domain Adaptation with Bi-directional   Atkinson-Shiffrin Memory - [[2308.13236](https://arxiv.org/abs/2308.13236)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13236.md)].
- ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera   Multi-Object Tracking - [[2308.13229](https://arxiv.org/abs/2308.13229)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13229.md)].
- MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual   Captioning - [[2308.13218](https://arxiv.org/abs/2308.13218)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13218.md)].
- IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint   Inliers and Outliers Utilization - [[2308.13168](https://arxiv.org/abs/2308.13168)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13168.md)].
- Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative   Diffusion Model - [[2308.13164](https://arxiv.org/abs/2308.13164)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13164.md)].
- SciEval: A Multi-Level Large Language Model Evaluation Benchmark for   Scientific Research - [[2308.13149](https://arxiv.org/abs/2308.13149)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13149.md)].
- OmniQuant: Omnidirectionally Calibrated Quantization for Large Language   Models - [[2308.13137](https://arxiv.org/abs/2308.13137)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13137.md)].
- MLLM-DataEngine: An Iterative Refinement Approach for MLLM - [[2308.13566](https://arxiv.org/abs/2308.13566)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13566.md)].
- Preserving Modality Structure Improves Multi-Modal Learning - [[2308.13077](https://arxiv.org/abs/2308.13077)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.13077.md)].
- NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes - [[2308.12967](https://arxiv.org/abs/2308.12967)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12967.md)].
- Scenimefy: Learning to Craft Anime Scene via Semi-Supervised   Image-to-Image Translation - [[2308.12968](https://arxiv.org/abs/2308.12968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12968.md)].
- Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities - [[2308.12966](https://arxiv.org/abs/2308.12966)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12966.md)].
- Dense Text-to-Image Generation with Attention Modulation - [[2308.12964](https://arxiv.org/abs/2308.12964)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12964.md)].
- MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models - [[2308.12963](https://arxiv.org/abs/2308.12963)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12963.md)].
- Motion-Guided Masking for Spatiotemporal Representation Learning - [[2308.12962](https://arxiv.org/abs/2308.12962)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12962.md)].
- Towards Realistic Zero-Shot Classification via Self Structural Semantic   Alignment - [[2308.12960](https://arxiv.org/abs/2308.12960)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12960.md)].
- Code Llama: Open Foundation Models for Code - [[2308.12950](https://arxiv.org/abs/2308.12950)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12950.md)].
- Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language   Pretraining? - [[2308.12898](https://arxiv.org/abs/2308.12898)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12898.md)].
- Boosting Semantic Segmentation from the Perspective of Explicit Class   Embeddings - [[2308.12894](https://arxiv.org/abs/2308.12894)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12894.md)].
- ToonTalker: Cross-Domain Face Reenactment - [[2308.12866](https://arxiv.org/abs/2308.12866)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12866.md)].
- Fast Adversarial Training with Smooth Convergence - [[2308.12857](https://arxiv.org/abs/2308.12857)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12857.md)].
- On Offline Evaluation of 3D Object Detection for Autonomous Driving - [[2308.12779](https://arxiv.org/abs/2308.12779)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12779.md)].
- LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition - [[2308.12774](https://arxiv.org/abs/2308.12774)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12774.md)].
- VIGC: Visual Instruction Generation and Correction - [[2308.12714](https://arxiv.org/abs/2308.12714)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12714.md)].
- A Parse-Then-Place Approach for Generating Graphic Layouts from Textual   Descriptions - [[2308.12700](https://arxiv.org/abs/2308.12700)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12700.md)].
- PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation - [[2308.12604](https://arxiv.org/abs/2308.12604)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12604.md)].
- Logic-induced Diagnostic Reasoning for Semi-supervised Semantic   Segmentation - [[2308.12595](https://arxiv.org/abs/2308.12595)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12595.md)].
- Self-supervised Learning of Implicit Shape Representation with Dense   Correspondence for Deformable Objects - [[2308.12590](https://arxiv.org/abs/2308.12590)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12590.md)].
- Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language   Navigation - [[2308.12587](https://arxiv.org/abs/2308.12587)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12587.md)].
- Hyperbolic Audio-visual Zero-shot Learning - [[2308.12558](https://arxiv.org/abs/2308.12558)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12558.md)].
- Synchronize Feature Extracting and Matching: A Single Branch Framework   for 3D Object Tracking - [[2308.12549](https://arxiv.org/abs/2308.12549)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12549.md)].
- CALM : A Multi-task Benchmark for Comprehensive Assessment of Language   Model Bias - [[2308.12539](https://arxiv.org/abs/2308.12539)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12539.md)].
- Masked Autoencoders are Efficient Class Incremental Learners - [[2308.12510](https://arxiv.org/abs/2308.12510)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12510.md)].
- CGMI: Configurable General Multi-Agent Interaction Framework - [[2308.12503](https://arxiv.org/abs/2308.12503)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12503.md)].
- With a Little Help from your own Past: Prototypical Memory Networks for   Image Captioning - [[2308.12383](https://arxiv.org/abs/2308.12383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12383.md)].
- Vision Transformer Adapters for Generalizable Multitask Learning - [[2308.12372](https://arxiv.org/abs/2308.12372)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12372.md)].
- AdVerb: Visually Guided Audio Dereverberation - [[2308.12370](https://arxiv.org/abs/2308.12370)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12370.md)].
- Continual Zero-Shot Learning through Semantically Guided Generative   Random Walks - [[2308.12366](https://arxiv.org/abs/2308.12366)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12366.md)].
- Diffusion-based Image Translation with Label Guidance for Domain   Adaptive Semantic Segmentation - [[2308.12350](https://arxiv.org/abs/2308.12350)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12350.md)].
- Improving Generative Model-based Unfolding with Schrödinger Bridges - [[2308.12351](https://arxiv.org/abs/2308.12351)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12351.md)].
- CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from   Unbounded Synthesized Images - [[2308.12288](https://arxiv.org/abs/2308.12288)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12288.md)].
- Simple is Better and Large is Not Enough: Towards Ensembling of   Foundational Language Models - [[2308.12272](https://arxiv.org/abs/2308.12272)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12272.md)].
- Diffusion Language Models Can Perform Many Tasks with Scaling and   Instruction-Finetuning - [[2308.12219](https://arxiv.org/abs/2308.12219)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12219.md)].
- SG-Former: Self-guided Transformer with Evolving Token Reallocation - [[2308.12216](https://arxiv.org/abs/2308.12216)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12216.md)].
- CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No - [[2308.12213](https://arxiv.org/abs/2308.12213)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12213.md)].
- Curriculum Learning with Adam: The Devil Is in the Wrong Details - [[2308.12202](https://arxiv.org/abs/2308.12202)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12202.md)].
- Sign Language Translation with Iterative Prototype - [[2308.12191](https://arxiv.org/abs/2308.12191)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12191.md)].
- SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows   from Noisy Labels - [[2308.12064](https://arxiv.org/abs/2308.12064)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12064.md)].
- DR-Tune: Improving Fine-tuning of Pretrained Visual Models by   Distribution Regularization with Semantic Calibration - [[2308.12058](https://arxiv.org/abs/2308.12058)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12058.md)].
- Aligning Language Models with Offline Reinforcement Learning from Human   Feedback - [[2308.12050](https://arxiv.org/abs/2308.12050)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12050.md)].
- Large Multilingual Models Pivot Zero-Shot Multimodal Learning across   Languages - [[2308.12038](https://arxiv.org/abs/2308.12038)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12038.md)].
- RefEgo: Referring Expression Comprehension Dataset from First-Person   Perception of Ego4D - [[2308.12035](https://arxiv.org/abs/2308.12035)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12035.md)].
- From Instructions to Intrinsic Human Values -- A Survey of Alignment   Goals for Big Models - [[2308.12014](https://arxiv.org/abs/2308.12014)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.12014.md)].
- RankMixup: Ranking-Based Mixup Training for Network Calibration - [[2308.11990](https://arxiv.org/abs/2308.11990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11990.md)].
- Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields - [[2308.11974](https://arxiv.org/abs/2308.11974)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11974.md)].
- EVE: Efficient Vision-Language Pre-training with Masked Prediction and   Modality-Aware MoE - [[2308.11971](https://arxiv.org/abs/2308.11971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11971.md)].
- OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes - [[2308.11928](https://arxiv.org/abs/2308.11928)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11928.md)].
- Recovering a Molecule's 3D Dynamics from Liquid-phase Electron   Microscopy Movies - [[2308.11927](https://arxiv.org/abs/2308.11927)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11927.md)].
- LFS-GAN: Lifelong Few-Shot Image Generation - [[2308.11917](https://arxiv.org/abs/2308.11917)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11917.md)].
- Semantic-Aware Implicit Template Learning via Part Deformation   Consistency - [[2308.11916](https://arxiv.org/abs/2308.11916)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11916.md)].
- ACLS: Adaptive and Conditional Label Smoothing for Network Calibration - [[2308.11911](https://arxiv.org/abs/2308.11911)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11911.md)].
- Camera-Driven Representation Learning for Unsupervised Domain Adaptive   Person Re-identification - [[2308.11901](https://arxiv.org/abs/2308.11901)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11901.md)].
- Does Physical Adversarial Example Really Matter to Autonomous Driving?   Towards System-Level Effect of Adversarial Object Evasion Attack - [[2308.11894](https://arxiv.org/abs/2308.11894)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11894.md)].
- SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal   Targets - [[2308.11880](https://arxiv.org/abs/2308.11880)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11880.md)].
- Semi-Supervised Learning via Weight-aware Distillation under Class   Distribution Mismatch - [[2308.11874](https://arxiv.org/abs/2308.11874)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11874.md)].
- Time Does Tell: Self-Supervised Time-Tuning of Dense Image   Representations - [[2308.11796](https://arxiv.org/abs/2308.11796)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11796.md)].
- Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer   with Mixture-of-View-Experts - [[2308.11793](https://arxiv.org/abs/2308.11793)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11793.md)].
- Understanding Hessian Alignment for Domain Generalization - [[2308.11778](https://arxiv.org/abs/2308.11778)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11778.md)].
- Efficient Controllable Multi-Task Architectures - [[2308.11744](https://arxiv.org/abs/2308.11744)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11744.md)].
- Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape - [[2308.11737](https://arxiv.org/abs/2308.11737)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11737.md)].
- Efficient Benchmarking (of Language Models) - [[2308.11696](https://arxiv.org/abs/2308.11696)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11696.md)].
- Delving into Motion-Aware Matching for Monocular 3D Object Tracking - [[2308.11607](https://arxiv.org/abs/2308.11607)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11607.md)].
- StoryBench: A Multifaceted Benchmark for Continuous Story Visualization - [[2308.11606](https://arxiv.org/abs/2308.11606)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11606.md)].
- SPANet: Frequency-balancing Token Mixer using Spectral Pooling   Aggregation Modulation - [[2308.11568](https://arxiv.org/abs/2308.11568)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11568.md)].
- Multi-event Video-Text Retrieval - [[2308.11551](https://arxiv.org/abs/2308.11551)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11551.md)].
- TrackFlow: Multi-Object Tracking with Normalizing Flows - [[2308.11513](https://arxiv.org/abs/2308.11513)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11513.md)].
- Learning from Semantic Alignment between Unpaired Multiviews for   Egocentric Video Recognition - [[2308.11489](https://arxiv.org/abs/2308.11489)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11489.md)].
- Learning a More Continuous Zero Level Set in Unsigned Distance Fields   through Level Set Projection - [[2308.11441](https://arxiv.org/abs/2308.11441)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11441.md)].
- A Survey on Large Language Model based Autonomous Agents - [[2308.11432](https://arxiv.org/abs/2308.11432)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11432.md)].
- ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes - [[2308.11417](https://arxiv.org/abs/2308.11417)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11417.md)].
- How Much Temporal Long-Term Context is Needed for Action Segmentation? - [[2308.11358](https://arxiv.org/abs/2308.11358)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11358.md)].
- Exemplar-Free Continual Transformer with Convolutions - [[2308.11357](https://arxiv.org/abs/2308.11357)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11357.md)].
- ProAgent: Building Proactive Cooperative AI with Large Language Models - [[2308.11339](https://arxiv.org/abs/2308.11339)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11339.md)].
- GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive   Language-Image Pre-training - [[2308.11331](https://arxiv.org/abs/2308.11331)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11331.md)].
- CiteTracker: Correlating Image and Text for Visual Tracking - [[2308.11322](https://arxiv.org/abs/2308.11322)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11322.md)].
- CNN based Cuneiform Sign Detection Learned from Annotated 3D Renderings   and Mapped Photographs with Illumination Augmentation - [[2308.11277](https://arxiv.org/abs/2308.11277)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11277.md)].
- HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations - [[2308.11261](https://arxiv.org/abs/2308.11261)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11261.md)].
- ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts - [[2308.11236](https://arxiv.org/abs/2308.11236)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11236.md)].
- LDP-Feat: Image Features with Local Differential Privacy - [[2308.11223](https://arxiv.org/abs/2308.11223)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11223.md)].
- DiffCloth: Diffusion Based Garment Synthesis and Manipulation via   Structural Cross-modal Semantic Alignment - [[2308.11206](https://arxiv.org/abs/2308.11206)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11206.md)].
- ViLLA: Fine-Grained Vision-Language Representation Learning from   Real-World Data - [[2308.11194](https://arxiv.org/abs/2308.11194)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11194.md)].
- Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models - [[2308.11186](https://arxiv.org/abs/2308.11186)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11186.md)].
- MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic   Video Segmentation - [[2308.11185](https://arxiv.org/abs/2308.11185)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11185.md)].
- ReFit: Recurrent Fitting Network for 3D Human Recovery - [[2308.11184](https://arxiv.org/abs/2308.11184)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11184.md)].
- Hierarchical Point-based Active Learning for Semi-supervised Point Cloud   Semantic Segmentation - [[2308.11166](https://arxiv.org/abs/2308.11166)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11166.md)].
- Domain Generalization via Rationale Invariance - [[2308.11158](https://arxiv.org/abs/2308.11158)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11158.md)].
- Efficient View Synthesis with Neural Radiance Distribution Field - [[2308.11130](https://arxiv.org/abs/2308.11130)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11130.md)].
- LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video   Reconstruction - [[2308.11116](https://arxiv.org/abs/2308.11116)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11116.md)].
- CAME: Contrastive Automated Model Evaluation - [[2308.11111](https://arxiv.org/abs/2308.11111)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11111.md)].
- Recursive Video Lane Detection - [[2308.11106](https://arxiv.org/abs/2308.11106)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11106.md)].
- MosaiQ: Quantum Generative Adversarial Networks for Image Generation on   NISQ Computers - [[2308.11096](https://arxiv.org/abs/2308.11096)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11096.md)].
- Video OWL-ViT: Temporally-consistent open-world localization in video - [[2308.11093](https://arxiv.org/abs/2308.11093)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11093.md)].
- Audio-Visual Class-Incremental Learning - [[2308.11073](https://arxiv.org/abs/2308.11073)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11073.md)].
- TeD-SPAD: Temporal Distinctiveness for Self-supervised   Privacy-preservation for video Anomaly Detection - [[2308.11072](https://arxiv.org/abs/2308.11072)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11072.md)].
- Neural Amortized Inference for Nested Multi-agent Reasoning - [[2308.11071](https://arxiv.org/abs/2308.11071)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11071.md)].
- MetaGCD: Learning to Continually Learn in Generalized Category Discovery - [[2308.11063](https://arxiv.org/abs/2308.11063)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11063.md)].
- UnLoc: A Unified Framework for Video Localization Tasks - [[2308.11062](https://arxiv.org/abs/2308.11062)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11062.md)].
- Coordinate Quantized Neural Implicit Representations for Multi-view   Reconstruction - [[2308.11025](https://arxiv.org/abs/2308.11025)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11025.md)].
- Spectral Graphormer: Spectral Graph-based Transformer for Egocentric   Two-Hand Reconstruction using Multi-View Color Images - [[2308.11015](https://arxiv.org/abs/2308.11015)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11015.md)].
- Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical   Deformation - [[2308.10898](https://arxiv.org/abs/2308.10898)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10898.md)].
- Can Language Models Learn to Listen? - [[2308.10897](https://arxiv.org/abs/2308.10897)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10897.md)].
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring   Emergent Behaviors in Agents - [[2308.10848](https://arxiv.org/abs/2308.10848)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10848.md)].
- EigenPlaces: Training Viewpoint Robust Models for Visual Place   Recognition - [[2308.10832](https://arxiv.org/abs/2308.10832)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10832.md)].
- Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image   Reconstruction - [[2308.10820](https://arxiv.org/abs/2308.10820)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10820.md)].
- Jumping through Local Minima: Quantization in the Loss Landscape of   Vision Transformers - [[2308.10814](https://arxiv.org/abs/2308.10814)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10814.md)].
- Improving Continuous Sign Language Recognition with Cross-Lingual Signs - [[2308.10809](https://arxiv.org/abs/2308.10809)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10809.md)].
- MGMAE: Motion Guided Masking for Video Masked Autoencoding - [[2308.10794](https://arxiv.org/abs/2308.10794)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10794.md)].
- Instruction Tuning for Large Language Models: A Survey - [[2308.10792](https://arxiv.org/abs/2308.10792)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10792.md)].
- WanJuan: A Comprehensive Multimodal Dataset for Advancing English and   Chinese Large Models - [[2308.10755](https://arxiv.org/abs/2308.10755)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10755.md)].
- On the Adversarial Robustness of Multi-Modal Foundation Models - [[2308.10741](https://arxiv.org/abs/2308.10741)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10741.md)].
- Patch Is Not All You Need - [[2308.10729](https://arxiv.org/abs/2308.10729)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10729.md)].
- Vanishing Point Estimation in Uncalibrated Images with Prior Gravity   Direction - [[2308.10694](https://arxiv.org/abs/2308.10694)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10694.md)].
- Learning Clothing and Pose Invariant 3D Shape Representation for   Long-Term Person Re-Identification - [[2308.10658](https://arxiv.org/abs/2308.10658)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10658.md)].
- GaitPT: Skeletons Are All You Need For Gait Recognition - [[2308.10623](https://arxiv.org/abs/2308.10623)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10623.md)].
- A step towards understanding why classification helps regression - [[2308.10603](https://arxiv.org/abs/2308.10603)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10603.md)].
- Image-free Classifier Injection for Zero-Shot Classification - [[2308.10599](https://arxiv.org/abs/2308.10599)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10599.md)].
- CHORD: Category-level Hand-held Object Reconstruction via Shape   Deformation - [[2308.10574](https://arxiv.org/abs/2308.10574)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10574.md)].
- Self-Feedback DETR for Temporal Action Detection - [[2308.10570](https://arxiv.org/abs/2308.10570)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10570.md)].
- Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations - [[2308.10554](https://arxiv.org/abs/2308.10554)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10554.md)].
- QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D   Object Detection - [[2308.10515](https://arxiv.org/abs/2308.10515)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10515.md)].
- Large Language Model as a User Simulator - [[2308.11534](https://arxiv.org/abs/2308.11534)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11534.md)].
- Texture Generation on 3D Meshes with Point-UV Diffusion - [[2308.10490](https://arxiv.org/abs/2308.10490)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10490.md)].
- ADNet: Lane Shape Prediction via Anchor Decomposition - [[2308.10481](https://arxiv.org/abs/2308.10481)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10481.md)].
- STEERER: Resolving Scale Variations for Counting and Localization via   Selective Inheritance Learning - [[2308.10468](https://arxiv.org/abs/2308.10468)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10468.md)].
- Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation   with Large Language Models - [[2308.10462](https://arxiv.org/abs/2308.10462)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10462.md)].
- Privacy-Preserving Face Recognition Using Random Frequency Components - [[2308.10461](https://arxiv.org/abs/2308.10461)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10461.md)].
- Explore and Tell: Embodied Visual Captioning in 3D Environments - [[2308.10447](https://arxiv.org/abs/2308.10447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10447.md)].
- When Prompt-based Incremental Learning Does Not Meet Strong Pretraining - [[2308.10445](https://arxiv.org/abs/2308.10445)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10445.md)].
- X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events - [[2308.10441](https://arxiv.org/abs/2308.10441)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10441.md)].
- GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems - [[2308.10435](https://arxiv.org/abs/2308.10435)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10435.md)].
- Diffusion Model as Representation Learner - [[2308.10916](https://arxiv.org/abs/2308.10916)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10916.md)].
- Simple Baselines for Interactive Video Retrieval with Questions and   Answers - [[2308.10402](https://arxiv.org/abs/2308.10402)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10402.md)].
- FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes   and Biases in Large Language Models - [[2308.10397](https://arxiv.org/abs/2308.10397)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10397.md)].
- Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language   Models - [[2308.10379](https://arxiv.org/abs/2308.10379)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10379.md)].
- LegalBench: A Collaboratively Built Benchmark for Measuring Legal   Reasoning in Large Language Models - [[2308.11462](https://arxiv.org/abs/2308.11462)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.11462.md)].
- Strata-NeRF : Neural Radiance Fields for Stratified Scenes - [[2308.10337](https://arxiv.org/abs/2308.10337)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10337.md)].
- Coordinate Transformer: Achieving Single-stage Multi-person Mesh   Recovery from Videos - [[2308.10334](https://arxiv.org/abs/2308.10334)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10334.md)].
- Improving Adversarial Robustness of Masked Autoencoders via Test-time   Frequency-domain Prompting - [[2308.10315](https://arxiv.org/abs/2308.10315)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10315.md)].
- DVGaze: Dual-View Gaze Estimation - [[2308.10310](https://arxiv.org/abs/2308.10310)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10310.md)].
- Representation Disparity-aware Distillation for 3D Object Detection - [[2308.10308](https://arxiv.org/abs/2308.10308)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10308.md)].
- Omnidirectional Information Gathering for Knowledge Transfer-based   Audio-Visual Navigation - [[2308.10306](https://arxiv.org/abs/2308.10306)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10306.md)].
- Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video - [[2308.10305](https://arxiv.org/abs/2308.10305)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10305.md)].
- DomainAdaptor: A Novel Approach to Test-time Adaptation - [[2308.10297](https://arxiv.org/abs/2308.10297)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10297.md)].
- DomainDrop: Suppressing Domain-Sensitive Channels for Domain   Generalization - [[2308.10285](https://arxiv.org/abs/2308.10285)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10285.md)].
- GPFL: Simultaneously Learning Global and Personalized Feature   Information for Personalized Federated Learning - [[2308.10279](https://arxiv.org/abs/2308.10279)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10279.md)].
- CharacterChat: Learning towards Conversational AI with Personalized   Social Support - [[2308.10278](https://arxiv.org/abs/2308.10278)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10278.md)].
- Minimalist Traffic Prediction: Linear Layer Is All You Need - [[2308.10276](https://arxiv.org/abs/2308.10276)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10276.md)].
- StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized   Image-Dialogue Data - [[2308.10253](https://arxiv.org/abs/2308.10253)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10253.md)].
- GeT: Generative Target Structure Debiasing for Domain Adaptation - [[2308.10205](https://arxiv.org/abs/2308.10205)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10205.md)].
- ChatEDA: A Large Language Model Powered Autonomous Agent for EDA - [[2308.10204](https://arxiv.org/abs/2308.10204)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10204.md)].
- ViT-Lens: Towards Omni-modal Representations - [[2308.10185](https://arxiv.org/abs/2308.10185)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10185.md)].
- Neural Interactive Keypoint Detection - [[2308.10174](https://arxiv.org/abs/2308.10174)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10174.md)].
- VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language   Navigation - [[2308.10172](https://arxiv.org/abs/2308.10172)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10172.md)].
- FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory - [[2308.10170](https://arxiv.org/abs/2308.10170)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10170.md)].
- Unilaterally Aggregated Contrastive Learning with Hierarchical   Augmentation for Anomaly Detection - [[2308.10155](https://arxiv.org/abs/2308.10155)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10155.md)].
- A Survey on Fairness in Large Language Models - [[2308.10149](https://arxiv.org/abs/2308.10149)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10149.md)].
- ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy   in Transformer - [[2308.10147](https://arxiv.org/abs/2308.10147)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10147.md)].
- OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision - [[2308.10146](https://arxiv.org/abs/2308.10146)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10146.md)].
- ExpeL: LLM Agents Are Experiential Learners - [[2308.10144](https://arxiv.org/abs/2308.10144)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10144.md)].
- March in Chat: Interactive Prompting for Remote Embodied Referring   Expression - [[2308.10141](https://arxiv.org/abs/2308.10141)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10141.md)].
- AutoReP: Automatic ReLU Replacement for Fast Private Network Inference - [[2308.10134](https://arxiv.org/abs/2308.10134)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10134.md)].
- TransFace: Calibrating Transformer Training for Face Recognition from a   Data-Centric Perspective - [[2308.10133](https://arxiv.org/abs/2308.10133)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10133.md)].
- 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose   Estimation - [[2308.10123](https://arxiv.org/abs/2308.10123)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10123.md)].
- HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision   Mitigation - [[2308.10122](https://arxiv.org/abs/2308.10122)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10122.md)].
- Robust Mixture-of-Expert Training for Convolutional Neural Networks - [[2308.10110](https://arxiv.org/abs/2308.10110)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10110.md)].
- Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with   Monocular Videos - [[2308.10089](https://arxiv.org/abs/2308.10089)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10089.md)].
- GameEval: Evaluating LLMs on Conversational Games - [[2308.10032](https://arxiv.org/abs/2308.10032)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10032.md)].
- Single Image Reflection Separation via Component Synergy - [[2308.10027](https://arxiv.org/abs/2308.10027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10027.md)].
- Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation - [[2308.10016](https://arxiv.org/abs/2308.10016)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10016.md)].
- Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of   Biases-Specific Experts - [[2308.10005](https://arxiv.org/abs/2308.10005)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.10005.md)].
- ClothesNet: An Information-Rich 3D Garment Model Repository with   Simulated Clothes Environment - [[2308.09987](https://arxiv.org/abs/2308.09987)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09987.md)].
- FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for   Large Language Models - [[2308.09975](https://arxiv.org/abs/2308.09975)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09975.md)].
- Disposable Transfer Learning for Selective Source Task Unlearning - [[2308.09971](https://arxiv.org/abs/2308.09971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09971.md)].
- Tackling Vision Language Tasks Through Learning Inner Monologues - [[2308.09970](https://arxiv.org/abs/2308.09970)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09970.md)].
- Semantics Meets Temporal Correspondence: Self-supervised Object-centric   Learning in Videos - [[2308.09951](https://arxiv.org/abs/2308.09951)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09951.md)].
- Scene-Aware Feature Matching - [[2308.09949](https://arxiv.org/abs/2308.09949)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09949.md)].
- Weakly-Supervised Action Localization by Hierarchically-structured   Latent Attention Modeling - [[2308.09946](https://arxiv.org/abs/2308.09946)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09946.md)].
- On the Robustness of Open-World Test-Time Training: Self-Training with   Dynamic Prototype Expansion - [[2308.09942](https://arxiv.org/abs/2308.09942)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09942.md)].
- Understanding Self-attention Mechanism via Dynamical System Perspective - [[2308.09939](https://arxiv.org/abs/2308.09939)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09939.md)].
- BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual   Questions - [[2308.09936](https://arxiv.org/abs/2308.09936)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09936.md)].
- MDCS: More Diverse Experts with Consistency Self-distillation for   Long-tailed Recognition - [[2308.09922](https://arxiv.org/abs/2308.09922)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09922.md)].
- VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning   Decoupled Rotations on the Spherical Representations - [[2308.09916](https://arxiv.org/abs/2308.09916)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09916.md)].
- Scalable Video Object Segmentation with Simplified Framework - [[2308.09903](https://arxiv.org/abs/2308.09903)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09903.md)].
- SwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin   Transformer and LSTM - [[2308.09891](https://arxiv.org/abs/2308.09891)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09891.md)].
- Calibrating Uncertainty for Semi-Supervised Crowd Counting - [[2308.09887](https://arxiv.org/abs/2308.09887)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09887.md)].
- Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with   Masked Autoencoders - [[2308.09882](https://arxiv.org/abs/2308.09882)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09882.md)].
- Skill Transformer: A Monolithic Policy for Mobile Manipulation - [[2308.09873](https://arxiv.org/abs/2308.09873)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09873.md)].
- A Theory of Topological Derivatives for Inverse Rendering of Geometry - [[2308.09865](https://arxiv.org/abs/2308.09865)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09865.md)].
- How susceptible are LLMs to Logical Fallacies? - [[2308.09853](https://arxiv.org/abs/2308.09853)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09853.md)].
- Synergistic Integration of Large Language Models and Cognitive   Architectures for Robust AI: An Exploratory Analysis - [[2308.09830](https://arxiv.org/abs/2308.09830)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09830.md)].
- Learning from A Single Graph is All You Need for Near-Shortest Path   Routing in Wireless Networks - [[2308.09829](https://arxiv.org/abs/2308.09829)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09829.md)].
- VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity   Control - [[2308.09804](https://arxiv.org/abs/2308.09804)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09804.md)].
- Long-range Multimodal Pretraining for Movie Understanding - [[2308.09775](https://arxiv.org/abs/2308.09775)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09775.md)].
- Smoothness Similarity Regularization for Few-Shot GAN Adaptation - [[2308.09717](https://arxiv.org/abs/2308.09717)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09717.md)].
- Robust Monocular Depth Estimation under Challenging Conditions - [[2308.09711](https://arxiv.org/abs/2308.09711)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09711.md)].
- Red-Teaming Large Language Models using Chain of Utterances for   Safety-Alignment - [[2308.09662](https://arxiv.org/abs/2308.09662)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09662.md)].
- Is context all you need? Scaling Neural Sign Language Translation to   Large Domains of Discourse - [[2308.09622](https://arxiv.org/abs/2308.09622)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09622.md)].
- LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and   Benchmark - [[2308.09618](https://arxiv.org/abs/2308.09618)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09618.md)].
- ChatHaruhi: Reviving Anime Character in Reality via Large Language Model - [[2308.09597](https://arxiv.org/abs/2308.09597)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09597.md)].
- StableVideo: Text-driven Consistency-aware Diffusion Video Editing - [[2308.09592](https://arxiv.org/abs/2308.09592)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09592.md)].
- WizardMath: Empowering Mathematical Reasoning for Large Language Models   via Reinforced Evol-Instruct - [[2308.09583](https://arxiv.org/abs/2308.09583)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09583.md)].
- PUMGPT: A Large Vision-Language Model for Product Understanding - [[2308.09568](https://arxiv.org/abs/2308.09568)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09568.md)].
- Normalization Is All You Need: Understanding Layer-Normalized Federated   Learning under Extreme Label Shift - [[2308.09565](https://arxiv.org/abs/2308.09565)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09565.md)].
- Deep Equilibrium Object Detection - [[2308.09564](https://arxiv.org/abs/2308.09564)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09564.md)].
- Meta-ZSDETR: Zero-shot DETR with Meta-learning - [[2308.09540](https://arxiv.org/abs/2308.09540)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09540.md)].
- Small Object Detection via Coarse-to-fine Proposal Generation and   Imitation Learning - [[2308.09534](https://arxiv.org/abs/2308.09534)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09534.md)].
- Leveraging Intrinsic Properties for Non-Rigid Garment Alignment - [[2308.09519](https://arxiv.org/abs/2308.09519)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09519.md)].
- ResQ: Residual Quantization for Video Perception - [[2308.09511](https://arxiv.org/abs/2308.09511)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09511.md)].
- Vision Relation Transformer for Unbiased Scene Graph Generation - [[2308.09472](https://arxiv.org/abs/2308.09472)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09472.md)].
- Scope is all you need: Transforming LLMs for HPC Code - [[2308.09440](https://arxiv.org/abs/2308.09440)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09440.md)].
- MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection - [[2308.09421](https://arxiv.org/abs/2308.09421)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09421.md)].
- Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set   Domain Generalization - [[2308.09391](https://arxiv.org/abs/2308.09391)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09391.md)].
- DReg-NeRF: Deep Registration for Neural Radiance Fields - [[2308.09386](https://arxiv.org/abs/2308.09386)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09386.md)].
- Label-Free Event-based Object Recognition via Joint Learning with Image   Reconstruction from Events - [[2308.09383](https://arxiv.org/abs/2308.09383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09383.md)].
- Open-vocabulary Video Question Answering: A New Benchmark for Evaluating   the Generalizability of Video Question Answering Models - [[2308.09363](https://arxiv.org/abs/2308.09363)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09363.md)].
- RLIPv2: Fast Scaling of Relational Language-Image Pre-training - [[2308.09351](https://arxiv.org/abs/2308.09351)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09351.md)].
- Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching - [[2308.09346](https://arxiv.org/abs/2308.09346)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09346.md)].
- Audio-Visual Glance Network for Efficient Video Recognition - [[2308.09322](https://arxiv.org/abs/2308.09322)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09322.md)].
- Towards Attack-tolerant Federated Learning via Critical Parameter   Analysis - [[2308.09318](https://arxiv.org/abs/2308.09318)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09318.md)].
- Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud   Semantic Segmentation - [[2308.09314](https://arxiv.org/abs/2308.09314)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09314.md)].
- Lip Reading for Low-resource Languages by Learning and Combining General   Speech Knowledge and Language-specific Knowledge - [[2308.09311](https://arxiv.org/abs/2308.09311)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09311.md)].
- DiffDis: Empowering Generative Diffusion Model with Cross-Modal   Discrimination Capability - [[2308.09306](https://arxiv.org/abs/2308.09306)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09306.md)].
- Human Part-wise 3D Motion Context Learning for Sign Language Recognition - [[2308.09305](https://arxiv.org/abs/2308.09305)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09305.md)].
- NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector   Quantization for Continual Learning - [[2308.09297](https://arxiv.org/abs/2308.09297)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09297.md)].
- Self-Calibrated Cross Attention Network for Few-Shot Segmentation - [[2308.09294](https://arxiv.org/abs/2308.09294)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09294.md)].
- Diverse Cotraining Makes Strong Semi-Supervised Segmentor - [[2308.09281](https://arxiv.org/abs/2308.09281)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09281.md)].
- Point Contrastive Prediction with Semantic Clustering for   Self-Supervised Learning on Point Cloud Videos - [[2308.09247](https://arxiv.org/abs/2308.09247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09247.md)].
- Masked Spatio-Temporal Structure Prediction for Self-supervised Learning   on Point Cloud Videos - [[2308.09245](https://arxiv.org/abs/2308.09245)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09245.md)].
- SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera   Videos - [[2308.09244](https://arxiv.org/abs/2308.09244)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09244.md)].
- ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive   Sparse Anchor Generation - [[2308.09242](https://arxiv.org/abs/2308.09242)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09242.md)].
- Generalized Sum Pooling for Metric Learning - [[2308.09228](https://arxiv.org/abs/2308.09228)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09228.md)].
- FedPerfix: Towards Partial Model Personalization of Vision Transformers   in Federated Learning - [[2308.09160](https://arxiv.org/abs/2308.09160)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09160.md)].
- The Unreasonable Effectiveness of Large Language-Vision Models for   Source-free Video Domain Adaptation - [[2308.09139](https://arxiv.org/abs/2308.09139)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09139.md)].
- ImGeoNet: Image-induced Geometry-aware Voxel Representation for   Multi-view 3D Object Detection - [[2308.09098](https://arxiv.org/abs/2308.09098)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09098.md)].
- SimFIR: A Simple Framework for Fisheye Image Rectification with   Self-supervised Representation Learning - [[2308.09040](https://arxiv.org/abs/2308.09040)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.09040.md)].
- Reinforced Self-Training (ReST) for Language Modeling - [[2308.08998](https://arxiv.org/abs/2308.08998)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08998.md)].
- Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction - [[2308.08942](https://arxiv.org/abs/2308.08942)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08942.md)].
- Identity-Seeking Self-Supervised Representation Learning for   Generalizable Person Re-identification - [[2308.08887](https://arxiv.org/abs/2308.08887)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08887.md)].
- Event-Guided Procedure Planning from Instructional Videos with Text   Supervision - [[2308.08885](https://arxiv.org/abs/2308.08885)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08885.md)].
- Towards Semi-supervised Learning with Non-random Missing Labels - [[2308.08872](https://arxiv.org/abs/2308.08872)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08872.md)].
- Spatially and Spectrally Consistent Deep Functional Maps - [[2308.08871](https://arxiv.org/abs/2308.08871)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08871.md)].
- D-IF: Uncertainty-aware Human Digitization via Implicit Distribution   Field - [[2308.08857](https://arxiv.org/abs/2308.08857)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08857.md)].
- Realistic Full-Body Tracking from Sparse Observations via Joint-Level   Modeling - [[2308.08855](https://arxiv.org/abs/2308.08855)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08855.md)].
- CMB: A Comprehensive Medical Benchmark in Chinese - [[2308.08833](https://arxiv.org/abs/2308.08833)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08833.md)].
- Fast Inference and Update of Probabilistic Density Estimation on   Trajectory Prediction - [[2308.08824](https://arxiv.org/abs/2308.08824)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08824.md)].
- MixBag: Bag-Level Data Augmentation for Learning from Label Proportions - [[2308.08822](https://arxiv.org/abs/2308.08822)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08822.md)].
- Label Shift Adapter for Test-Time Adaptation under Covariate and Label   Shifts - [[2308.08810](https://arxiv.org/abs/2308.08810)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08810.md)].
- Long-Range Grouping Transformer for Multi-View 3D Reconstruction - [[2308.08724](https://arxiv.org/abs/2308.08724)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08724.md)].
- V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints - [[2308.08715](https://arxiv.org/abs/2308.08715)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08715.md)].
- Dynamic Neural Network is All You Need: Understanding the Robustness of   Dynamic Mechanisms in Neural Networks - [[2308.08709](https://arxiv.org/abs/2308.08709)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08709.md)].
- TeCH: Text-guided Reconstruction of Lifelike Clothed Humans - [[2308.08545](https://arxiv.org/abs/2308.08545)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08545.md)].
- MeViS: A Large-scale Benchmark for Video Segmentation with Motion   Expressions - [[2308.08544](https://arxiv.org/abs/2308.08544)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08544.md)].
- Learning to Distill Global Representation for Sparse-View CT - [[2308.08463](https://arxiv.org/abs/2308.08463)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08463.md)].
- ALIP: Adaptive Language-Image Pre-training with Synthetic Caption - [[2308.08428](https://arxiv.org/abs/2308.08428)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08428.md)].
- Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer - [[2308.08414](https://arxiv.org/abs/2308.08414)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08414.md)].
- SIGMA: Scale-Invariant Global Sparse Shape Matching - [[2308.08393](https://arxiv.org/abs/2308.08393)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08393.md)].
- Agglomerative Transformer for Human-Object Interaction Detection - [[2308.08370](https://arxiv.org/abs/2308.08370)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08370.md)].
- Membrane Potential Batch Normalization for Spiking Neural Networks - [[2308.08359](https://arxiv.org/abs/2308.08359)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08359.md)].
- Stable and Causal Inference for Discriminative Self-supervised Deep   Visual Representations - [[2308.08321](https://arxiv.org/abs/2308.08321)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08321.md)].
- Dual-Stream Diffusion Net for Text-to-Video Generation - [[2308.08316](https://arxiv.org/abs/2308.08316)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08316.md)].
- SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes - [[2308.08258](https://arxiv.org/abs/2308.08258)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08258.md)].
- MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain   Conversation - [[2308.08239](https://arxiv.org/abs/2308.08239)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08239.md)].
- Inherent Redundancy in Spiking Neural Networks - [[2308.08227](https://arxiv.org/abs/2308.08227)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08227.md)].
- Low-Light Image Enhancement with Illumination-Aware Gamma Correction and   Complete Image Modelling Network - [[2308.08220](https://arxiv.org/abs/2308.08220)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08220.md)].
- Unsupervised Domain Adaptive Detection with Network Stability Analysis - [[2308.08182](https://arxiv.org/abs/2308.08182)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08182.md)].
- Learning to Generate Semantic Layouts for Higher Text-Image   Correspondence in Text-to-Image Synthesis - [[2308.08157](https://arxiv.org/abs/2308.08157)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08157.md)].
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation   Framework - [[2308.08155](https://arxiv.org/abs/2308.08155)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08155.md)].
- GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain   Adaptive 3D Object Detection from Point Clouds - [[2308.08140](https://arxiv.org/abs/2308.08140)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08140.md)].
- OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution - [[2308.08114](https://arxiv.org/abs/2308.08114)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08114.md)].
- View Consistent Purification for Accurate Cross-View Localization - [[2308.08110](https://arxiv.org/abs/2308.08110)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08110.md)].
- Separate the Wheat from the Chaff: Model Deficiency Unlearning via   Parameter-Efficient Module Operation - [[2308.08090](https://arxiv.org/abs/2308.08090)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08090.md)].
- DragNUWA: Fine-grained Control in Video Generation by Integrating Text,   Image, and Trajectory - [[2308.08089](https://arxiv.org/abs/2308.08089)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08089.md)].
- Shortcut-V2V: Compression Framework for Video-to-Video Translation based   on Temporal Redundancy Reduction - [[2308.08011](https://arxiv.org/abs/2308.08011)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.08011.md)].
- Teach LLMs to Personalize -- An Approach inspired by Writing Education - [[2308.07968](https://arxiv.org/abs/2308.07968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07968.md)].
- CoDeF: Content Deformation Fields for Temporally Consistent Video   Processing - [[2308.07926](https://arxiv.org/abs/2308.07926)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07926.md)].
- RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder   Language Models - [[2308.07922](https://arxiv.org/abs/2308.07922)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07922.md)].
- Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with   Code-based Self-Verification - [[2308.07921](https://arxiv.org/abs/2308.07921)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07921.md)].
- Helping Hands: An Object-Aware Ego-Centric Video Recognition Model - [[2308.07918](https://arxiv.org/abs/2308.07918)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07918.md)].
- Relightable and Animatable Neural Avatar from Sparse-View Video - [[2308.07903](https://arxiv.org/abs/2308.07903)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07903.md)].
- Through the Lens of Core Competency: Survey on Evaluation of Large   Language Models - [[2308.07902](https://arxiv.org/abs/2308.07902)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07902.md)].
- Memory-and-Anticipation Transformer for Online Action Understanding - [[2308.07893](https://arxiv.org/abs/2308.07893)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07893.md)].
- Link-Context Learning for Multimodal LLMs - [[2308.07891](https://arxiv.org/abs/2308.07891)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07891.md)].
- ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces - [[2308.07868](https://arxiv.org/abs/2308.07868)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07868.md)].
- StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion   Models - [[2308.07863](https://arxiv.org/abs/2308.07863)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07863.md)].
- Robustness Over Time: Understanding Adversarial Examples' Effectiveness   on Longitudinal Versions of Large Language Models - [[2308.07847](https://arxiv.org/abs/2308.07847)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07847.md)].
- ImbSAM: A Closer Look at Sharpness-Aware Minimization in   Class-Imbalanced Recognition - [[2308.07815](https://arxiv.org/abs/2308.07815)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07815.md)].
- Learning to Identify Critical States for Reinforcement Learning from   Videos - [[2308.07795](https://arxiv.org/abs/2308.07795)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07795.md)].
- DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided   Speaker Embedding - [[2308.07787](https://arxiv.org/abs/2308.07787)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07787.md)].
- Identity-Consistent Aggregation for Video Object Detection - [[2308.07737](https://arxiv.org/abs/2308.07737)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07737.md)].
- UniTR: A Unified and Efficient Multi-Modal Transformer for   Bird's-Eye-View Representation - [[2308.07732](https://arxiv.org/abs/2308.07732)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07732.md)].
- DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using   Pre-trained Diffusion Models - [[2308.07687](https://arxiv.org/abs/2308.07687)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07687.md)].
- Boosting Multi-modal Model Performance with Adaptive Gradient Modulation - [[2308.07686](https://arxiv.org/abs/2308.07686)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07686.md)].
- Attention Is Not All You Need Anymore - [[2308.07661](https://arxiv.org/abs/2308.07661)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07661.md)].
- From Commit Message Generation to History-Aware Commit Message   Completion - [[2308.07655](https://arxiv.org/abs/2308.07655)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07655.md)].
- EQ-Net: Elastic Quantization Neural Networks - [[2308.07650](https://arxiv.org/abs/2308.07650)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07650.md)].
- Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval - [[2308.07648](https://arxiv.org/abs/2308.07648)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07648.md)].
- Backpropagation Path Search On Adversarial Transferability - [[2308.07625](https://arxiv.org/abs/2308.07625)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07625.md)].
- Story Visualization by Online Text Augmentation with Context Memory - [[2308.07575](https://arxiv.org/abs/2308.07575)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07575.md)].
- 3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D   Point Cloud Attack - [[2308.07546](https://arxiv.org/abs/2308.07546)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07546.md)].
- DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation - [[2308.07498](https://arxiv.org/abs/2308.07498)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07498.md)].
- Exploring the Intersection of Large Language Models and Agent-Based   Modeling via Prompt Engineering - [[2308.07411](https://arxiv.org/abs/2308.07411)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07411.md)].
- Text Injection for Capitalization and Turn-Taking Prediction in Speech   Models - [[2308.07395](https://arxiv.org/abs/2308.07395)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07395.md)].
- PARIS: Part-level Reconstruction and Motion Analysis for Articulated   Objects - [[2308.07391](https://arxiv.org/abs/2308.07391)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07391.md)].
- Platypus: Quick, Cheap, and Powerful Refinement of LLMs - [[2308.07317](https://arxiv.org/abs/2308.07317)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07317.md)].
- Jurassic World Remake: Bringing Ancient Fossils Back to Life via   Zero-Shot Long Image-to-Image Translation - [[2308.07316](https://arxiv.org/abs/2308.07316)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07316.md)].
- Group Pose: A Simple Baseline for End-to-End Multi-person Pose   Estimation - [[2308.07313](https://arxiv.org/abs/2308.07313)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07313.md)].
- The Devil is in the Errors: Leveraging Large Language Models for   Fine-grained Machine Translation Evaluation - [[2308.07286](https://arxiv.org/abs/2308.07286)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07286.md)].
- Context-Aware Planning and Environment-Aware Memory for Instruction   Following Embodied Agents - [[2308.07241](https://arxiv.org/abs/2308.07241)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07241.md)].
- RestoreFormer++: Towards Real-World Blind Face Restoration from   Undegraded Key-Value Pairs - [[2308.07228](https://arxiv.org/abs/2308.07228)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07228.md)].
- Unified Data-Free Compression: Pruning and Quantization without   Fine-Tuning - [[2308.07209](https://arxiv.org/abs/2308.07209)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07209.md)].
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate - [[2308.07201](https://arxiv.org/abs/2308.07201)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07201.md)].
- OctoPack: Instruction Tuning Code Large Language Models - [[2308.07124](https://arxiv.org/abs/2308.07124)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07124.md)].
- CTP: Towards Vision-Language Continual Pretraining via Compatible   Momentum Contrast and Topology Preservation - [[2308.07146](https://arxiv.org/abs/2308.07146)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07146.md)].
- Occ$^2$Net: Robust Image Matching Based on 3D Occupancy Estimation for   Occluded Regions - [[2308.16160](https://arxiv.org/abs/2308.16160)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.16160.md)].
- Mind your Language (Model): Fact-Checking LLMs and their Role in NLP   Research and Practice - [[2308.07120](https://arxiv.org/abs/2308.07120)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07120.md)].
- Large Language Models for Information Retrieval: A Survey - [[2308.07107](https://arxiv.org/abs/2308.07107)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07107.md)].
- Masked Motion Predictors are Strong 3D Action Representation Learners - [[2308.07092](https://arxiv.org/abs/2308.07092)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07092.md)].
- S3IM: Stochastic Structural SIMilarity and Its Unreasonable   Effectiveness for Neural Fields - [[2308.07032](https://arxiv.org/abs/2308.07032)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07032.md)].
- ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal   and Robust Vehicle Evasion - [[2308.07009](https://arxiv.org/abs/2308.07009)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07009.md)].
- Global Features are All You Need for Image Retrieval and Reranking - [[2308.06954](https://arxiv.org/abs/2308.06954)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06954.md)].
- Knowing Where to Focus: Event-aware Transformer for Video Grounding - [[2308.06947](https://arxiv.org/abs/2308.06947)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06947.md)].
- CBA: Improving Online Continual Learning via Continual Bias Adaptor - [[2308.06925](https://arxiv.org/abs/2308.06925)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06925.md)].
- CausalLM is not optimal for in-context learning - [[2308.06912](https://arxiv.org/abs/2308.06912)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06912.md)].
- Exploring Lightweight Hierarchical Vision Transformers for Efficient   Visual Tracking - [[2308.06904](https://arxiv.org/abs/2308.06904)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06904.md)].
- Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in   Entropy Minimization - [[2308.06879](https://arxiv.org/abs/2308.06879)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06879.md)].
- SpeechX: Neural Codec Language Model as a Versatile Speech Transformer - [[2308.06873](https://arxiv.org/abs/2308.06873)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06873.md)].
- RMP-Loss: Regularizing Membrane Potential Distribution for Spiking   Neural Networks - [[2308.06787](https://arxiv.org/abs/2308.06787)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06787.md)].
- Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning - [[2308.06777](https://arxiv.org/abs/2308.06777)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06777.md)].
- Unsupervised Image Denoising in Real-World Scenarios via   Self-Collaboration Parallel Generative Adversarial Branches - [[2308.06776](https://arxiv.org/abs/2308.06776)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06776.md)].
- Dual Meta-Learning with Longitudinally Generalized Regularization for   One-Shot Brain Tissue Segmentation Across the Human Lifespan - [[2308.06774](https://arxiv.org/abs/2308.06774)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06774.md)].
- AerialVLN: Vision-and-Language Navigation for UAVs - [[2308.06735](https://arxiv.org/abs/2308.06735)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06735.md)].
- IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image   Diffusion Models - [[2308.06721](https://arxiv.org/abs/2308.06721)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06721.md)].
- Compositional Feature Augmentation for Unbiased Scene Graph Generation - [[2308.06712](https://arxiv.org/abs/2308.06712)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06712.md)].
- Camouflaged Image Synthesis Is All You Need to Boost Camouflaged   Detection - [[2308.06701](https://arxiv.org/abs/2308.06701)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06701.md)].
- Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation - [[2308.06693](https://arxiv.org/abs/2308.06693)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06693.md)].
- Estimator Meets Equilibrium Perspective: A Rectified Straight Through   Estimator for Binary Neural Networks Training - [[2308.06689](https://arxiv.org/abs/2308.06689)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06689.md)].
- 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking - [[2308.06635](https://arxiv.org/abs/2308.06635)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06635.md)].
- VisIT-Bench: A Benchmark for Vision-Language Instruction Following   Inspired by Real-World Use - [[2308.06595](https://arxiv.org/abs/2308.06595)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06595.md)].
- Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh   Reconstruction - [[2308.06554](https://arxiv.org/abs/2308.06554)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06554.md)].
- Revisiting Vision Transformer from the View of Path Ensemble - [[2308.06548](https://arxiv.org/abs/2308.06548)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06548.md)].
- SegPrompt: Boosting Open-world Segmentation via Category-level Prompt   Learning - [[2308.06531](https://arxiv.org/abs/2308.06531)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06531.md)].
- BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain   Generalization of 3D Semantic Segmentation - [[2308.06530](https://arxiv.org/abs/2308.06530)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06530.md)].
- One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training - [[2308.07934](https://arxiv.org/abs/2308.07934)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07934.md)].
- Tiny and Efficient Model for the Edge Detection Generalization - [[2308.06468](https://arxiv.org/abs/2308.06468)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06468.md)].
- Multi-Label Knowledge Distillation - [[2308.06453](https://arxiv.org/abs/2308.06453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06453.md)].
- Detecting and Preventing Hallucinations in Large Vision Language Models - [[2308.06394](https://arxiv.org/abs/2308.06394)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06394.md)].
- U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point   Clouds - [[2308.06383](https://arxiv.org/abs/2308.06383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06383.md)].
- Enhancing Network Management Using Code Generated by Large Language   Models - [[2308.06261](https://arxiv.org/abs/2308.06261)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06261.md)].
- Self-Alignment with Instruction Backtranslation - [[2308.06259](https://arxiv.org/abs/2308.06259)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06259.md)].
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of   Explainable AI Methods - [[2308.06248](https://arxiv.org/abs/2308.06248)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06248.md)].
- Exploring Predicate Visual Context in Detecting of Human-Object   Interactions - [[2308.06202](https://arxiv.org/abs/2308.06202)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06202.md)].
- Improving Joint Speech-Text Representations Without Alignment - [[2308.06125](https://arxiv.org/abs/2308.06125)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06125.md)].
- Composable Function-preserving Expansions for Transformer Architectures - [[2308.06103](https://arxiv.org/abs/2308.06103)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06103.md)].
- Out-of-Distribution Detection for Monocular Depth Estimation - [[2308.06072](https://arxiv.org/abs/2308.06072)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06072.md)].
- Diverse Data Augmentation with Diffusions for Effective Test-time Prompt   Tuning - [[2308.06038](https://arxiv.org/abs/2308.06038)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06038.md)].
- Enhancing Generalization of Universal Adversarial Perturbation through   Gradient Aggregation - [[2308.06015](https://arxiv.org/abs/2308.06015)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.06015.md)].
- Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection - [[2308.05991](https://arxiv.org/abs/2308.05991)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05991.md)].
- TrajPAC: Towards Robustness Verification of Pedestrian Trajectory   Prediction Models - [[2308.05985](https://arxiv.org/abs/2308.05985)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05985.md)].
- BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents - [[2308.05960](https://arxiv.org/abs/2308.05960)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05960.md)].
- Generalizing Event-Based Motion Deblurring in Real-World Scenarios - [[2308.05932](https://arxiv.org/abs/2308.05932)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05932.md)].
- Collaborative Tracking Learning for Frame-Rate-Insensitive Multi-Object   Tracking - [[2308.05911](https://arxiv.org/abs/2308.05911)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05911.md)].
- PIPPA: A Partially Synthetic Conversational Dataset - [[2308.05884](https://arxiv.org/abs/2308.05884)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05884.md)].
- PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views   with Learnt Shape Programs - [[2308.05744](https://arxiv.org/abs/2308.05744)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05744.md)].
- Follow Anything: Open-set detection, tracking, and following in   real-time - [[2308.05737](https://arxiv.org/abs/2308.05737)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05737.md)].
- AudioLDM 2: Learning Holistic Audio Generation with Self-supervised   Pretraining - [[2308.05734](https://arxiv.org/abs/2308.05734)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05734.md)].
- FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models - [[2308.05733](https://arxiv.org/abs/2308.05733)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05733.md)].
- PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers - [[2308.05732](https://arxiv.org/abs/2308.05732)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05732.md)].
- Hard No-Box Adversarial Attack on Skeleton-Based Human Action   Recognition with Skeleton-Motion-Informed Gradient - [[2308.05681](https://arxiv.org/abs/2308.05681)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05681.md)].
- 2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration   between Images and Point Clouds - [[2308.05667](https://arxiv.org/abs/2308.05667)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05667.md)].
- Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative   Convolution Network - [[2308.05605](https://arxiv.org/abs/2308.05605)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05605.md)].
- Cross-Domain Product Representation Learning for Rich-Content E-Commerce - [[2308.05550](https://arxiv.org/abs/2308.05550)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05550.md)].
- Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation   for Panoramic Semantic Segmentation - [[2308.05493](https://arxiv.org/abs/2308.05493)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05493.md)].
- LLM As DBA - [[2308.05481](https://arxiv.org/abs/2308.05481)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05481.md)].
- Benchmarking Algorithmic Bias in Face Recognition: An Experimental   Approach Using Synthetic Faces and Human Evaluation - [[2308.05441](https://arxiv.org/abs/2308.05441)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05441.md)].
- Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints   Voting for Robust 6D Object Pose Estimation - [[2308.05438](https://arxiv.org/abs/2308.05438)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05438.md)].
- SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated,   Noisy, and Decimated Point Cloud Data - [[2308.05410](https://arxiv.org/abs/2308.05410)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05410.md)].
- Learning Gabor Texture Features for Fine-Grained Recognition - [[2308.05396](https://arxiv.org/abs/2308.05396)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05396.md)].
- Enhancing Trust in LLM-Based AI Automation Agents: New Considerations   and Future Challenges - [[2308.05391](https://arxiv.org/abs/2308.05391)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05391.md)].
- Interaction-aware Joint Attention Estimation Using People Attributes - [[2308.05382](https://arxiv.org/abs/2308.05382)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05382.md)].
- Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language   Models' Alignment - [[2308.05374](https://arxiv.org/abs/2308.05374)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05374.md)].
- Flexible Isosurface Extraction for Gradient-Based Mesh Optimization - [[2308.05371](https://arxiv.org/abs/2308.05371)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05371.md)].
- Pseudo-label Alignment for Semi-supervised Instance Segmentation - [[2308.05359](https://arxiv.org/abs/2308.05359)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05359.md)].
- OpenProteinSet: Training data for structural biology at scale - [[2308.05326](https://arxiv.org/abs/2308.05326)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05326.md)].
- RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End   Robust Estimation - [[2308.05318](https://arxiv.org/abs/2308.05318)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05318.md)].
- Alexa, play with robot: Introducing the First Alexa Prize SimBot   Challenge on Embodied AI - [[2308.05221](https://arxiv.org/abs/2308.05221)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05221.md)].
- LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image   Generation - [[2308.05095](https://arxiv.org/abs/2308.05095)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05095.md)].
- Feature Modulation Transformer: Cross-Refinement of Global   Representation via High-Frequency Prior for Image Super-Resolution - [[2308.05022](https://arxiv.org/abs/2308.05022)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05022.md)].
- Robust Object Modeling for Visual Tracking - [[2308.05140](https://arxiv.org/abs/2308.05140)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.05140.md)].
- IDiff-Face: Synthetic-based Face Recognition through Fizzy   Identity-Conditioned Diffusion Models - [[2308.04995](https://arxiv.org/abs/2308.04995)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04995.md)].
- Foreground Object Search by Distilling Composite Image Feature - [[2308.04990](https://arxiv.org/abs/2308.04990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04990.md)].
- Prototypical Kernel Learning and Open-set Foreground Perception for   Generalized Few-shot Semantic Segmentation - [[2308.04952](https://arxiv.org/abs/2308.04952)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04952.md)].
- SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation - [[2308.04946](https://arxiv.org/abs/2308.04946)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04946.md)].
- LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking - [[2308.04945](https://arxiv.org/abs/2308.04945)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04945.md)].
- Cross-view Semantic Alignment for Livestreaming Product Recognition - [[2308.04912](https://arxiv.org/abs/2308.04912)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04912.md)].
- MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner   for Open-World Semantic Segmentation - [[2308.04829](https://arxiv.org/abs/2308.04829)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04829.md)].
- WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields - [[2308.04826](https://arxiv.org/abs/2308.04826)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04826.md)].
- Joint-Relation Transformer for Multi-Person Motion Prediction - [[2308.04808](https://arxiv.org/abs/2308.04808)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04808.md)].
- PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised   RGB-D Point Cloud Registration - [[2308.04782](https://arxiv.org/abs/2308.04782)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04782.md)].
- Objects do not disappear: Video object detection by single-frame object   location anticipation - [[2308.04770](https://arxiv.org/abs/2308.04770)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04770.md)].
- Bird's-Eye-View Scene Graph for Vision-Language Navigation - [[2308.04758](https://arxiv.org/abs/2308.04758)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04758.md)].
- JEN-1: Text-Guided Universal Music Generation with Omnidirectional   Diffusion Models - [[2308.04729](https://arxiv.org/abs/2308.04729)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04729.md)].
- GIFD: A Generative Gradient Inversion Method with Feature Domain   Optimization - [[2308.04699](https://arxiv.org/abs/2308.04699)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04699.md)].
- Score Priors Guided Deep Variational Inference for Unsupervised   Real-World Single Image Denoising - [[2308.04682](https://arxiv.org/abs/2308.04682)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04682.md)].
- Accelerating LLM Inference with Staged Speculative Decoding - [[2308.04623](https://arxiv.org/abs/2308.04623)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04623.md)].
- Rendering Humans from Object-Occluded Monocular Videos - [[2308.04622](https://arxiv.org/abs/2308.04622)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04622.md)].
- Shepherd: A Critic for Language Model Generation - [[2308.04592](https://arxiv.org/abs/2308.04592)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04592.md)].
- LATR: 3D Lane Detection from Monocular Images with Transformer - [[2308.04583](https://arxiv.org/abs/2308.04583)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04583.md)].
- FocalFormer3D : Focusing on Hard Instance for 3D Object Detection - [[2308.04556](https://arxiv.org/abs/2308.04556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04556.md)].
- Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation - [[2308.04549](https://arxiv.org/abs/2308.04549)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04549.md)].
- SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore - [[2308.04430](https://arxiv.org/abs/2308.04430)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04430.md)].
- DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point   Clouds - [[2308.04383](https://arxiv.org/abs/2308.04383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04383.md)].
- Cumulative Reasoning with Large Language Models - [[2308.04371](https://arxiv.org/abs/2308.04371)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04371.md)].
- 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment - [[2308.04352](https://arxiv.org/abs/2308.04352)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04352.md)].
- A Comparative Study of Code Generation using ChatGPT 3.5 across 10   Programming Languages - [[2308.04477](https://arxiv.org/abs/2308.04477)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04477.md)].
- Lossy and Lossless (L$^2$) Post-training Model Size Compression - [[2308.04269](https://arxiv.org/abs/2308.04269)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04269.md)].
- FLIRT: Feedback Loop In-context Red Teaming - [[2308.04265](https://arxiv.org/abs/2308.04265)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04265.md)].
- Exploring Transformers for Open-world Instance Segmentation - [[2308.04206](https://arxiv.org/abs/2308.04206)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04206.md)].
- D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with   Glance Annotation - [[2308.04197](https://arxiv.org/abs/2308.04197)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04197.md)].
- Under-Display Camera Image Restoration with Scattering Effect - [[2308.04163](https://arxiv.org/abs/2308.04163)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04163.md)].
- EPCFormer: Expression Prompt Collaboration Transformer for Universal   Referring Video Object Segmentation - [[2308.04162](https://arxiv.org/abs/2308.04162)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04162.md)].
- Empowering Vision-Language Models to Follow Interleaved Vision-Language   Instructions - [[2308.04152](https://arxiv.org/abs/2308.04152)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04152.md)].
- OmniDataComposer: A Unified Data Structure for Multimodal Data Fusion   and Infinite Data Generation - [[2308.04126](https://arxiv.org/abs/2308.04126)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04126.md)].
- 3D Gaussian Splatting for Real-Time Radiance Field Rendering - [[2308.04079](https://arxiv.org/abs/2308.04079)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04079.md)].
- Enhancing Adversarial Robustness in Low-Label Regime via Adaptively   Weighted Regularization and Knowledge Distillation - [[2308.04061](https://arxiv.org/abs/2308.04061)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04061.md)].
- Gentopia: A Collaborative Platform for Tool-Augmented LLMs - [[2308.04030](https://arxiv.org/abs/2308.04030)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04030.md)].
- AgentSims: An Open-Source Sandbox for Large Language Model Evaluation - [[2308.04026](https://arxiv.org/abs/2308.04026)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04026.md)].
- Hierarchical Visual Primitive Experts for Compositional Zero-Shot   Learning - [[2308.04016](https://arxiv.org/abs/2308.04016)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04016.md)].
- Continual Pre-Training of Large Language Models: How to (re)warm your   model? - [[2308.04014](https://arxiv.org/abs/2308.04014)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04014.md)].
- Coarse-to-Fine: Learning Compact Discriminative Representation for   Single-Stage Image Retrieval - [[2308.04008](https://arxiv.org/abs/2308.04008)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.04008.md)].
- PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection - [[2308.03982](https://arxiv.org/abs/2308.03982)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03982.md)].
- Simple synthetic data reduces sycophancy in large language models - [[2308.03958](https://arxiv.org/abs/2308.03958)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03958.md)].
- TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal   Backdoored Models - [[2308.03906](https://arxiv.org/abs/2308.03906)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03906.md)].
- From Sky to the Ground: A Large-scale Benchmark and Simple Baseline   Towards Real Rain Removal - [[2308.03867](https://arxiv.org/abs/2308.03867)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03867.md)].
- 3D Motion Magnification: Visualizing Subtle Motions with Time Varying   Radiance Fields - [[2308.03757](https://arxiv.org/abs/2308.03757)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03757.md)].
- Tiny LVLM-eHub: Early Multimodal Experiments with Bard - [[2308.03729](https://arxiv.org/abs/2308.03729)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03729.md)].
- Scaling may be all you need for achieving human-level object recognition   capacity with human-like visual experience - [[2308.03712](https://arxiv.org/abs/2308.03712)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03712.md)].
- AgentBench: Evaluating LLMs as Agents - [[2308.03688](https://arxiv.org/abs/2308.03688)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03688.md)].
- Learning Concise and Descriptive Attributes for Visual Recognition - [[2308.03685](https://arxiv.org/abs/2308.03685)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03685.md)].
- AvatarVerse: High-quality &amp; Stable 3D Avatar Creation from Text and Pose - [[2308.03610](https://arxiv.org/abs/2308.03610)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03610.md)].
- FeatEnHancer: Enhancing Hierarchical Features for Object Detection and   Beyond Under Low-Light Vision - [[2308.03594](https://arxiv.org/abs/2308.03594)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03594.md)].
- AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning - [[2308.03526](https://arxiv.org/abs/2308.03526)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03526.md)].
- Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for   RAW Denoising - [[2308.03448](https://arxiv.org/abs/2308.03448)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03448.md)].
- TPTU: Task Planning and Tool Usage of Large Language Model-based AI   Agents - [[2308.03427](https://arxiv.org/abs/2308.03427)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03427.md)].
- RecycleGPT: An Autoregressive Language Model with Recyclable Module - [[2308.03421](https://arxiv.org/abs/2308.03421)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03421.md)].
- GaFET: Learning Geometry-aware Facial Expression Translation from   In-The-Wild Images - [[2308.03413](https://arxiv.org/abs/2308.03413)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03413.md)].
- Heterogeneous Forgetting Compensation for Class-Incremental Learning - [[2308.03374](https://arxiv.org/abs/2308.03374)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03374.md)].
- Dual Aggregation Transformer for Image Super-Resolution - [[2308.03364](https://arxiv.org/abs/2308.03364)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03364.md)].
- Foundation Model based Open Vocabulary Task Planning and Executive   System for General Purpose Service Robots - [[2308.03357](https://arxiv.org/abs/2308.03357)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03357.md)].
- SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering   Dataset for Scientific Graphs - [[2308.03349](https://arxiv.org/abs/2308.03349)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03349.md)].
- Part-Aware Transformer for Generalizable Person Re-identification - [[2308.03322](https://arxiv.org/abs/2308.03322)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03322.md)].
- Studying Large Language Model Generalization with Influence Functions - [[2308.03296](https://arxiv.org/abs/2308.03296)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03296.md)].
- SynJax: Structured Probability Distributions for JAX - [[2308.03291](https://arxiv.org/abs/2308.03291)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03291.md)].
- FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization   Search - [[2308.03290](https://arxiv.org/abs/2308.03290)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03290.md)].
- Multi-Label Self-Supervised Learning with Scene Images - [[2308.03286](https://arxiv.org/abs/2308.03286)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03286.md)].
- Environment-Invariant Curriculum Relation Learning for Fine-Grained   Scene Graph Generation - [[2308.03282](https://arxiv.org/abs/2308.03282)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03282.md)].
- Mirror-NeRF: Learning Neural Radiance Fields for Mirrors with   Whitted-Style Ray Tracing - [[2308.03280](https://arxiv.org/abs/2308.03280)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03280.md)].
- UniversalNER: Targeted Distillation from Large Language Models for Open   Named Entity Recognition - [[2308.03279](https://arxiv.org/abs/2308.03279)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03279.md)].
- A Benchmark for Chinese-English Scene Text Image Super-resolution - [[2308.03262](https://arxiv.org/abs/2308.03262)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03262.md)].
- Source-free Domain Adaptive Human Pose Estimation - [[2308.03202](https://arxiv.org/abs/2308.03202)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03202.md)].
- Building Safe and Reliable AI systems for Safety Critical Tasks with   Vision-Language Processing - [[2308.03176](https://arxiv.org/abs/2308.03176)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03176.md)].
- CGBA: Curvature-aware Geometric Black-box Attack - [[2308.03163](https://arxiv.org/abs/2308.03163)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03163.md)].
- Prototypes-oriented Transductive Few-shot Learning with Conditional   Transport - [[2308.03047](https://arxiv.org/abs/2308.03047)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03047.md)].
- Learning Fine-Grained Features for Pixel-wise Video Correspondences - [[2308.03040](https://arxiv.org/abs/2308.03040)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03040.md)].
- Pre-Trained Large Language Models for Industrial Control - [[2308.03028](https://arxiv.org/abs/2308.03028)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03028.md)].
- SAPIEN: Affective Virtual Agents Powered by Large Language Models - [[2308.03022](https://arxiv.org/abs/2308.03022)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03022.md)].
- Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image   Anomaly Detection - [[2308.02983](https://arxiv.org/abs/2308.02983)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02983.md)].
- An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial   Transferability - [[2308.02897](https://arxiv.org/abs/2308.02897)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02897.md)].
- Sketch and Text Guided Diffusion Model for Colored Point Cloud   Generation - [[2308.02874](https://arxiv.org/abs/2308.02874)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02874.md)].
- Learning Unified Decompositional and Compositional NeRF for Editable   Novel View Synthesis - [[2308.02840](https://arxiv.org/abs/2308.02840)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02840.md)].
- EduChat: A Large-Scale Language Model-based Chatbot System for   Intelligent Education - [[2308.02773](https://arxiv.org/abs/2308.02773)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02773.md)].
- DeDrift: Robust Similarity Search under Content Drift - [[2308.02752](https://arxiv.org/abs/2308.02752)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02752.md)].
- ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free   Domain Adaptation - [[2308.03793](https://arxiv.org/abs/2308.03793)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.03793.md)].
- MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities - [[2308.02490](https://arxiv.org/abs/2308.02490)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02490.md)].
- Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen   Convolutional CLIP - [[2308.02487](https://arxiv.org/abs/2308.02487)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02487.md)].
- Getting the Ball Rolling: Learning a Dexterous Policy for a Biomimetic   Tendon-Driven Hand with Rolling Contact Joints - [[2308.02453](https://arxiv.org/abs/2308.02453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02453.md)].
- Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation   from Text - [[2308.02357](https://arxiv.org/abs/2308.02357)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02357.md)].
- FB-BEV: BEV Representation from Forward-Backward View Transformations - [[2308.02236](https://arxiv.org/abs/2308.02236)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02236.md)].
- ESRL: Efficient Sampling-based Reinforcement Learning for Sequence   Generation - [[2308.02223](https://arxiv.org/abs/2308.02223)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02223.md)].
- Scaling Clinical Trial Matching Using Large Language Models: A Case   Study in Oncology - [[2308.02180](https://arxiv.org/abs/2308.02180)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02180.md)].
- Learning Referring Video Object Segmentation from Weak Annotation - [[2308.02162](https://arxiv.org/abs/2308.02162)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02162.md)].
- Retroformer: Retrospective Large Language Agents with Policy Gradient   Optimization - [[2308.02151](https://arxiv.org/abs/2308.02151)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02151.md)].
- Multi-interactive Feature Learning and a Full-time Multi-modality   Benchmark for Image Fusion and Segmentation - [[2308.02097](https://arxiv.org/abs/2308.02097)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02097.md)].
- The All-Seeing Project: Towards Panoptic Visual Recognition and   Understanding of the Open World - [[2308.01907](https://arxiv.org/abs/2308.01907)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01907.md)].
- DETR Doesn't Need Multi-Scale or Locality Design - [[2308.01904](https://arxiv.org/abs/2308.01904)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01904.md)].
- ConceptLab: Creative Generation using Diffusion Prior Constraints - [[2308.02669](https://arxiv.org/abs/2308.02669)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02669.md)].
- ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on   Class-level Code Generation - [[2308.01861](https://arxiv.org/abs/2308.01861)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01861.md)].
- Scaling Relationship on Learning Mathematical Reasoning with Large   Language Models - [[2308.01825](https://arxiv.org/abs/2308.01825)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01825.md)].
- RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic   and Regional Comprehension - [[2308.02299](https://arxiv.org/abs/2308.02299)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02299.md)].
- Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport - [[2308.01779](https://arxiv.org/abs/2308.01779)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01779.md)].
- Ambient Adventures: Teaching ChatGPT on Developing Complex Stories - [[2308.01734](https://arxiv.org/abs/2308.01734)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01734.md)].
- LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and   Semantic-Aware Alignment - [[2308.01686](https://arxiv.org/abs/2308.01686)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01686.md)].
- A Multidimensional Analysis of Social Biases in Vision Transformers - [[2308.01948](https://arxiv.org/abs/2308.01948)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01948.md)].
- InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent - [[2308.01552](https://arxiv.org/abs/2308.01552)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01552.md)].
- Get the Best of Both Worlds: Improving Accuracy and Transferability by   Grassmann Class Representation - [[2308.01547](https://arxiv.org/abs/2308.01547)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01547.md)].
- MusicLDM: Enhancing Novelty in Text-to-Music Generation Using   Beat-Synchronous Mixup Strategies - [[2308.01546](https://arxiv.org/abs/2308.01546)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01546.md)].
- Multimodal Neurons in Pretrained Text-Only Transformers - [[2308.01544](https://arxiv.org/abs/2308.01544)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01544.md)].
- TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality   Explorations - [[2308.01499](https://arxiv.org/abs/2308.01499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01499.md)].
- Target-point Attention Transformer: A novel trajectory predict network   for end-to-end autonomous driving - [[2308.1496](https://arxiv.org/abs/2308.1496)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1496.md)].
- Efficient neural supersampling on a novel gaming dataset - [[2308.01483](https://arxiv.org/abs/2308.01483)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01483.md)].
- HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose   Annotations, Affordances, and Reconstructions - [[2308.01477](https://arxiv.org/abs/2308.01477)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01477.md)].
- Training Data Protection with Compositional Diffusion Models - [[2308.01937](https://arxiv.org/abs/2308.01937)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01937.md)].
- VertexSerum: Poisoning Graph Neural Networks for Link Inference - [[2308.01469](https://arxiv.org/abs/2308.01469)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01469.md)].
- From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion - [[2308.02560](https://arxiv.org/abs/2308.02560)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02560.md)].
- On $κ$-solutions and canonical neighborhoods in 4d Ricci flow - [[2308.1448](https://arxiv.org/abs/2308.1448)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1448.md)].
- OpenFlamingo: An Open-Source Framework for Training Large Autoregressive   Vision-Language Models - [[2308.01390](https://arxiv.org/abs/2308.01390)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01390.md)].
- DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like   Models at All Scales - [[2308.01320](https://arxiv.org/abs/2308.01320)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01320.md)].
- Computational Long Exposure Mobile Photography - [[2308.01379](https://arxiv.org/abs/2308.01379)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01379.md)].
- More Context, Less Distraction: Visual Classification by Inferring and   Conditioning on Contextual Attributes - [[2308.01313](https://arxiv.org/abs/2308.01313)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01313.md)].
- Revisiting DETR Pre-training for Object Detection - [[2308.01300](https://arxiv.org/abs/2308.01300)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01300.md)].
- XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in   Large Language Models - [[2308.01263](https://arxiv.org/abs/2308.01263)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01263.md)].
- A Hyper-pixel-wise Contrastive Learning Augmented Segmentation Network   for Old Landslide Detection Using High-Resolution Remote Sensing Images and   Digital Elevation Model Data - [[2308.1251](https://arxiv.org/abs/2308.1251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1251.md)].
- Evaluating Instruction-Tuned Large Language Models on Code Comprehension   and Generation - [[2308.01240](https://arxiv.org/abs/2308.01240)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01240.md)].
- LSF-IDM: Automotive Intrusion Detection Model with Lightweight   Attribution and Semantic Fusion - [[2308.1237](https://arxiv.org/abs/2308.1237)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1237.md)].
- Grounded Image Text Matching with Mismatched Relation Reasoning - [[2308.01236](https://arxiv.org/abs/2308.01236)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01236.md)].
- Geometric wakes in collimators and step transitions of arbitrary   cross-sections: conformal mapping approach - [[2308.1235](https://arxiv.org/abs/2308.1235)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1235.md)].
- One Tree to Rule Them All: Poly-Logarithmic Universal Steiner Tree - [[2308.1199](https://arxiv.org/abs/2308.1199)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1199.md)].
- Improving Generalization in Visual Reinforcement Learning via   Conflict-aware Gradient Agreement Augmentation - [[2308.01194](https://arxiv.org/abs/2308.01194)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01194.md)].
- Towards Understanding the Capability of Large Language Models on Code   Clone Detection: A Survey - [[2308.01191](https://arxiv.org/abs/2308.01191)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01191.md)].
- Three-level Dicke quantum battery - [[2308.1188](https://arxiv.org/abs/2308.1188)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1188.md)].
- Multiobjective Optimization of Non-Smooth PDE-Constrained Problems - [[2308.1113](https://arxiv.org/abs/2308.1113)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1113.md)].
- Black hole thermodynamics in Horndeski theories - [[2308.1082](https://arxiv.org/abs/2308.1082)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1082.md)].
- MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain   Multi-Center Breast Cancer Screening - [[2308.1057](https://arxiv.org/abs/2308.1057)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1057.md)].
- Stability Analysis for a Class of Heterogeneous Catalysis Models - [[2308.1049](https://arxiv.org/abs/2308.1049)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1049.md)].
- Dynamic Token Pruning in Plain Vision Transformers for Semantic   Segmentation - [[2308.01045](https://arxiv.org/abs/2308.01045)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01045.md)].
- An improved infrastructure for the IceCube realtime system - [[2308.1031](https://arxiv.org/abs/2308.1031)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1031.md)].
- Model-agnostic search for the quasinormal modes of gravitational wave   echoes - [[2308.1017](https://arxiv.org/abs/2308.1017)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1017.md)].
- Enhancing Representation Learning for Periodic Time Series with Floss: A   Frequency Domain Regularization Approach - [[2308.1011](https://arxiv.org/abs/2308.1011)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.1011.md)].
- From Sparse to Soft Mixtures of Experts - [[2308.00951](https://arxiv.org/abs/2308.00951)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00951.md)].
- Cosmological Distance Measurement of 12 Nearby Supernovae IIP with   ROTSE-IIIB - [[2308.0916](https://arxiv.org/abs/2308.0916)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0916.md)].
- ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based   Image Manipulation - [[2308.00906](https://arxiv.org/abs/2308.00906)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00906.md)].
- VLUCI: Variational Learning of Unobserved Confounders for Counterfactual   Inference - [[2308.0904](https://arxiv.org/abs/2308.0904)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0904.md)].
- Weak localization in radiative transfer of acoustic waves in a   randomly-fluctuating slab - [[2308.0822](https://arxiv.org/abs/2308.0822)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0822.md)].
- Optimal design of plane elastic membranes using the convexified   Föppl's model - [[2308.0811](https://arxiv.org/abs/2308.0811)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0811.md)].
- Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body   Reconstruction - [[2308.00799](https://arxiv.org/abs/2308.00799)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00799.md)].
- LISA: Reasoning Segmentation via Large Language Model - [[2308.00692](https://arxiv.org/abs/2308.00692)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00692.md)].
- Tool Documentation Enables Zero-Shot Tool-Usage with Large Language   Models - [[2308.00675](https://arxiv.org/abs/2308.00675)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00675.md)].
- Note: Stokes-Einstein relation without hydrodynamic diameter in the   TIP4P/Ice water model - [[2308.0653](https://arxiv.org/abs/2308.0653)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0653.md)].
- ELFNet: Evidential Local-global Fusion for Stereo Matching - [[2308.00728](https://arxiv.org/abs/2308.00728)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00728.md)].
- Detecting Cloud Presence in Satellite Images Using the RGB-based CLIP   Vision-Language Model - [[2308.0541](https://arxiv.org/abs/2308.0541)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0541.md)].
- Understanding URDF: A Dataset and Analysis - [[2308.0514](https://arxiv.org/abs/2308.0514)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0514.md)].
- Stochastic Geometry Based Modeling and Analysis on Network NOMA in   Downlink CoMP Systems - [[2308.0499](https://arxiv.org/abs/2308.0499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0499.md)].
- A many-sorted epistemic logic for chromatic hypergraphs - [[2308.0477](https://arxiv.org/abs/2308.0477)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0477.md)].
- FLatten Transformer: Vision Transformer using Focused Linear Attention - [[2308.00442](https://arxiv.org/abs/2308.00442)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00442.md)].
- SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step   Reasoning - [[2308.00436](https://arxiv.org/abs/2308.00436)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00436.md)].
- DriveAdapter: Breaking the Coupling Barrier of Perception and Planning   in End-to-End Autonomous Driving - [[2308.00398](https://arxiv.org/abs/2308.00398)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00398.md)].
- Improving Generalization of Adversarial Training via Robust Critical   Fine-Tuning - [[2308.02533](https://arxiv.org/abs/2308.02533)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02533.md)].
- Deep Image Harmonization with Learnable Augmentation - [[2308.00376](https://arxiv.org/abs/2308.00376)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00376.md)].
- Deep Image Harmonization with Globally Guided Feature Transformation and   Relation Distillation - [[2308.00356](https://arxiv.org/abs/2308.00356)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00356.md)].
- MetaGPT: Meta Programming for Multi-Agent Collaborative Framework - [[2308.00352](https://arxiv.org/abs/2308.00352)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00352.md)].
- Artifact: Measuring and Mitigating Gaps in Structural Testing - [[2308.0316](https://arxiv.org/abs/2308.0316)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0316.md)].
- Skills-in-Context Prompting: Unlocking Compositionality in Large   Language Models - [[2308.00304](https://arxiv.org/abs/2308.00304)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00304.md)].
- Skills-in-Context Prompting: Unlocking Compositionality in Large   Language Models - [[2308.0304](https://arxiv.org/abs/2308.0304)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0304.md)].
- Online Prototype Learning for Online Continual Learning - [[2308.00301](https://arxiv.org/abs/2308.00301)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00301.md)].
- CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability   in Visual Clustering - [[2308.0284](https://arxiv.org/abs/2308.0284)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0284.md)].
- Improving Pixel-based MIM by Reducing Wasted Modeling Capability - [[2308.00261](https://arxiv.org/abs/2308.00261)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00261.md)].
- GOALS-JWST: Gas Dynamics and Excitation in NGC7469 revealed by NIRSpec - [[2308.0209](https://arxiv.org/abs/2308.0209)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0209.md)].

### July 2023
- Predicting masked tokens in stochastic locations improves masked image   modeling - [[2308.00566](https://arxiv.org/abs/2308.00566)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00566.md)].
- Learning to Model the World with Language - [[2308.01399](https://arxiv.org/abs/2308.01399)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.01399.md)].
- Discovering Adaptable Symbolic Algorithms from Scratch - [[2307.16890](https://arxiv.org/abs/2307.16890)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16890.md)].
- Virtual Prompt Injection for Instruction-Tuned Large Language Models - [[2307.16888](https://arxiv.org/abs/2307.16888)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16888.md)].
- Shortcut Partitions in Minor-Free Graphs: Steiner Point Removal,   Distance Oracles, Tree Covers, and More - [[2308.0555](https://arxiv.org/abs/2308.0555)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.0555.md)].
- Revisiting the Parameter Efficiency of Adapters from the Perspective of   Precision Redundancy - [[2307.16867](https://arxiv.org/abs/2307.16867)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16867.md)].
- Random Sub-Samples Generation for Self-Supervised Real Image Denoising - [[2307.16825](https://arxiv.org/abs/2307.16825)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16825.md)].
- ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world   APIs - [[2307.16789](https://arxiv.org/abs/2307.16789)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16789.md)].
- UniVTG: Towards Unified Video-Language Temporal Grounding - [[2307.16715](https://arxiv.org/abs/2307.16715)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16715.md)].
- DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose   Estimation - [[2307.16687](https://arxiv.org/abs/2307.16687)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16687.md)].
- Guiding Image Captioning Models Toward More Specific Captions - [[2307.16686](https://arxiv.org/abs/2307.16686)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16686.md)].
- Graph Structure from Point Clouds: Geometric Attention is All You Need - [[2307.16662](https://arxiv.org/abs/2307.16662)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16662.md)].
- CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image   Classification - [[2307.16634](https://arxiv.org/abs/2307.16634)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16634.md)].
- FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level   Gradient Calibration - [[2307.16617](https://arxiv.org/abs/2307.16617)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16617.md)].
- Transferable Decoding with Visual Entities for Zero-Shot Image   Captioning - [[2307.16525](https://arxiv.org/abs/2307.16525)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16525.md)].
- Towards General Low-Light Raw Noise Synthesis and Modeling - [[2307.16508](https://arxiv.org/abs/2307.16508)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16508.md)].
- MovieChat: From Dense Token to Sparse Memory for Long Video   Understanding - [[2307.16449](https://arxiv.org/abs/2307.16449)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16449.md)].
- DRAW: Defending Camera-shooted RAW against Image Manipulation - [[2307.16418](https://arxiv.org/abs/2307.16418)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16418.md)].
- DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised   Temporal Action Localization - [[2307.16415](https://arxiv.org/abs/2307.16415)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16415.md)].
- Bridging the Gap: Exploring the Capabilities of Bridge-Architectures for   Complex Visual Reasoning Tasks - [[2307.16395](https://arxiv.org/abs/2307.16395)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16395.md)].
- JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human   Mesh Recovery - [[2307.16377](https://arxiv.org/abs/2307.16377)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16377.md)].
- LP-MusicCaps: LLM-Based Pseudo Music Captioning - [[2307.16372](https://arxiv.org/abs/2307.16372)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16372.md)].
- AntGPT: Can Large Language Models Help Long-term Action Anticipation   from Videos? - [[2307.16368](https://arxiv.org/abs/2307.16368)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16368.md)].
- Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks   for Defending Adversarial Examples - [[2307.16361](https://arxiv.org/abs/2307.16361)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16361.md)].
- Evaluating ChatGPT and GPT-4 for Visual Programming - [[2308.02522](https://arxiv.org/abs/2308.02522)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02522.md)].
- Unified Model for Image, Video, Audio and Language Tasks - [[2307.16184](https://arxiv.org/abs/2307.16184)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16184.md)].
- Do LLMs Possess a Personality? Making the MBTI Test an Amazing   Evaluation for Large Language Models - [[2307.16180](https://arxiv.org/abs/2307.16180)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16180.md)].
- SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension - [[2307.16125](https://arxiv.org/abs/2307.16125)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.16125.md)].
- Separate Scene Text Detector for Unseen Scripts is Not All You Need - [[2307.15991](https://arxiv.org/abs/2307.15991)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15991.md)].
- XMem++: Production-level Video Segmentation From Few Annotated Frames - [[2307.15958](https://arxiv.org/abs/2307.15958)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15958.md)].
- CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic   Segmentation - [[2307.15942](https://arxiv.org/abs/2307.15942)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15942.md)].
- What can Discriminator do? Towards Box-free Ownership Verification of   Generative Adversarial Network - [[2307.15860](https://arxiv.org/abs/2307.15860)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15860.md)].
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic   Control - [[2307.15818](https://arxiv.org/abs/2307.15818)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15818.md)].
- The Hydra Effect: Emergent Self-repair in Language Model Computations - [[2307.15771](https://arxiv.org/abs/2307.15771)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15771.md)].
- MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking - [[2307.15700](https://arxiv.org/abs/2307.15700)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15700.md)].
- Scaling Data Generation in Vision-and-Language Navigation - [[2307.15644](https://arxiv.org/abs/2307.15644)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15644.md)].
- Robust Distortion-free Watermarks for Language Models - [[2307.15593](https://arxiv.org/abs/2307.15593)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15593.md)].
- Beating Backdoor Attack at Its Own Game - [[2307.15539](https://arxiv.org/abs/2307.15539)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15539.md)].
- Exploring Format Consistency for Instruction Tuning - [[2307.15504](https://arxiv.org/abs/2307.15504)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15504.md)].
- FeedbackLogs: Recording and Incorporating Stakeholder Feedback into   Machine Learning Pipelines - [[2307.15475](https://arxiv.org/abs/2307.15475)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15475.md)].
- Is One Epoch All You Need For Multi-Fidelity Hyperparameter   Optimization? - [[2307.15422](https://arxiv.org/abs/2307.15422)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15422.md)].
- Uncertainty-aware Unsupervised Multi-Object Tracking - [[2307.15409](https://arxiv.org/abs/2307.15409)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15409.md)].
- Supervised Homography Learning with Realistic Dataset Generation - [[2307.15353](https://arxiv.org/abs/2307.15353)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15353.md)].
- Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding - [[2307.15337](https://arxiv.org/abs/2307.15337)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15337.md)].
- Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF - [[2307.15333](https://arxiv.org/abs/2307.15333)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15333.md)].
- TaskExpert: Dynamically Assembling Multi-Task Representations with   Memorial Mixture-of-Experts - [[2307.15324](https://arxiv.org/abs/2307.15324)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15324.md)].
- Multiple Instance Learning Framework with Masked Hard Instance Mining   for Whole Slide Image Classification - [[2307.15254](https://arxiv.org/abs/2307.15254)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15254.md)].
- Open Problems and Fundamental Limitations of Reinforcement Learning from   Human Feedback - [[2307.15217](https://arxiv.org/abs/2307.15217)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15217.md)].
- PromptStyler: Prompt-driven Style Generation for Source-free Domain   Generalization - [[2307.15199](https://arxiv.org/abs/2307.15199)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15199.md)].
- Med-Flamingo: a Multimodal Medical Few-shot Learner - [[2307.15189](https://arxiv.org/abs/2307.15189)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15189.md)].
- Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields - [[2307.15131](https://arxiv.org/abs/2307.15131)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15131.md)].
- To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation - [[2307.15063](https://arxiv.org/abs/2307.15063)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15063.md)].
- Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation - [[2308.07931](https://arxiv.org/abs/2308.07931)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.07931.md)].
- Learning Depth Estimation for Transparent and Mirror Surfaces - [[2307.15052](https://arxiv.org/abs/2307.15052)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15052.md)].
- Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained   Vision-Language Models - [[2307.15049](https://arxiv.org/abs/2307.15049)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15049.md)].
- Universal and Transferable Adversarial Attacks on Aligned Language   Models - [[2307.15043](https://arxiv.org/abs/2307.15043)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15043.md)].
- TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis - [[2307.15042](https://arxiv.org/abs/2307.15042)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15042.md)].
- Diverse Inpainting and Editing with GAN Inversion - [[2307.15033](https://arxiv.org/abs/2307.15033)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15033.md)].
- SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark - [[2307.15020](https://arxiv.org/abs/2307.15020)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15020.md)].
- How Good is Google Bard's Visual Understanding? An Empirical Study on   Open Challenges - [[2307.15016](https://arxiv.org/abs/2307.15016)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15016.md)].
- Scaling TransNormer to 175 Billion Parameters - [[2307.14995](https://arxiv.org/abs/2307.14995)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14995.md)].
- S$^3$: Social-network Simulation System with Large Language   Model-Empowered Agents - [[2307.14984](https://arxiv.org/abs/2307.14984)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14984.md)].
- Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models - [[2307.14971](https://arxiv.org/abs/2307.14971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14971.md)].
- PanGu-Coder2: Boosting Large Language Models for Code with Ranking   Feedback - [[2307.14936](https://arxiv.org/abs/2307.14936)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14936.md)].
- Seeing through the Brain: Image Reconstruction of Visual Perception from   Human Brain Signals - [[2308.02510](https://arxiv.org/abs/2308.02510)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.02510.md)].
- Towards Deeply Unified Depth-aware Panoptic Segmentation with   Bi-directional Guidance Learning - [[2307.14786](https://arxiv.org/abs/2307.14786)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14786.md)].
- Gloss-free Sign Language Translation: Improving from Visual-Language   Pretraining - [[2307.14768](https://arxiv.org/abs/2307.14768)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14768.md)].
- Test Time Adaptation for Blind Image Quality Assessment - [[2307.14735](https://arxiv.org/abs/2307.14735)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14735.md)].
- P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds - [[2307.14726](https://arxiv.org/abs/2307.14726)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14726.md)].
- Pre-training Vision Transformers with Very Limited Synthesized Images - [[2307.14710](https://arxiv.org/abs/2307.14710)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14710.md)].
- Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via   Optimization Trajectory Distillation - [[2307.14709](https://arxiv.org/abs/2307.14709)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14709.md)].
- 360VOT: A New Benchmark Dataset for Omnidirectional Visual Object   Tracking - [[2307.14630](https://arxiv.org/abs/2307.14630)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14630.md)].
- NeRF-Det: Learning Geometry-Aware Volumetric Representation for   Multi-View 3D Object Detection - [[2307.14620](https://arxiv.org/abs/2307.14620)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14620.md)].
- TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation - [[2307.14611](https://arxiv.org/abs/2307.14611)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14611.md)].
- Clustering based Point Cloud Representation Learning for 3D Analysis - [[2307.14605](https://arxiv.org/abs/2307.14605)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14605.md)].
- Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition - [[2307.14535](https://arxiv.org/abs/2307.14535)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14535.md)].
- MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation - [[2307.14460](https://arxiv.org/abs/2307.14460)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14460.md)].
- Three Bricks to Consolidate Watermarks for Large Language Models - [[2308.00113](https://arxiv.org/abs/2308.00113)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2308.00113.md)].
- MAMo: Leveraging Memory and Attention for Monocular Video Depth   Estimation - [[2307.14336](https://arxiv.org/abs/2307.14336)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14336.md)].
- WavJourney: Compositional Audio Creation with Large Language Models - [[2307.14335](https://arxiv.org/abs/2307.14335)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14335.md)].
- Towards Generalist Biomedical AI - [[2307.14334](https://arxiv.org/abs/2307.14334)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14334.md)].
- G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and   Game Theory - [[2307.14277](https://arxiv.org/abs/2307.14277)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14277.md)].
- Large Language Models are Competitive Near Cold-start Recommenders for   Language- and Item-based Preferences - [[2307.14225](https://arxiv.org/abs/2307.14225)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14225.md)].
- ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation - [[2307.14187](https://arxiv.org/abs/2307.14187)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14187.md)].
- Creative Birds: Self-Supervised Single-View 3D Style Transfer - [[2307.14127](https://arxiv.org/abs/2307.14127)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14127.md)].
- Leveraging Implicit Feedback from Deployment Data in Dialogue - [[2307.14117](https://arxiv.org/abs/2307.14117)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14117.md)].
- Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo   Matching - [[2307.14071](https://arxiv.org/abs/2307.14071)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14071.md)].
- Set-level Guidance Attack: Boosting Adversarial Transferability of   Vision-Language Pre-training Models - [[2307.14061](https://arxiv.org/abs/2307.14061)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14061.md)].
- 3D Semantic Subspace Traverser: Empowering 3D Generative Model with   Shape Editing Capability - [[2307.14051](https://arxiv.org/abs/2307.14051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14051.md)].
- Controllable Guide-Space for Generalizable Face Forgery Detection - [[2307.14039](https://arxiv.org/abs/2307.14039)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14039.md)].
- Adaptive Frequency Filters As Efficient Global Token Mixers - [[2307.14008](https://arxiv.org/abs/2307.14008)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14008.md)].
- Tracking Anything in High Quality - [[2307.13974](https://arxiv.org/abs/2307.13974)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13974.md)].
- AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for   Assistive Driving Perception - [[2307.13933](https://arxiv.org/abs/2307.13933)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13933.md)].
- Spatio-Temporal Domain Awareness for Multi-Agent Collaborative   Perception - [[2307.13929](https://arxiv.org/abs/2307.13929)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13929.md)].
- trajdata: A Unified Interface to Multiple Human Trajectory Datasets - [[2307.13924](https://arxiv.org/abs/2307.13924)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13924.md)].
- Points-to-3D: Bridging the Gap between Sparse Points and   Shape-Controllable Text-to-3D Generation - [[2307.13908](https://arxiv.org/abs/2307.13908)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13908.md)].
- WebArena: A Realistic Web Environment for Building Autonomous Agents - [[2307.13854](https://arxiv.org/abs/2307.13854)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13854.md)].
- How to Scale Your EMA - [[2307.13813](https://arxiv.org/abs/2307.13813)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13813.md)].
- E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning - [[2307.13770](https://arxiv.org/abs/2307.13770)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13770.md)].
- PlaneRecTR: Unified Query Learning for 3D Plane Recovery from a Single   View - [[2307.13756](https://arxiv.org/abs/2307.13756)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13756.md)].
- Foundational Models Defining a New Era in Vision: A Survey and Outlook - [[2307.13721](https://arxiv.org/abs/2307.13721)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13721.md)].
- Composite Diffusion | whole &gt;= Σparts - [[2307.13720](https://arxiv.org/abs/2307.13720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13720.md)].
- ARB: Advanced Reasoning Benchmark for Large Language Models - [[2307.13692](https://arxiv.org/abs/2307.13692)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13692.md)].
- RecursiveDet: End-to-End Region-based Recursive Object Detection - [[2307.13619](https://arxiv.org/abs/2307.13619)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13619.md)].
- Model Calibration in Dense Classification with Adaptive Label   Perturbation - [[2307.13539](https://arxiv.org/abs/2307.13539)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13539.md)].
- Spectrum-guided Multi-granularity Referring Video Object Segmentation - [[2307.13537](https://arxiv.org/abs/2307.13537)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13537.md)].
- Re-mine, Learn and Reason: Exploring the Cross-modal Semantic   Correlations for Language-guided HOI detection - [[2307.13529](https://arxiv.org/abs/2307.13529)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13529.md)].
- FacTool: Factuality Detection in Generative AI -- A Tool Augmented   Framework for Multi-Task and Multi-Domain Scenarios - [[2307.13528](https://arxiv.org/abs/2307.13528)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13528.md)].
- Weakly-supervised 3D Pose Transfer with Keypoints - [[2307.13459](https://arxiv.org/abs/2307.13459)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13459.md)].
- Predicting Code Coverage without Execution - [[2307.13383](https://arxiv.org/abs/2307.13383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13383.md)].
- Unmasking Anomalies in Road-Scene Segmentation - [[2307.13316](https://arxiv.org/abs/2307.13316)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13316.md)].
- LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA   Composition - [[2307.13269](https://arxiv.org/abs/2307.13269)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13269.md)].
- Conditional Cross Attention Network for Multi-Space Embedding without   Entanglement in Only a SINGLE Network - [[2307.13254](https://arxiv.org/abs/2307.13254)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13254.md)].
- GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using   Gaussian Processes as Pseudo Labelers - [[2307.13251](https://arxiv.org/abs/2307.13251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13251.md)].
- Strivec: Sparse Tri-Vector Radiance Fields - [[2307.13226](https://arxiv.org/abs/2307.13226)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13226.md)].
- GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for   Task-Oriented Grasping - [[2307.13204](https://arxiv.org/abs/2307.13204)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13204.md)].
- Contrastive Example-Based Control - [[2307.13101](https://arxiv.org/abs/2307.13101)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13101.md)].
- LLM-Rec: Personalized Recommendation via Prompting Large Language Models - [[2307.15780](https://arxiv.org/abs/2307.15780)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.15780.md)].
- 3D-LLM: Injecting the 3D World into Large Language Models - [[2307.12981](https://arxiv.org/abs/2307.12981)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12981.md)].
- A Systematic Survey of Prompt Engineering on Vision-Language Foundation   Models - [[2307.12980](https://arxiv.org/abs/2307.12980)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12980.md)].
- Evaluating the Ripple Effects of Knowledge Editing in Language Models - [[2307.12976](https://arxiv.org/abs/2307.12976)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12976.md)].
- DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting - [[2307.12972](https://arxiv.org/abs/2307.12972)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12972.md)].
- Aligning Large Language Models with Human: A Survey - [[2307.12966](https://arxiv.org/abs/2307.12966)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12966.md)].
- RLCD: Reinforcement Learning from Contrast Distillation for Language   Model Alignment - [[2307.12950](https://arxiv.org/abs/2307.12950)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12950.md)].
- GridMM: Grid Memory Map for Vision-and-Language Navigation - [[2307.12907](https://arxiv.org/abs/2307.12907)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12907.md)].
- A Real-World WebAgent with Planning, Long Context Understanding, and   Program Synthesis - [[2307.12856](https://arxiv.org/abs/2307.12856)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12856.md)].
- Multiscale Video Pretraining for Long-Term Activity Forecasting - [[2307.12854](https://arxiv.org/abs/2307.12854)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12854.md)].
- Fast Full-frame Video Stabilization with Iterative Optimization - [[2307.12774](https://arxiv.org/abs/2307.12774)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12774.md)].
- COCO-O: A Benchmark for Object Detectors under Natural Distribution   Shifts - [[2307.12730](https://arxiv.org/abs/2307.12730)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12730.md)].
- Persistent-Transient Duality: A Multi-mechanism Approach for Modeling   Human-Object Interaction - [[2307.12729](https://arxiv.org/abs/2307.12729)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12729.md)].
- MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised   Learning of Motion and Content Features - [[2307.12698](https://arxiv.org/abs/2307.12698)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12698.md)].
- PG-RCNN: Semantic Surface Point Generation for 3D Object Detection - [[2307.12637](https://arxiv.org/abs/2307.12637)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12637.md)].
- CTVIS: Consistent Training for Online Video Instance Segmentation - [[2307.12616](https://arxiv.org/abs/2307.12616)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12616.md)].
- Less is More: Focus Attention for Efficient DETR - [[2307.12612](https://arxiv.org/abs/2307.12612)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12612.md)].
- PRIOR: Prototype Representation Joint Learning from Medical Images and   Reports - [[2307.12577](https://arxiv.org/abs/2307.12577)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12577.md)].
- A Good Student is Cooperative and Reliable: CNN-Transformer   Collaborative Learning for Semantic Segmentation - [[2307.12574](https://arxiv.org/abs/2307.12574)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12574.md)].
- Interpolating between Images with Diffusion Models - [[2307.12560](https://arxiv.org/abs/2307.12560)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12560.md)].
- PUMA: Secure Inference of LLaMA-7B in Five Minutes - [[2307.12533](https://arxiv.org/abs/2307.12533)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12533.md)].
- Cross Contrasting Feature Perturbation for Domain Generalization - [[2307.12502](https://arxiv.org/abs/2307.12502)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12502.md)].
- TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition - [[2307.12493](https://arxiv.org/abs/2307.12493)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12493.md)].
- Rethinking Data Distillation: Do Not Overlook Calibration - [[2307.12463](https://arxiv.org/abs/2307.12463)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12463.md)].
- ProtoFL: Unsupervised Federated Learning via Prototypical Distillation - [[2307.12450](https://arxiv.org/abs/2307.12450)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12450.md)].
- Augmented Box Replay: Overcoming Foreground Shift for Incremental Object   Detection - [[2307.12427](https://arxiv.org/abs/2307.12427)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12427.md)].
- Testing Hateful Speeches against Policies - [[2307.12418](https://arxiv.org/abs/2307.12418)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12418.md)].
- Learning Navigational Visual Representations with Semantic Map   Supervision - [[2307.12335](https://arxiv.org/abs/2307.12335)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12335.md)].
- TransHuman: A Transformer-based Human Representation for Generalizable   Neural Human Rendering - [[2307.12291](https://arxiv.org/abs/2307.12291)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12291.md)].
- Downstream-agnostic Adversarial Examples - [[2307.12280](https://arxiv.org/abs/2307.12280)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12280.md)].
- Geometry-Aware Adaptation for Pretrained Models - [[2307.12226](https://arxiv.org/abs/2307.12226)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12226.md)].
- LoLep: Single-View View Synthesis with Locally-Learned Planes and   Self-Attention Occlusion Inference - [[2307.12217](https://arxiv.org/abs/2307.12217)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12217.md)].
- LIST: Learning Implicitly from Spatial Transformers for Single-View 3D   Reconstruction - [[2307.12194](https://arxiv.org/abs/2307.12194)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12194.md)].
- Optimized Network Architectures for Large Language Model Training with   Billions of Parameters - [[2307.12169](https://arxiv.org/abs/2307.12169)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12169.md)].
- Hallucination Improves the Performance of Unsupervised Visual   Representation Learning - [[2307.12168](https://arxiv.org/abs/2307.12168)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12168.md)].
- DIP-RL: Demonstration-Inferred Preference Learning in Minecraft - [[2307.12158](https://arxiv.org/abs/2307.12158)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12158.md)].
- Spatial Self-Distillation for Object Detection with Inaccurate Bounding   Boxes - [[2307.12101](https://arxiv.org/abs/2307.12101)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12101.md)].
- Discovering Spatio-Temporal Rationales for Video Question Answering - [[2307.12058](https://arxiv.org/abs/2307.12058)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12058.md)].
- On the Effectiveness of Spectral Discriminators for Perceptual Quality   Improvement - [[2307.12027](https://arxiv.org/abs/2307.12027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.12027.md)].
- Learning Vision-and-Language Navigation from YouTube Videos - [[2307.11984](https://arxiv.org/abs/2307.11984)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11984.md)].
- Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? - [[2307.11978](https://arxiv.org/abs/2307.11978)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11978.md)].
- CARTIER: Cartographic lAnguage Reasoning Targeted at Instruction   Execution for Robots - [[2307.11865](https://arxiv.org/abs/2307.11865)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11865.md)].
- HybridAugment++: Unified Frequency Spectra Perturbations for Model   Robustness - [[2307.11823](https://arxiv.org/abs/2307.11823)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11823.md)].
- Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts - [[2307.11661](https://arxiv.org/abs/2307.11661)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11661.md)].
- OxfordTVG-HIC: Can Machine Make Humorous Captions from Images? - [[2307.11636](https://arxiv.org/abs/2307.11636)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11636.md)].
- Bridging Vision and Language Encoders: Parameter-Efficient Tuning for   Referring Image Segmentation - [[2307.11545](https://arxiv.org/abs/2307.11545)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11545.md)].
- CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields - [[2307.11526](https://arxiv.org/abs/2307.11526)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11526.md)].
- CORE: Cooperative Reconstruction for Multi-Agent Perception - [[2307.11514](https://arxiv.org/abs/2307.11514)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11514.md)].
- SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view   3D Object Detection - [[2307.11477](https://arxiv.org/abs/2307.11477)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11477.md)].
- Distribution Shift Matters for Knowledge Distillation with Webly   Collected Images - [[2307.11469](https://arxiv.org/abs/2307.11469)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11469.md)].
- Strip-MLP: Efficient Token Interaction for Vision MLP - [[2307.11458](https://arxiv.org/abs/2307.11458)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11458.md)].
- Prompting Large Language Models with Speech Recognition Abilities - [[2307.11795](https://arxiv.org/abs/2307.11795)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11795.md)].
- FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural   Radiance Fields - [[2307.11418](https://arxiv.org/abs/2307.11418)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11418.md)].
- Deep Directly-Trained Spiking Neural Networks for Object Detection - [[2307.11411](https://arxiv.org/abs/2307.11411)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11411.md)].
- Subject-Diffusion:Open Domain Personalized Text-to-Image Generation   without Test-time Fine-tuning - [[2307.11410](https://arxiv.org/abs/2307.11410)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11410.md)].
- Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for   Occluded Facial Expression Recognition - [[2307.11404](https://arxiv.org/abs/2307.11404)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11404.md)].
- CLR: Channel-wise Lightweight Reprogramming for Continual Learning - [[2307.11386](https://arxiv.org/abs/2307.11386)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11386.md)].
- What can a Single Attention Layer Learn? A Study Through the Random   Features Lens - [[2307.11353](https://arxiv.org/abs/2307.11353)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11353.md)].
- Tuning Pre-trained Model via Moment Probing - [[2307.11342](https://arxiv.org/abs/2307.11342)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11342.md)].
- Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural   Radiance Fields - [[2307.11335](https://arxiv.org/abs/2307.11335)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11335.md)].
- DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport - [[2307.11308](https://arxiv.org/abs/2307.11308)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11308.md)].
- PourIt!: Weakly-supervised Liquid Perception from a Single Image for   Visual Closed-Loop Robotic Pouring - [[2307.11299](https://arxiv.org/abs/2307.11299)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11299.md)].
- MAS: Towards Resource-Efficient Federated Multiple-Task Learning - [[2307.11285](https://arxiv.org/abs/2307.11285)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11285.md)].
- Brain2Music: Reconstructing Music from Human Brain Activity - [[2307.11078](https://arxiv.org/abs/2307.11078)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11078.md)].
- AlignDet: Aligning Pre-training and Fine-tuning in Object Detection - [[2307.11077](https://arxiv.org/abs/2307.11077)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11077.md)].
- Cascade-DETR: Delving into High-Quality Universal Object Detection - [[2307.11035](https://arxiv.org/abs/2307.11035)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11035.md)].
- General Image-to-Image Translation with One-Shot Image Guidance - [[2307.14352](https://arxiv.org/abs/2307.14352)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.14352.md)].
- Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image - [[2307.10984](https://arxiv.org/abs/2307.10984)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10984.md)].
- Improving Online Lane Graph Extraction by Object-Lane Clustering - [[2307.10947](https://arxiv.org/abs/2307.10947)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10947.md)].
- Proxy Anchor-based Unsupervised Learning for Continuous Generalized   Category Discovery - [[2307.10943](https://arxiv.org/abs/2307.10943)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10943.md)].
- PASTA: Pretrained Action-State Transformer Agents - [[2307.10936](https://arxiv.org/abs/2307.10936)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10936.md)].
- FLASK: Fine-grained Language Model Evaluation based on Alignment Skill   Sets - [[2307.10928](https://arxiv.org/abs/2307.10928)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10928.md)].
- Diffusion Sampling with Momentum for Mitigating Divergence Artifacts - [[2307.11118](https://arxiv.org/abs/2307.11118)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11118.md)].
- The Role of Entropy and Reconstruction in Multi-View Self-Supervised   Learning - [[2307.10907](https://arxiv.org/abs/2307.10907)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10907.md)].
- BlendFace: Re-designing Identity Encoders for Face-Swapping - [[2307.10854](https://arxiv.org/abs/2307.10854)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10854.md)].
- BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained   Diffusion - [[2307.10816](https://arxiv.org/abs/2307.10816)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10816.md)].
- Meta-Transformer: A Unified Framework for Multimodal Learning - [[2307.10802](https://arxiv.org/abs/2307.10802)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10802.md)].
- HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and   Retarget Faces - [[2307.10797](https://arxiv.org/abs/2307.10797)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10797.md)].
- See More and Know More: Zero-shot Point Cloud Segmentation via   Multi-modal Visual Data - [[2307.10782](https://arxiv.org/abs/2307.10782)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10782.md)].
- Urban Radiance Field Representation with Deformable Neural Mesh   Primitives - [[2307.10776](https://arxiv.org/abs/2307.10776)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10776.md)].
- Kick Back &amp; Relax: Learning to Reconstruct the World by Watching SlowTV - [[2307.10713](https://arxiv.org/abs/2307.10713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10713.md)].
- Lighting up NeRF via Unsupervised Decomposition and Enhancement - [[2307.10664](https://arxiv.org/abs/2307.10664)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10664.md)].
- SciBench: Evaluating College-Level Scientific Problem-Solving Abilities   of Large Language Models - [[2307.10635](https://arxiv.org/abs/2307.10635)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10635.md)].
- Physics-Driven Turbulence Image Restoration with Stochastic Refinement - [[2307.10603](https://arxiv.org/abs/2307.10603)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10603.md)].
- Flatness-Aware Minimization for Domain Generalization - [[2307.11108](https://arxiv.org/abs/2307.11108)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11108.md)].
- Instruction-following Evaluation through Verbalizer Manipulation - [[2307.10558](https://arxiv.org/abs/2307.10558)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10558.md)].
- EMQ: Evolving Training-free Proxies for Automated Mixed Precision   Quantization - [[2307.10554](https://arxiv.org/abs/2307.10554)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10554.md)].
- TokenFlow: Consistent Diffusion Features for Consistent Video Editing - [[2307.10373](https://arxiv.org/abs/2307.10373)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10373.md)].
- DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity   Human-centric Rendering - [[2307.10173](https://arxiv.org/abs/2307.10173)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10173.md)].
- DialogStudio: Towards Richest and Most Diverse Unified Dataset   Collection for Conversational AI - [[2307.10172](https://arxiv.org/abs/2307.10172)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10172.md)].
- Challenges and Applications of Large Language Models - [[2307.10169](https://arxiv.org/abs/2307.10169)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10169.md)].
- LLMs as Workers in Human-Computational Algorithms? Replicating   Crowdsourcing Pipelines with LLMs - [[2307.10168](https://arxiv.org/abs/2307.10168)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10168.md)].
- Improving Multimodal Datasets with Image Captioning - [[2307.10350](https://arxiv.org/abs/2307.10350)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10350.md)].
- FABRIC: Personalizing Diffusion Models with Iterative Feedback - [[2307.10159](https://arxiv.org/abs/2307.10159)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10159.md)].
- Android in the Wild: A Large-Scale Dataset for Android Device Control - [[2307.10088](https://arxiv.org/abs/2307.10088)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10088.md)].
- Unsupervised Accuracy Estimation of Deep Visual Models using   Domain-Adaptive Adversarial Perturbation without Source Samples - [[2307.10062](https://arxiv.org/abs/2307.10062)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10062.md)].
- MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions - [[2307.10008](https://arxiv.org/abs/2307.10008)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10008.md)].
- Hierarchical Spatio-Temporal Representation Learning for Gait   Recognition - [[2307.09856](https://arxiv.org/abs/2307.09856)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09856.md)].
- What do neural networks learn in image classification? A frequency   shortcut perspective - [[2307.09829](https://arxiv.org/abs/2307.09829)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09829.md)].
- Density-invariant Features for Distant Point Cloud Registration - [[2307.09788](https://arxiv.org/abs/2307.09788)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09788.md)].
- Text2Layer: Layered Image Generation using Latent Diffusion Model - [[2307.09781](https://arxiv.org/abs/2307.09781)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09781.md)].
- Towards Building More Robust Models with Frequency Bias - [[2307.09763](https://arxiv.org/abs/2307.09763)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09763.md)].
- Generative Prompt Model for Weakly Supervised Object Localization - [[2307.09756](https://arxiv.org/abs/2307.09756)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09756.md)].
- Space Engage: Collaborative Space Supervision for Contrastive-based   Semi-Supervised Semantic Segmentation - [[2307.09755](https://arxiv.org/abs/2307.09755)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09755.md)].
- CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud   Semantic Segmentation - [[2307.10316](https://arxiv.org/abs/2307.10316)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10316.md)].
- AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks - [[2307.09724](https://arxiv.org/abs/2307.09724)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09724.md)].
- Towards Saner Deep Image Registration - [[2307.09696](https://arxiv.org/abs/2307.09696)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09696.md)].
- GlobalMapper: Arbitrary-Shaped Urban Layout Generation - [[2307.09693](https://arxiv.org/abs/2307.09693)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09693.md)].
- Towards A Unified Agent with Foundation Models - [[2307.09668](https://arxiv.org/abs/2307.09668)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09668.md)].
- Object-aware Gaze Target Detection - [[2307.09662](https://arxiv.org/abs/2307.09662)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09662.md)].
- Promoting Exploration in Memory-Augmented Adam using Critical Momenta - [[2307.09638](https://arxiv.org/abs/2307.09638)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09638.md)].
- Conditional 360-degree Image Synthesis for Immersive Indoor Scene   Decoration - [[2307.09621](https://arxiv.org/abs/2307.09621)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09621.md)].
- ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring   Instruction Tuning - [[2307.09474](https://arxiv.org/abs/2307.09474)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09474.md)].
- Does Circuit Analysis Interpretability Scale? Evidence from Multiple   Choice Capabilities in Chinchilla - [[2307.09458](https://arxiv.org/abs/2307.09458)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09458.md)].
- OnlineRefer: A Simple Online Baseline for Referring Video Object   Segmentation - [[2307.09356](https://arxiv.org/abs/2307.09356)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09356.md)].
- Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking   Portrait Synthesis - [[2307.09323](https://arxiv.org/abs/2307.09323)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09323.md)].
- Biomaker CA: a Biome Maker project using Cellular Automata - [[2307.09320](https://arxiv.org/abs/2307.09320)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09320.md)].
- EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory   Forecasting - [[2307.09306](https://arxiv.org/abs/2307.09306)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09306.md)].
- Llama 2: Open Foundation and Fine-Tuned Chat Models - [[2307.09288](https://arxiv.org/abs/2307.09288)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09288.md)].
- Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly   Supervised 3D Visual Grounding - [[2307.09267](https://arxiv.org/abs/2307.09267)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09267.md)].
- Augmenting CLIP with Improved Visio-Linguistic Reasoning - [[2307.09233](https://arxiv.org/abs/2307.09233)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09233.md)].
- NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and   Repulsive UDF - [[2307.09112](https://arxiv.org/abs/2307.09112)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09112.md)].
- LA-Net: Landmark-Aware Learning for Reliable Facial Expression   Recognition under Label Noise - [[2307.09023](https://arxiv.org/abs/2307.09023)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09023.md)].
- How is ChatGPT's behavior changing over time? - [[2307.09009](https://arxiv.org/abs/2307.09009)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09009.md)].
- Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction - [[2307.09004](https://arxiv.org/abs/2307.09004)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.09004.md)].
- Towards Authentic Face Restoration with Iterative Diffusion Models and   Beyond - [[2307.08996](https://arxiv.org/abs/2307.08996)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08996.md)].
- Local or Global: Selective Knowledge Assimilation for Federated Learning   with Limited Labels - [[2307.08809](https://arxiv.org/abs/2307.08809)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08809.md)].
- Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation - [[2307.08779](https://arxiv.org/abs/2307.08779)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08779.md)].
- GEAR: Augmenting Language Models with Generalizable and Efficient Tool   Resolution - [[2307.08775](https://arxiv.org/abs/2307.08775)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08775.md)].
- Diffusion Models Beat GANs on Image Classification - [[2307.08702](https://arxiv.org/abs/2307.08702)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08702.md)].
- AlpaGasus: Training A Better Alpaca with Fewer Data - [[2307.08701](https://arxiv.org/abs/2307.08701)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08701.md)].
- Neural Video Depth Stabilizer - [[2307.08695](https://arxiv.org/abs/2307.08695)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08695.md)].
- TableGPT: Towards Unifying Tables, Nature Language and Commands into One   GPT - [[2307.08674](https://arxiv.org/abs/2307.08674)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08674.md)].
- Retentive Network: A Successor to Transformer for Large Language Models - [[2307.08621](https://arxiv.org/abs/2307.08621)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08621.md)].
- BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs - [[2307.08581](https://arxiv.org/abs/2307.08581)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08581.md)].
- Scale-Aware Modulation Meet Transformer - [[2307.08579](https://arxiv.org/abs/2307.08579)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08579.md)].
- Does Visual Pretraining Help End-to-End Reasoning? - [[2307.08506](https://arxiv.org/abs/2307.08506)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08506.md)].
- BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up   Patch Summarization - [[2307.08504](https://arxiv.org/abs/2307.08504)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08504.md)].
- Cumulative Spatial Knowledge Distillation for Vision Transformers - [[2307.08500](https://arxiv.org/abs/2307.08500)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08500.md)].
- Differentiable Transportation Pruning - [[2307.08483](https://arxiv.org/abs/2307.08483)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08483.md)].
- SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence   Pre-training - [[2307.08476](https://arxiv.org/abs/2307.08476)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08476.md)].
- Not All Steps are Created Equal: Selective Diffusion Distillation for   Image Manipulation - [[2307.08448](https://arxiv.org/abs/2307.08448)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08448.md)].
- DOT: A Distillation-Oriented Trainer - [[2307.08436](https://arxiv.org/abs/2307.08436)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08436.md)].
- On the application of Large Language Models for language teaching and   assessment technology - [[2307.08393](https://arxiv.org/abs/2307.08393)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08393.md)].
- Dynamic Snake Convolution based on Topological Geometric Constraints for   Tubular Structure Segmentation - [[2307.08388](https://arxiv.org/abs/2307.08388)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08388.md)].
- Self-supervised Monocular Depth Estimation: Let's Talk About The Weather - [[2307.08357](https://arxiv.org/abs/2307.08357)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08357.md)].
- ShiftNAS: Improving One-shot NAS via Probability Shift - [[2307.08300](https://arxiv.org/abs/2307.08300)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08300.md)].
- Random Boxes Are Open-world Object Detectors - [[2307.08249](https://arxiv.org/abs/2307.08249)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08249.md)].
- Towards Self-Assembling Artificial Neural Networks through Neural   Developmental Programs - [[2307.08197](https://arxiv.org/abs/2307.08197)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08197.md)].
- Measuring Faithfulness in Chain-of-Thought Reasoning - [[2307.13702](https://arxiv.org/abs/2307.13702)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.13702.md)].
- Question Decomposition Improves the Faithfulness of Model-Generated   Reasoning - [[2307.11768](https://arxiv.org/abs/2307.11768)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.11768.md)].
- Feedback is All You Need: Real-World Reinforcement Learning with   Approximate Physics-Based Models - [[2307.08168](https://arxiv.org/abs/2307.08168)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08168.md)].
- Planting a SEED of Vision in Large Language Model - [[2307.08041](https://arxiv.org/abs/2307.08041)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08041.md)].
- Multi-Object Discovery by Low-Dimensional Object Motion - [[2307.08027](https://arxiv.org/abs/2307.08027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08027.md)].
- Householder Projector for Unsupervised Latent Semantics Discovery - [[2307.08012](https://arxiv.org/abs/2307.08012)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.08012.md)].
- Towards Viewpoint-Invariant Visual Recognition via Adversarial Training - [[2307.10235](https://arxiv.org/abs/2307.10235)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.10235.md)].
- Language Conditioned Traffic Generation - [[2307.07947](https://arxiv.org/abs/2307.07947)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07947.md)].
- Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and   Class-balanced Pseudo-Labeling - [[2307.07944](https://arxiv.org/abs/2307.07944)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07944.md)].
- CVSformer: Cross-View Synthesis Transformer for Semantic Scene   Completion - [[2307.07938](https://arxiv.org/abs/2307.07938)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07938.md)].
- Communicative Agents for Software Development - [[2307.07924](https://arxiv.org/abs/2307.07924)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07924.md)].
- Is Imitation All You Need? Generalized Decision-Making with Dual-Phase   Training - [[2307.07909](https://arxiv.org/abs/2307.07909)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07909.md)].
- Handwritten and Printed Text Segmentation: A Signature Case Study - [[2307.07887](https://arxiv.org/abs/2307.07887)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07887.md)].
- Unified Adversarial Patch for Cross-modal Attacks in the Physical World - [[2307.07859](https://arxiv.org/abs/2307.07859)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07859.md)].
- Adaptive Nonlinear Latent Transformation for Conditional Face Editing - [[2307.07790](https://arxiv.org/abs/2307.07790)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07790.md)].
- Bidirectionally Deformable Motion Modulation For Video-based Human Pose   Transfer - [[2307.07754](https://arxiv.org/abs/2307.07754)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07754.md)].
- INVE: Interactive Neural Video Editing - [[2307.07663](https://arxiv.org/abs/2307.07663)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07663.md)].
- RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical   World - [[2307.07653](https://arxiv.org/abs/2307.07653)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07653.md)].
- CoTracker: It is Better to Track Together - [[2307.07635](https://arxiv.org/abs/2307.07635)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07635.md)].
- NIFTY: Neural Object Interaction Fields for Guided Human Motion   Synthesis - [[2307.07511](https://arxiv.org/abs/2307.07511)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07511.md)].
- DreamTeacher: Pretraining Image Backbones with Deep Generative Models - [[2307.07487](https://arxiv.org/abs/2307.07487)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07487.md)].
- Multimodal Distillation for Egocentric Action Recognition - [[2307.07483](https://arxiv.org/abs/2307.07483)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07483.md)].
- Improving Zero-Shot Generalization for CLIP with Synthesized Prompts - [[2307.07397](https://arxiv.org/abs/2307.07397)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07397.md)].
- Mitigating Adversarial Vulnerability through Causal Parameter Estimation   by Adversarial Double Machine Learning - [[2307.07250](https://arxiv.org/abs/2307.07250)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07250.md)].
- FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for   Curvilinear Object Segmentation - [[2307.07245](https://arxiv.org/abs/2307.07245)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07245.md)].
- Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech   Prompts - [[2307.07218](https://arxiv.org/abs/2307.07218)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07218.md)].
- Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video   Anomaly Detection - [[2307.07205](https://arxiv.org/abs/2307.07205)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07205.md)].
- Learning to Retrieve In-Context Examples for Large Language Models - [[2307.07164](https://arxiv.org/abs/2307.07164)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07164.md)].
- Bootstrapping Vision-Language Learning with Decoupled Language   Pre-training - [[2307.07063](https://arxiv.org/abs/2307.07063)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07063.md)].
- DIALGEN: Collaborative Human-LM Generated Dialogues for Improved   Understanding of Human-Human Conversations - [[2307.07047](https://arxiv.org/abs/2307.07047)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.07047.md)].
- HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image   Models - [[2307.06949](https://arxiv.org/abs/2307.06949)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06949.md)].
- In-context Autoencoder for Context Compression in a Large Language Model - [[2307.06945](https://arxiv.org/abs/2307.06945)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06945.md)].
- InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding   and Generation - [[2307.06942](https://arxiv.org/abs/2307.06942)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06942.md)].
- Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation - [[2307.06940](https://arxiv.org/abs/2307.06940)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06940.md)].
- mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs - [[2307.06930](https://arxiv.org/abs/2307.06930)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06930.md)].
- Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image   Models - [[2307.06925](https://arxiv.org/abs/2307.06925)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06925.md)].
- Generating Benchmarks for Factuality Evaluation of Language Models - [[2307.06908](https://arxiv.org/abs/2307.06908)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06908.md)].
- Copy Is All You Need - [[2307.06962](https://arxiv.org/abs/2307.06962)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06962.md)].
- Assessing the Ability of ChatGPT to Screen Articles for Systematic   Reviews - [[2307.06464](https://arxiv.org/abs/2307.06464)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06464.md)].
- Distilling Large Language Models for Biomedical Knowledge Extraction: A   Case Study on Adverse Drug Events - [[2307.06439](https://arxiv.org/abs/2307.06439)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06439.md)].
- T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional   Text-to-image Generation - [[2307.06350](https://arxiv.org/abs/2307.06350)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06350.md)].
- Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and   Resolution - [[2307.06304](https://arxiv.org/abs/2307.06304)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06304.md)].
- Instruction Mining: High-Quality Instruction Data Selection for Large   Language Models - [[2307.06290](https://arxiv.org/abs/2307.06290)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06290.md)].
- MMBench: Is Your Multi-modal Model an All-around Player? - [[2307.06281](https://arxiv.org/abs/2307.06281)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06281.md)].
- SayPlan: Grounding Large Language Models using 3D Scene Graphs for   Scalable Task Planning - [[2307.06135](https://arxiv.org/abs/2307.06135)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06135.md)].
- VELMA: Verbalization Embodiment of LLM Agents for Vision and Language   Navigation in Street View - [[2307.06082](https://arxiv.org/abs/2307.06082)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06082.md)].
- PolyLM: An Open Source Polyglot Large Language Model - [[2307.06018](https://arxiv.org/abs/2307.06018)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06018.md)].
- VoxPoser: Composable 3D Value Maps for Robotic Manipulation with   Language Models - [[2307.05973](https://arxiv.org/abs/2307.05973)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05973.md)].
- Giving Robots a Hand: Learning Generalizable Manipulation with   Eye-in-Hand Human Video Demonstrations - [[2307.05959](https://arxiv.org/abs/2307.05959)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05959.md)].
- GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human   Pose Estimation from Monocular Video - [[2307.05853](https://arxiv.org/abs/2307.05853)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05853.md)].
- Towards Robust and Efficient Continual Language Learning - [[2307.05741](https://arxiv.org/abs/2307.05741)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05741.md)].
- Stack More Layers Differently: High-Rank Training Through Low-Rank   Updates - [[2307.05695](https://arxiv.org/abs/2307.05695)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05695.md)].
- Differentiable Blocks World: Qualitative 3D Decomposition by Rendering   Primitives - [[2307.05473](https://arxiv.org/abs/2307.05473)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05473.md)].
- Self-consistency for open-ended generations - [[2307.06857](https://arxiv.org/abs/2307.06857)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.06857.md)].
- EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the   Backbone - [[2307.05463](https://arxiv.org/abs/2307.05463)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05463.md)].
- Efficient 3D Articulated Human Generation with Layered Surface Volumes - [[2307.05462](https://arxiv.org/abs/2307.05462)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05462.md)].
- Empowering Cross-lingual Behavioral Testing of NLP Models with   Typological Features - [[2307.05454](https://arxiv.org/abs/2307.05454)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05454.md)].
- Self-Supervised Learning with Lie Symmetries for Partial Differential   Equations - [[2307.05432](https://arxiv.org/abs/2307.05432)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05432.md)].
- Unleashing Cognitive Synergy in Large Language Models: A Task-Solving   Agent through Multi-Persona Self-Collaboration - [[2307.05300](https://arxiv.org/abs/2307.05300)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05300.md)].
- Generative Pretraining in Multimodality - [[2307.05222](https://arxiv.org/abs/2307.05222)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05222.md)].
- DNAGPT: A Generalized Pre-trained Tool for Versatile DNA Sequence   Analysis Tasks - [[2307.05628](https://arxiv.org/abs/2307.05628)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05628.md)].
- Test-Time Training on Video Streams - [[2307.05014](https://arxiv.org/abs/2307.05014)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05014.md)].
- Monotone deep Boltzmann machines - [[2307.04990](https://arxiv.org/abs/2307.04990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04990.md)].
- Secrets of RLHF in Large Language Models Part I: PPO - [[2307.04964](https://arxiv.org/abs/2307.04964)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04964.md)].
- Semantic-SAM: Segment and Recognize Anything at Any Granularity - [[2307.04767](https://arxiv.org/abs/2307.04767)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04767.md)].
- SITTA: A Semantic Image-Text Alignment for Image Captioning - [[2307.05591](https://arxiv.org/abs/2307.05591)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05591.md)].
- Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal   Rearrangement - [[2307.04751](https://arxiv.org/abs/2307.04751)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04751.md)].
- RoCo: Dialectic Multi-Robot Collaboration with Large Language Models - [[2307.04738](https://arxiv.org/abs/2307.04738)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04738.md)].
- AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models   without Specific Tuning - [[2307.04725](https://arxiv.org/abs/2307.04725)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04725.md)].
- Large Language Models as General Pattern Machines - [[2307.04721](https://arxiv.org/abs/2307.04721)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04721.md)].
- International Institutions for Advanced AI - [[2307.04699](https://arxiv.org/abs/2307.04699)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04699.md)].
- VampNet: Music Generation via Masked Acoustic Token Modeling - [[2307.04686](https://arxiv.org/abs/2307.04686)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04686.md)].
- AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation   System - [[2307.04577](https://arxiv.org/abs/2307.04577)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04577.md)].
- Improving Factuality of Abstractive Summarization via Contrastive Reward   Learning - [[2307.04507](https://arxiv.org/abs/2307.04507)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04507.md)].
- RLTF: Reinforcement Learning from Unit Test Feedback - [[2307.04349](https://arxiv.org/abs/2307.04349)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04349.md)].
- Convex Decomposition of Indoor Scenes - [[2307.04246](https://arxiv.org/abs/2307.04246)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04246.md)].
- Parametric Depth Based Feature Representation Learning for Object   Detection and Segmentation in Bird's Eye View - [[2307.04106](https://arxiv.org/abs/2307.04106)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04106.md)].
- SVIT: Scaling up Visual Instruction Tuning - [[2307.04087](https://arxiv.org/abs/2307.04087)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04087.md)].
- Toward Interactive Dictation - [[2307.04008](https://arxiv.org/abs/2307.04008)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04008.md)].
- On decoder-only architecture for speech-to-text and large language model   integration - [[2307.03917](https://arxiv.org/abs/2307.03917)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03917.md)].
- Large Language Models for Supply Chain Optimization - [[2307.03875](https://arxiv.org/abs/2307.03875)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03875.md)].
- Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation - [[2307.03869](https://arxiv.org/abs/2307.03869)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03869.md)].
- AutoDecoding Latent 3D Diffusion Models - [[2307.05445](https://arxiv.org/abs/2307.05445)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.05445.md)].
- Equivariant Single View Pose Prediction Via Induced and Restricted   Representations - [[2307.03704](https://arxiv.org/abs/2307.03704)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03704.md)].
- Decomposing the Generalization Gap in Imitation Learning for Visual   Robotic Manipulation - [[2307.03659](https://arxiv.org/abs/2307.03659)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03659.md)].
- GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest - [[2307.03601](https://arxiv.org/abs/2307.03601)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03601.md)].
- One Step of Gradient Descent is Provably the Optimal In-Context Learner   with One Layer of Linear Self-Attention - [[2307.03576](https://arxiv.org/abs/2307.03576)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03576.md)].
- Discovering Hierarchical Achievements in Reinforcement Learning via   Contrastive Learning - [[2307.03486](https://arxiv.org/abs/2307.03486)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03486.md)].
- Solvent: A Framework for Protein Folding - [[2307.04603](https://arxiv.org/abs/2307.04603)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04603.md)].
- Goal-Conditioned Predictive Coding as an Implicit Planner for Offline   Reinforcement Learning - [[2307.03406](https://arxiv.org/abs/2307.03406)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03406.md)].
- Teaching Arithmetic to Small Transformers - [[2307.03381](https://arxiv.org/abs/2307.03381)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03381.md)].
- BiPhone: Modeling Inter Language Phonetic Influences in Text - [[2307.03322](https://arxiv.org/abs/2307.03322)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03322.md)].
- Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong   General Audio Event Taggers - [[2307.03183](https://arxiv.org/abs/2307.03183)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03183.md)].
- Lost in the Middle: How Language Models Use Long Contexts - [[2307.03172](https://arxiv.org/abs/2307.03172)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03172.md)].
- Focused Transformer: Contrastive Training for Context Scaling - [[2307.03170](https://arxiv.org/abs/2307.03170)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03170.md)].
- VideoGLUE: Video General Understanding Evaluation of Foundation Models - [[2307.03166](https://arxiv.org/abs/2307.03166)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03166.md)].
- Distilling Large Vision-Language Model with Out-of-Distribution   Generalizability - [[2307.03135](https://arxiv.org/abs/2307.03135)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03135.md)].
- Frontier AI Regulation: Managing Emerging Risks to Public Safety - [[2307.03718](https://arxiv.org/abs/2307.03718)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03718.md)].
- A Survey on Evaluation of Large Language Models - [[2307.03109](https://arxiv.org/abs/2307.03109)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03109.md)].
- Improving Retrieval-Augmented Large Language Models via Data Importance   Learning - [[2307.03027](https://arxiv.org/abs/2307.03027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03027.md)].
- Style Over Substance: Evaluation Biases for Large Language Models - [[2307.03025](https://arxiv.org/abs/2307.03025)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03025.md)].
- Contrast Is All You Need - [[2307.02882](https://arxiv.org/abs/2307.02882)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02882.md)].
- What Should Data Science Education Do with Large Language Models? - [[2307.02792](https://arxiv.org/abs/2307.02792)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02792.md)].
- Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts - [[2307.02768](https://arxiv.org/abs/2307.02768)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02768.md)].
- Wireless Multi-Agent Generative AI: From Connected Intelligence to   Collective Intelligence - [[2307.02757](https://arxiv.org/abs/2307.02757)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02757.md)].
- SkipDecode: Autoregressive Skip Decoding with Batching and Caching for   Efficient LLM Inference - [[2307.02628](https://arxiv.org/abs/2307.02628)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02628.md)].
- LongNet: Scaling Transformers to 1,000,000,000 Tokens - [[2307.02486](https://arxiv.org/abs/2307.02486)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02486.md)].
- Building Cooperative Embodied Agents Modularly with Large Language   Models - [[2307.02485](https://arxiv.org/abs/2307.02485)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02485.md)].
- Elastic Decision Transformer - [[2307.02484](https://arxiv.org/abs/2307.02484)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02484.md)].
- Jailbroken: How Does LLM Safety Training Fail? - [[2307.02483](https://arxiv.org/abs/2307.02483)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02483.md)].
- Reasoning or Reciting? Exploring the Capabilities and Limitations of   Language Models Through Counterfactual Tasks - [[2307.02477](https://arxiv.org/abs/2307.02477)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02477.md)].
- What Matters in Training a GPT4-Style Language Model with Multimodal   Inputs? - [[2307.02469](https://arxiv.org/abs/2307.02469)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02469.md)].
- Using Rewrite Strategies for Efficient Functional Automatic   Differentiation - [[2307.02447](https://arxiv.org/abs/2307.02447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02447.md)].
- DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models - [[2307.02421](https://arxiv.org/abs/2307.02421)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02421.md)].
- MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers - [[2307.02321](https://arxiv.org/abs/2307.02321)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02321.md)].
- Rethinking Multiple Instance Learning for Whole Slide Image   Classification: A Good Instance Classifier is All You Need - [[2307.02249](https://arxiv.org/abs/2307.02249)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02249.md)].
- Open-Source Large Language Models Outperform Crowd Workers and Approach   ChatGPT in Text-Annotation Tasks - [[2307.02179](https://arxiv.org/abs/2307.02179)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02179.md)].
- Becoming self-instruct: introducing early stopping criteria for minimal   instruct tuning - [[2307.03692](https://arxiv.org/abs/2307.03692)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.03692.md)].
- Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN   Fine-Tuning - [[2307.02053](https://arxiv.org/abs/2307.02053)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02053.md)].
- SDXL: Improving Latent Diffusion Models for High-Resolution Image   Synthesis - [[2307.01952](https://arxiv.org/abs/2307.01952)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01952.md)].
- Physics-based Motion Retargeting from Sparse Inputs - [[2307.01938](https://arxiv.org/abs/2307.01938)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01938.md)].
- Robots That Ask For Help: Uncertainty Alignment for Large Language Model   Planners - [[2307.01928](https://arxiv.org/abs/2307.01928)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01928.md)].
- Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via   Self-supervised Learning - [[2307.01849](https://arxiv.org/abs/2307.01849)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01849.md)].
- Embodied Task Planning with Large Language Models - [[2307.01848](https://arxiv.org/abs/2307.01848)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01848.md)].
- Collaborative Score Distillation for Consistent Visual Synthesis - [[2307.04787](https://arxiv.org/abs/2307.04787)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.04787.md)].
- DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation - [[2307.01831](https://arxiv.org/abs/2307.01831)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01831.md)].
- Pretraining is All You Need: A Multi-Atlas Enhanced Transformer   Framework for Autism Spectrum Disorder Classification - [[2307.01759](https://arxiv.org/abs/2307.01759)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01759.md)].
- Synthetic is all you need: removing the auxiliary data assumption for   membership inference attacks against synthetic data - [[2307.01701](https://arxiv.org/abs/2307.01701)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01701.md)].
- mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document   Understanding - [[2307.02499](https://arxiv.org/abs/2307.02499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.02499.md)].
- ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour - [[2307.01630](https://arxiv.org/abs/2307.01630)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01630.md)].
- On Hofstadter's G-sequence - [[2307.1471](https://arxiv.org/abs/2307.1471)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.1471.md)].
- Hybrid two-level MCMC for Bayesian Inverse Problems - [[2307.1463](https://arxiv.org/abs/2307.1463)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.1463.md)].
- Practical Collaborative Perception: A Framework for Asynchronous and   Multi-Agent 3D Object Detection - [[2307.1462](https://arxiv.org/abs/2307.1462)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.1462.md)].
- Multi-Task Learning Improves Performance In Deep Argument Mining Models - [[2307.1401](https://arxiv.org/abs/2307.1401)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.1401.md)].
- EIGER IV: The cool 10$^4$K circumgalactic environment of high-$z$   galaxies reveals remarkably efficient IGM enrichment - [[2307.1273](https://arxiv.org/abs/2307.1273)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.1273.md)].
- Real-time Monocular Full-body Capture in World Space via Sequential   Proxy-to-Motion Learning - [[2307.01200](https://arxiv.org/abs/2307.01200)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01200.md)].
- Segment Anything Meets Point Tracking - [[2307.01197](https://arxiv.org/abs/2307.01197)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01197.md)].
- Variational integrals on Hessian spaces: partial regularity for critical   points - [[2307.1191](https://arxiv.org/abs/2307.1191)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.1191.md)].
- Characterisation of three-body loss in ${}^{166}$Er and optimised   production of large Bose-Einstein condensates - [[2307.1245](https://arxiv.org/abs/2307.1245)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.1245.md)].
- Improving Language Plasticity via Pretraining with Active Forgetting - [[2307.01163](https://arxiv.org/abs/2307.01163)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01163.md)].
- SCITUNE: Aligning Large Language Models with Scientific Multimodal   Instructions - [[2307.01139](https://arxiv.org/abs/2307.01139)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01139.md)].
- MVDiffusion: Enabling Holistic Multi-view Image Generation with   Correspondence-Aware Diffusion - [[2307.01097](https://arxiv.org/abs/2307.01097)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01097.md)].
- Scalable quantum neural networks by few quantum resources - [[2307.1017](https://arxiv.org/abs/2307.1017)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.1017.md)].
- Visual Instruction Tuning with Polite Flamingo - [[2307.01003](https://arxiv.org/abs/2307.01003)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01003.md)].
- NOMA-Assisted Grant-Free Transmission: How to Design Pre-Configured SNR   Levels? - [[2307.0990](https://arxiv.org/abs/2307.0990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.0990.md)].
- Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset - [[2307.00818](https://arxiv.org/abs/2307.00818)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00818.md)].
- SketchMetaFace: A Learning-based Sketching Interface for High-fidelity   3D Character Face Modeling - [[2307.00804](https://arxiv.org/abs/2307.00804)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00804.md)].
- EmoGen: Eliminating Subjective Bias in Emotional Music Generation - [[2307.01229](https://arxiv.org/abs/2307.01229)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.01229.md)].
- JourneyDB: A Benchmark for Generative Image Understanding - [[2307.00716](https://arxiv.org/abs/2307.00716)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00716.md)].
- LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance - [[2307.00522](https://arxiv.org/abs/2307.00522)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00522.md)].
- Almost sure bounds for a weighted Steinhaus random multiplicative   function - [[2307.0499](https://arxiv.org/abs/2307.0499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.0499.md)].
- One Copy Is All You Need: Resource-Efficient Streaming of Medical   Imaging Data at Scale - [[2307.00438](https://arxiv.org/abs/2307.00438)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00438.md)].
- ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models - [[2307.00398](https://arxiv.org/abs/2307.00398)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00398.md)].
- DoReMi: Grounding Language Model by Detecting and Recovering from   Plan-Execution Misalignment - [[2307.00329](https://arxiv.org/abs/2307.00329)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00329.md)].
- Personality Traits in Large Language Models - [[2307.00184](https://arxiv.org/abs/2307.00184)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00184.md)].

### June 2023
- Meta-training with Demonstration Retrieval for Efficient Few-shot   Learning - [[2307.00119](https://arxiv.org/abs/2307.00119)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00119.md)].
- Goal Representations for Instruction Following: A Semi-Supervised   Language Interface to Control - [[2307.00117](https://arxiv.org/abs/2307.00117)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00117.md)].
- Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing - [[2306.17848](https://arxiv.org/abs/2306.17848)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17848.md)].
- Magic123: One Image to High-Quality 3D Object Generation Using Both 2D   and 3D Diffusion Priors - [[2306.17843](https://arxiv.org/abs/2306.17843)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17843.md)].
- SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen   LLMs - [[2306.17842](https://arxiv.org/abs/2306.17842)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17842.md)].
- Statler: State-Maintaining Language Models for Embodied Reasoning - [[2306.17840](https://arxiv.org/abs/2306.17840)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17840.md)].
- DisCo: Disentangled Control for Referring Human Dance Generation in Real   World - [[2307.00040](https://arxiv.org/abs/2307.00040)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.00040.md)].
- Stay on topic with Classifier-Free Guidance - [[2306.17806](https://arxiv.org/abs/2306.17806)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17806.md)].
- Topologically Attributed Graphs for Shape Discrimination - [[2306.17805](https://arxiv.org/abs/2306.17805)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17805.md)].
- The Shaped Transformer: Attention Models in the Infinite Depth-and-Width   Limit - [[2306.17759](https://arxiv.org/abs/2306.17759)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17759.md)].
- Large Language Models are Effective Text Rankers with Pairwise Ranking   Prompting - [[2306.17563](https://arxiv.org/abs/2306.17563)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17563.md)].
- Preference Ranking Optimization for Human Alignment - [[2306.17492](https://arxiv.org/abs/2306.17492)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17492.md)].
- ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation - [[2306.17319](https://arxiv.org/abs/2306.17319)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17319.md)].
- Towards Zero-Shot Scale-Aware Monocular Depth Estimation - [[2306.17253](https://arxiv.org/abs/2306.17253)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17253.md)].
- Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4,   and Human Tutors - [[2306.17156](https://arxiv.org/abs/2306.17156)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17156.md)].
- Generate Anything Anywhere in Any Scene - [[2306.17154](https://arxiv.org/abs/2306.17154)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17154.md)].
- Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text   Aligned Latent Representation - [[2306.17115](https://arxiv.org/abs/2306.17115)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17115.md)].
- LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image   Understanding - [[2306.17107](https://arxiv.org/abs/2306.17107)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17107.md)].
- End-to-end Autonomous Driving: Challenges and Frontiers - [[2306.16927](https://arxiv.org/abs/2306.16927)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16927.md)].
- BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike   Animated Motion - [[2306.16940](https://arxiv.org/abs/2306.16940)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16940.md)].
- DreamDiffusion: Generating High-Quality Images from Brain EEG Signals - [[2306.16934](https://arxiv.org/abs/2306.16934)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16934.md)].
- One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape   Optimization - [[2306.16928](https://arxiv.org/abs/2306.16928)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16928.md)].
- NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural   Network Inference in Low-Voltage Regimes - [[2306.16869](https://arxiv.org/abs/2306.16869)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16869.md)].
- ArrayBot: Reinforcement Learning for Generalizable Distributed   Manipulation through Touch - [[2306.16857](https://arxiv.org/abs/2306.16857)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16857.md)].
- Benchmarking Large Language Model Capabilities for Conditional   Generation - [[2306.16793](https://arxiv.org/abs/2306.16793)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16793.md)].
- Dynamic-Resolution Model Learning for Object Pile Manipulation - [[2306.16700](https://arxiv.org/abs/2306.16700)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16700.md)].
- KITE: Keypoint-Conditioned Policies for Semantic Manipulation - [[2306.16605](https://arxiv.org/abs/2306.16605)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16605.md)].
- An Efficient Sparse Inference Software Accelerator for Transformer-based   Language Models on CPUs - [[2306.16601](https://arxiv.org/abs/2306.16601)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16601.md)].
- LLM Calibration and Automatic Hallucination Detection via Pareto Optimal   Self-supervision - [[2306.16564](https://arxiv.org/abs/2306.16564)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16564.md)].
- Towards Language Models That Can See: Computer Vision Through the LENS   of Natural Language - [[2306.16410](https://arxiv.org/abs/2306.16410)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16410.md)].
- On the Exploitability of Instruction Tuning - [[2306.17194](https://arxiv.org/abs/2306.17194)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17194.md)].
- Towards Measuring the Representation of Subjective Global Opinions in   Language Models - [[2306.16388](https://arxiv.org/abs/2306.16388)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16388.md)].
- Inferring the Goals of Communicating Agents from Actions and   Instructions - [[2306.16207](https://arxiv.org/abs/2306.16207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16207.md)].
- SVNR: Spatially-variant Noise Removal with Denoising Diffusion - [[2306.16052](https://arxiv.org/abs/2306.16052)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16052.md)].
- Positive Label Is All You Need for Multi-Label Classification - [[2306.16016](https://arxiv.org/abs/2306.16016)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16016.md)].
- Accelerating Transducers through Adjacent Token Merging - [[2306.16009](https://arxiv.org/abs/2306.16009)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16009.md)].
- Confidence Ranking for CTR Prediction - [[2307.1206](https://arxiv.org/abs/2307.1206)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2307.1206.md)].
- Subclass-balancing Contrastive Learning for Long-tailed Recognition - [[2306.15925](https://arxiv.org/abs/2306.15925)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15925.md)].
- Large Language Model as Attributed Training Data Generator: A Tale of   Diversity and Bias - [[2306.15895](https://arxiv.org/abs/2306.15895)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15895.md)].
- HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide   Resolution - [[2306.15794](https://arxiv.org/abs/2306.15794)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15794.md)].
- REFLECT: Summarizing Robot Experiences for Failure Explanation and   Correction - [[2306.15724](https://arxiv.org/abs/2306.15724)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15724.md)].
- PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle   Adjustment - [[2306.15667](https://arxiv.org/abs/2306.15667)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15667.md)].
- CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy   within a \$10,000 Budget; An Extra \$4,000 Unlocks 81.8% Accuracy - [[2306.15658](https://arxiv.org/abs/2306.15658)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15658.md)].
- Asynchronous Algorithmic Alignment with Cocycles - [[2306.15632](https://arxiv.org/abs/2306.15632)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15632.md)].
- LeanDojo: Theorem Proving with Retrieval-Augmented Language Models - [[2306.15626](https://arxiv.org/abs/2306.15626)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15626.md)].
- Extending Context Window of Large Language Models via Positional   Interpolation - [[2306.15595](https://arxiv.org/abs/2306.15595)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15595.md)].
- Explainable Multimodal Emotion Reasoning - [[2306.15401](https://arxiv.org/abs/2306.15401)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15401.md)].
- Length Generalization in Arithmetic Transformers - [[2306.15400](https://arxiv.org/abs/2306.15400)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15400.md)].
- 3D-Speaker: A Large-Scale Multi-Device, Multi-Distance, and   Multi-Dialect Corpus for Speech Representation Disentanglement - [[2306.15354](https://arxiv.org/abs/2306.15354)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15354.md)].
- MindDial: Belief Dynamics Tracking with Theory-of-Mind Modeling for   Situated Neural Dialogue Generation - [[2306.15253](https://arxiv.org/abs/2306.15253)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15253.md)].
- Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic - [[2306.15195](https://arxiv.org/abs/2306.15195)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15195.md)].
- MIMIC: Masked Image Modeling with Image Correspondences - [[2306.15128](https://arxiv.org/abs/2306.15128)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15128.md)].
- Understanding In-Context Learning via Supportive Pretraining Data - [[2306.15091](https://arxiv.org/abs/2306.15091)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15091.md)].
- InterCode: Standardizing and Benchmarking Interactive Coding with   Execution Feedback - [[2306.14898](https://arxiv.org/abs/2306.14898)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14898.md)].
- RVT: Robotic View Transformer for 3D Object Manipulation - [[2306.14896](https://arxiv.org/abs/2306.14896)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14896.md)].
- Supervised Pretraining Can Learn In-Context Reinforcement Learning - [[2306.14892](https://arxiv.org/abs/2306.14892)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14892.md)].
- Restart Sampling for Improving Generative Processes - [[2306.14878](https://arxiv.org/abs/2306.14878)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14878.md)].
- Are aligned neural networks adversarially aligned? - [[2306.15447](https://arxiv.org/abs/2306.15447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.15447.md)].
- ViNT: A Foundation Model for Visual Navigation - [[2306.14846](https://arxiv.org/abs/2306.14846)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14846.md)].
- Kosmos-2: Grounding Multimodal Large Language Models to the World - [[2306.14824](https://arxiv.org/abs/2306.14824)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14824.md)].
- MotionGPT: Human Motion as a Foreign Language - [[2306.14795](https://arxiv.org/abs/2306.14795)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14795.md)].
- SugarCrepe: Fixing Hackable Benchmarks for Vision-Language   Compositionality - [[2306.14610](https://arxiv.org/abs/2306.14610)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14610.md)].
- Aligning Large Multi-Modal Model with Robust Instruction Tuning - [[2306.14565](https://arxiv.org/abs/2306.14565)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14565.md)].
- A-STAR: Test-time Attention Segregation and Retention for Text-to-image   Synthesis - [[2306.14544](https://arxiv.org/abs/2306.14544)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14544.md)].
- CEIL: Generalized Contextual Imitation Learning - [[2306.14534](https://arxiv.org/abs/2306.14534)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14534.md)].
- ParameterNet: Parameters Are All You Need for Large-scale Visual   Pretraining of Mobile Networks - [[2306.14525](https://arxiv.org/abs/2306.14525)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14525.md)].
- RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse   Tools - [[2306.14447](https://arxiv.org/abs/2306.14447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14447.md)].
- DragDiffusion: Harnessing Diffusion Models for Interactive Point-based   Image Editing - [[2306.14435](https://arxiv.org/abs/2306.14435)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14435.md)].
- Faster Segment Anything: Towards Lightweight SAM for Mobile Applications - [[2306.14289](https://arxiv.org/abs/2306.14289)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14289.md)].
- BiFF: Bi-level Future Fusion with Polyline-based Coordinate for   Interactive Trajectory Prediction - [[2306.14161](https://arxiv.org/abs/2306.14161)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14161.md)].
- DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image   Generation using Limited Data - [[2306.14153](https://arxiv.org/abs/2306.14153)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14153.md)].
- Language models are weak learners - [[2306.14101](https://arxiv.org/abs/2306.14101)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14101.md)].
- SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models - [[2306.14066](https://arxiv.org/abs/2306.14066)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14066.md)].
- DesCo: Learning Object Recognition with Rich Language Descriptions - [[2306.14060](https://arxiv.org/abs/2306.14060)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14060.md)].
- H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large   Language Models - [[2306.14048](https://arxiv.org/abs/2306.14048)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14048.md)].
- Thinking Like an Annotator: Generation of Dataset Labeling Instructions - [[2306.14035](https://arxiv.org/abs/2306.14035)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14035.md)].
- Cross-Validation Is All You Need: A Statistical Approach To Label Noise   Estimation - [[2306.13990](https://arxiv.org/abs/2306.13990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13990.md)].
- Beyond Scale: the Diversity Coefficient as a Data Quality Metric   Demonstrates LLMs are Pre-trained on Formally Diverse Data - [[2306.13840](https://arxiv.org/abs/2306.13840)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13840.md)].
- LLM-Assisted Content Analysis: Using Large Language Models to Support   Deductive Coding - [[2306.14924](https://arxiv.org/abs/2306.14924)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.14924.md)].
- Swin-Free: Achieving Better Cross-Window Attention and Efficiency with   Size-varying Window - [[2306.13776](https://arxiv.org/abs/2306.13776)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13776.md)].
- Zero-shot spatial layout conditioning for text-to-image diffusion models - [[2306.13754](https://arxiv.org/abs/2306.13754)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13754.md)].
- Bring Your Own Data! Self-Supervised Evaluation for Large Language   Models - [[2306.13651](https://arxiv.org/abs/2306.13651)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13651.md)].
- GKD: Generalized Knowledge Distillation for Auto-regressive Sequence   Models - [[2306.13649](https://arxiv.org/abs/2306.13649)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13649.md)].
- OpenMask3D: Open-Vocabulary 3D Instance Segmentation - [[2306.13631](https://arxiv.org/abs/2306.13631)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13631.md)].
- System-Level Natural Language Feedback - [[2306.13588](https://arxiv.org/abs/2306.13588)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13588.md)].
- Scaling MLPs: A Tale of Inductive Bias - [[2306.13575](https://arxiv.org/abs/2306.13575)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13575.md)].
- A Survey on Multimodal Large Language Models - [[2306.13549](https://arxiv.org/abs/2306.13549)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13549.md)].
- DreamEditor: Text-Driven 3D Scene Editing with Neural Fields - [[2306.13455](https://arxiv.org/abs/2306.13455)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13455.md)].
- Long-range Language Modeling with Self-retrieval - [[2306.13421](https://arxiv.org/abs/2306.13421)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13421.md)].
- MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language   Models - [[2306.13394](https://arxiv.org/abs/2306.13394)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13394.md)].
- Evading Forensic Classifiers with Attribute-Conditioned Adversarial   Faces - [[2306.13091](https://arxiv.org/abs/2306.13091)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13091.md)].
- Continuous Layout Editing of Single Images with Diffusion Models - [[2306.13078](https://arxiv.org/abs/2306.13078)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.13078.md)].
- Quantizable Transformers: Removing Outliers by Helping Attention Heads   Do Nothing - [[2306.12929](https://arxiv.org/abs/2306.12929)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12929.md)].
- AudioPaLM: A Large Language Model That Can Speak and Listen - [[2306.12925](https://arxiv.org/abs/2306.12925)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12925.md)].
- Learning from Visual Observation via Offline Pretrained State-to-Go   Transformer - [[2306.12860](https://arxiv.org/abs/2306.12860)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12860.md)].
- Blended-NeRF: Zero-Shot Object Generation and Blending in Existing   Neural Radiance Fields - [[2306.12760](https://arxiv.org/abs/2306.12760)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12760.md)].
- SoftGPT: Learn Goal-oriented Soft Object Manipulation Skills by   Generative Pre-trained Heterogeneous Graph Transformer - [[2306.12677](https://arxiv.org/abs/2306.12677)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12677.md)].
- From Word Models to World Models: Translating from Natural Language to   the Probabilistic Language of Thought - [[2306.12672](https://arxiv.org/abs/2306.12672)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12672.md)].
- Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities - [[2306.12609](https://arxiv.org/abs/2306.12609)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12609.md)].
- Local 3D Editing via 3D Distillation of CLIP Knowledge - [[2306.12570](https://arxiv.org/abs/2306.12570)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12570.md)].
- FFCV: Accelerating Training by Removing Data Bottlenecks - [[2306.12517](https://arxiv.org/abs/2306.12517)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12517.md)].
- Deep Language Networks: Joint Prompt Training of Stacked LLMs using   Variational Inference - [[2306.12509](https://arxiv.org/abs/2306.12509)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12509.md)].
- DreamTime: An Improved Optimization Strategy for Text-to-3D Content   Creation - [[2306.12422](https://arxiv.org/abs/2306.12422)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12422.md)].
- OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text   Documents - [[2306.16527](https://arxiv.org/abs/2306.16527)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.16527.md)].
- Fast Segment Anything - [[2306.12156](https://arxiv.org/abs/2306.12156)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12156.md)].
- Mass-Producing Failures of Multimodal Systems with Language Models - [[2306.12105](https://arxiv.org/abs/2306.12105)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12105.md)].
- HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion   Models - [[2306.12085](https://arxiv.org/abs/2306.12085)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12085.md)].
- EquiformerV2: Improved Equivariant Transformer for Scaling to   Higher-Degree Representations - [[2306.12059](https://arxiv.org/abs/2306.12059)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.12059.md)].
- Training Transformers with 4-bit Integers - [[2306.11987](https://arxiv.org/abs/2306.11987)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11987.md)].
- Opportunities and Risks of LLMs for Scalable Deliberation with Polis - [[2306.11932](https://arxiv.org/abs/2306.11932)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11932.md)].
- Randomized Quantization is All You Need for Differential Privacy in   Federated Learning - [[2306.11913](https://arxiv.org/abs/2306.11913)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11913.md)].
- SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling - [[2306.11886](https://arxiv.org/abs/2306.11886)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11886.md)].
- Diffusion with Forward Models: Solving Stochastic Inverse Problems   Without Direct Supervision - [[2306.11719](https://arxiv.org/abs/2306.11719)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11719.md)].
- RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation - [[2306.11706](https://arxiv.org/abs/2306.11706)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11706.md)].
- Textbooks Are All You Need - [[2306.11644](https://arxiv.org/abs/2306.11644)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11644.md)].
- Improving Image Captioning Descriptiveness by Ranking and LLM-based   Fusion - [[2306.11593](https://arxiv.org/abs/2306.11593)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11593.md)].
- HomeRobot: Open-Vocabulary Mobile Manipulation - [[2306.11565](https://arxiv.org/abs/2306.11565)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11565.md)].
- Improving visual image reconstruction from human brain activity using   latent diffusion models via multiple decoded inputs - [[2306.11536](https://arxiv.org/abs/2306.11536)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11536.md)].
- RM-PRT: Realistic Robotic Manipulation Simulator and Benchmark with   Progressive Reasoning Tasks - [[2306.11335](https://arxiv.org/abs/2306.11335)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11335.md)].
- Dynamic Perceiver for Efficient Visual Recognition - [[2306.11248](https://arxiv.org/abs/2306.11248)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11248.md)].
- Quilt-1M: One Million Image-Text Pairs for Histopathology - [[2306.11207](https://arxiv.org/abs/2306.11207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11207.md)].
- Large Language Models are Fixated by Red Herrings: Exploring Creative   Problem Solving and Einstellung Effect using the Only Connect Wall Dataset - [[2306.11167](https://arxiv.org/abs/2306.11167)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11167.md)].
- FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology   Structure and Knowledge Distillation - [[2306.11046](https://arxiv.org/abs/2306.11046)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11046.md)].
- RepoFusion: Training Code Models to Understand Your Repository - [[2306.10998](https://arxiv.org/abs/2306.10998)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10998.md)].
- BayLing: Bridging Cross-lingual Alignment and Instruction Following   through Interactive Translation for Large Language Models - [[2306.10968](https://arxiv.org/abs/2306.10968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10968.md)].
- MotionGPT: Finetuned LLMs are General-Purpose Motion Generators - [[2306.10900](https://arxiv.org/abs/2306.10900)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10900.md)].
- 3D VR Sketch Guided 3D Shape Prototyping and Exploration - [[2306.10830](https://arxiv.org/abs/2306.10830)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10830.md)].
- Multitrack Music Transcription with a Time-Frequency Perceiver - [[2306.10785](https://arxiv.org/abs/2306.10785)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10785.md)].
- Guiding Language Models of Code with Global Context using Monitors - [[2306.10763](https://arxiv.org/abs/2306.10763)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10763.md)].
- UniMC: A Unified Framework for Long-Term Memory Conversation via   Relevance Representation Learning - [[2306.10543](https://arxiv.org/abs/2306.10543)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10543.md)].
- Point-Cloud Completion with Pretrained Text-to-image Diffusion Models - [[2306.10533](https://arxiv.org/abs/2306.10533)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10533.md)].
- CLARA: Classifying and Disambiguating User Commands for Reliable   Interactive Robotic Agents - [[2306.10376](https://arxiv.org/abs/2306.10376)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10376.md)].
- GLIMMER: generalized late-interaction memory reranker - [[2306.10231](https://arxiv.org/abs/2306.10231)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10231.md)].
- ZeRO++: Extremely Efficient Collective Communication for Giant Model   Training - [[2306.10209](https://arxiv.org/abs/2306.10209)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10209.md)].
- Meta-Personalizing Vision-Language Models to Find Named Instances in   Video - [[2306.10169](https://arxiv.org/abs/2306.10169)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10169.md)].
- MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image   Editing - [[2306.10012](https://arxiv.org/abs/2306.10012)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10012.md)].
- CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via   Adversarial Latent Search - [[2306.10008](https://arxiv.org/abs/2306.10008)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10008.md)].
- Robot Learning with Sensorimotor Pre-training - [[2306.10007](https://arxiv.org/abs/2306.10007)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.10007.md)].
- Investigating Prompting Techniques for Zero- and Few-Shot Visual   Question Answering - [[2306.09996](https://arxiv.org/abs/2306.09996)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09996.md)].
- Evaluating Superhuman Models with Consistency Checks - [[2306.09983](https://arxiv.org/abs/2306.09983)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09983.md)].
- LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient   Learning - [[2306.09910](https://arxiv.org/abs/2306.09910)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09910.md)].
- Demystifying GPT Self-Repair for Code Generation - [[2306.09896](https://arxiv.org/abs/2306.09896)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09896.md)].
- AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation - [[2306.09864](https://arxiv.org/abs/2306.09864)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09864.md)].
- Full Parameter Fine-tuning for Large Language Models with Limited   Resources - [[2306.09782](https://arxiv.org/abs/2306.09782)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09782.md)].
- Gradient is All You Need? - [[2306.09778](https://arxiv.org/abs/2306.09778)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09778.md)].
- Scaling Open-Vocabulary Object Detection - [[2306.09683](https://arxiv.org/abs/2306.09683)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09683.md)].
- OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for   Object-Centric Learning - [[2306.09682](https://arxiv.org/abs/2306.09682)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09682.md)].
- CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained   Language-Vision Models - [[2306.09635](https://arxiv.org/abs/2306.09635)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09635.md)].
- CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller - [[2306.09557](https://arxiv.org/abs/2306.09557)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09557.md)].
- Block-State Transformer - [[2306.09539](https://arxiv.org/abs/2306.09539)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09539.md)].
- Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen   Large Language Models - [[2306.11732](https://arxiv.org/abs/2306.11732)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.11732.md)].
- Inverse Scaling: When Bigger Isn't Better - [[2306.09479](https://arxiv.org/abs/2306.09479)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09479.md)].
- Explore, Establish, Exploit: Red Teaming Language Models from Scratch - [[2306.09442](https://arxiv.org/abs/2306.09442)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09442.md)].
- Seeing the World through Your Eyes - [[2306.09348](https://arxiv.org/abs/2306.09348)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09348.md)].
- UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video - [[2306.09349](https://arxiv.org/abs/2306.09349)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09349.md)].
- Rosetta Neurons: Mining the Common Units in a Model Zoo - [[2306.09346](https://arxiv.org/abs/2306.09346)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09346.md)].
- Evaluating Data Attribution for Text-to-Image Models - [[2306.09345](https://arxiv.org/abs/2306.09345)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09345.md)].
- Human Preference Score v2: A Solid Benchmark for Evaluating Human   Preferences of Text-to-Image Synthesis - [[2306.09341](https://arxiv.org/abs/2306.09341)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09341.md)].
- DreamHuman: Animatable 3D Avatars from Text - [[2306.09329](https://arxiv.org/abs/2306.09329)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09329.md)].
- Language-Guided Music Recommendation for Video via Prompt Analogies - [[2306.09327](https://arxiv.org/abs/2306.09327)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09327.md)].
- Neural Relighting with Subsurface Scattering by Learning the Radiance   Transfer Gradient - [[2306.09322](https://arxiv.org/abs/2306.09322)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09322.md)].
- Diffusion Models for Zero-Shot Open-Vocabulary Segmentation - [[2306.09316](https://arxiv.org/abs/2306.09316)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09316.md)].
- Can Language Models Teach Weaker Agents? Teacher Explanations Improve   Students via Theory of Mind - [[2306.09299](https://arxiv.org/abs/2306.09299)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09299.md)].
- KoLA: Carefully Benchmarking World Knowledge of Large Language Models - [[2306.09296](https://arxiv.org/abs/2306.09296)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09296.md)].
- A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside   Perception - [[2306.09266](https://arxiv.org/abs/2306.09266)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09266.md)].
- LVLM-eHub: A Comprehensive Evaluation Benchmark for Large   Vision-Language Models - [[2306.09265](https://arxiv.org/abs/2306.09265)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09265.md)].
- Encyclopedic VQA: Visual questions about detailed properties of   fine-grained categories - [[2306.09224](https://arxiv.org/abs/2306.09224)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09224.md)].
- CMMLU: Measuring massive multitask language understanding in Chinese - [[2306.09212](https://arxiv.org/abs/2306.09212)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09212.md)].
- NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and   Pose Annotations - [[2306.09109](https://arxiv.org/abs/2306.09109)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09109.md)].
- Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and   Text Integration - [[2306.09093](https://arxiv.org/abs/2306.09093)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09093.md)].
- Behavioral Cloning via Search in Embedded Demonstration Dataset - [[2306.09082](https://arxiv.org/abs/2306.09082)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.09082.md)].
- Re-Benchmarking Pool-Based Active Learning for Binary Classification - [[2306.08954](https://arxiv.org/abs/2306.08954)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08954.md)].
- LOVM: Language-Only Vision Model Selection - [[2306.08893](https://arxiv.org/abs/2306.08893)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08893.md)].
- EPIC Fields: Marrying 3D Geometry and Video Understanding - [[2306.08731](https://arxiv.org/abs/2306.08731)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08731.md)].
- VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing - [[2306.08707](https://arxiv.org/abs/2306.08707)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08707.md)].
- Toward Grounded Social Reasoning - [[2306.08651](https://arxiv.org/abs/2306.08651)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08651.md)].
- Language to Rewards for Robotic Skill Synthesis - [[2306.08647](https://arxiv.org/abs/2306.08647)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08647.md)].
- Towards AGI in Computer Vision: Lessons Learned from GPT and Large   Language Models - [[2306.08641](https://arxiv.org/abs/2306.08641)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08641.md)].
- AssistGPT: A General Multi-modal Assistant that can Plan, Execute,   Inspect, and Learn - [[2306.08640](https://arxiv.org/abs/2306.08640)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08640.md)].
- TAPIR: Tracking Any Point with per-frame Initialization and temporal   Refinement - [[2306.08637](https://arxiv.org/abs/2306.08637)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08637.md)].
- Anticipatory Music Transformer - [[2306.08620](https://arxiv.org/abs/2306.08620)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08620.md)].
- WizardCoder: Empowering Code Large Language Models with Evol-Instruct - [[2306.08568](https://arxiv.org/abs/2306.08568)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08568.md)].
- Knowledge Distillation of Large Language Models - [[2306.08543](https://arxiv.org/abs/2306.08543)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08543.md)].
- TryOnDiffusion: A Tale of Two UNets - [[2306.08276](https://arxiv.org/abs/2306.08276)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08276.md)].
- Contrastive Loss is All You Need to Recover Analogies as Parallel Lines - [[2306.08221](https://arxiv.org/abs/2306.08221)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08221.md)].
- Agile Catching with Whole-Body MPC and Blackbox Policy Learning - [[2306.08205](https://arxiv.org/abs/2306.08205)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08205.md)].
- h2oGPT: Democratizing Large Language Models - [[2306.08161](https://arxiv.org/abs/2306.08161)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08161.md)].
- Large-scale Language Model Rescoring on Long-form Data - [[2306.08133](https://arxiv.org/abs/2306.08133)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08133.md)].
- AVIS: Autonomous Visual Information Seeking with Large Language Models - [[2306.08129](https://arxiv.org/abs/2306.08129)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08129.md)].
- DORSal: Diffusion for Object-centric Representations of Scenes   $\textit{et al.}$ - [[2306.08068](https://arxiv.org/abs/2306.08068)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08068.md)].
- Tune As You Scale: Hyperparameter Optimization For Compute Efficient   Training - [[2306.08055](https://arxiv.org/abs/2306.08055)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08055.md)].
- Efficient 3D Semantic Segmentation with Superpoint Transformer - [[2306.08045](https://arxiv.org/abs/2306.08045)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.08045.md)].
- Neural Scene Chronology - [[2306.07970](https://arxiv.org/abs/2306.07970)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07970.md)].
- GeneCIS: A Benchmark for General Conditional Image Similarity - [[2306.07969](https://arxiv.org/abs/2306.07969)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07969.md)].
- arXiVeri: Automatic table verification with GPT - [[2306.07968](https://arxiv.org/abs/2306.07968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07968.md)].
- One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning - [[2306.07967](https://arxiv.org/abs/2306.07967)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07967.md)].
- Hidden Biases of End-to-End Driving Models - [[2306.07957](https://arxiv.org/abs/2306.07957)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07957.md)].
- Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation - [[2306.07954](https://arxiv.org/abs/2306.07954)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07954.md)].
- Questioning the Survey Responses of Large Language Models - [[2306.07951](https://arxiv.org/abs/2306.07951)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07951.md)].
- Image Captioners Are Scalable Vision Learners Too - [[2306.07915](https://arxiv.org/abs/2306.07915)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07915.md)].
- WebGLM: Towards An Efficient Web-Enhanced Question Answering System with   Human Preferences - [[2306.07906](https://arxiv.org/abs/2306.07906)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07906.md)].
- Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D   Data - [[2306.07881](https://arxiv.org/abs/2306.07881)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07881.md)].
- Area is all you need: repeatable elements make stronger adversarial   attacks - [[2306.07768](https://arxiv.org/abs/2306.07768)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07768.md)].
- E2E-LOAD: End-to-End Long-form Online Action Detection - [[2306.07703](https://arxiv.org/abs/2306.07703)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07703.md)].
- SayTap: Language to Quadrupedal Locomotion - [[2306.07580](https://arxiv.org/abs/2306.07580)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07580.md)].
- Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at   100k Steps-Per-Second - [[2306.07552](https://arxiv.org/abs/2306.07552)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07552.md)].
- TART: A plug-and-play Transformer module for task-agnostic reasoning - [[2306.07536](https://arxiv.org/abs/2306.07536)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07536.md)].
- Require Process Control? LSTMc is all you need! - [[2306.07510](https://arxiv.org/abs/2306.07510)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07510.md)].
- AniFaceDrawing: Anime Portrait Exploration during Your Sketching - [[2306.07476](https://arxiv.org/abs/2306.07476)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07476.md)].
- 3D molecule generation by denoising voxel grids - [[2306.07473](https://arxiv.org/abs/2306.07473)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07473.md)].
- Instant Multi-View Head Capture through Learnable Registration - [[2306.07437](https://arxiv.org/abs/2306.07437)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07437.md)].
- Controlling Text-to-Image Diffusion by Orthogonal Finetuning - [[2306.07280](https://arxiv.org/abs/2306.07280)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07280.md)].
- Scalable 3D Captioning with Pretrained Models - [[2306.07279](https://arxiv.org/abs/2306.07279)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07279.md)].
- Zero-shot Composed Text-Image Retrieval - [[2306.07272](https://arxiv.org/abs/2306.07272)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07272.md)].
- Retrieval-Enhanced Contrastive Vision-Text Models - [[2306.07196](https://arxiv.org/abs/2306.07196)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07196.md)].
- Benchmarking Neural Network Training Algorithms - [[2306.07179](https://arxiv.org/abs/2306.07179)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07179.md)].
- Augmenting Language Models with Long-Term Memory - [[2306.07174](https://arxiv.org/abs/2306.07174)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07174.md)].
- Transformers learn through gradual rank increase - [[2306.07042](https://arxiv.org/abs/2306.07042)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07042.md)].
- Small Temperature is All You Need for Differentiable Architecture Search - [[2306.06855](https://arxiv.org/abs/2306.06855)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06855.md)].
- Weakly supervised information extraction from inscrutable handwritten   document images - [[2306.06823](https://arxiv.org/abs/2306.06823)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06823.md)].
- Attention, Compilation, and Solver-based Symbolic Analysis are All You   Need - [[2306.06755](https://arxiv.org/abs/2306.06755)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06755.md)].
- LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset,   Framework, and Benchmark - [[2306.06687](https://arxiv.org/abs/2306.06687)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06687.md)].
- Face0: Instantaneously Conditioning a Text-to-Image Model on a Face - [[2306.06638](https://arxiv.org/abs/2306.06638)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06638.md)].
- RestGPT: Connecting Large Language Models with Real-World RESTful APIs - [[2306.06624](https://arxiv.org/abs/2306.06624)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06624.md)].
- High-Fidelity Audio Compression with Improved RVQGAN - [[2306.06546](https://arxiv.org/abs/2306.06546)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06546.md)].
- Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration - [[2306.06513](https://arxiv.org/abs/2306.06513)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06513.md)].
- Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract   Scene Descriptions - [[2306.06212](https://arxiv.org/abs/2306.06212)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06212.md)].
- FasterViT: Fast Vision Transformers with Hierarchical Attention - [[2306.06189](https://arxiv.org/abs/2306.06189)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06189.md)].
- Value function estimation using conditional diffusion models for control - [[2306.07290](https://arxiv.org/abs/2306.07290)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07290.md)].
- Realistic Saliency Guided Image Enhancement - [[2306.06092](https://arxiv.org/abs/2306.06092)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06092.md)].
- Mind2Web: Towards a Generalist Agent for the Web - [[2306.06070](https://arxiv.org/abs/2306.06070)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06070.md)].
- GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields - [[2306.06044](https://arxiv.org/abs/2306.06044)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06044.md)].
- DetZero: Rethinking Offboard 3D Object Detection with Long-term   Sequential Point Clouds - [[2306.06023](https://arxiv.org/abs/2306.06023)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06023.md)].
- S$^{3}$: Increasing GPU Utilization during Generative Inference for   Higher Throughput - [[2306.06000](https://arxiv.org/abs/2306.06000)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.06000.md)].
- GPT-Calls: Enhancing Call Segmentation and Tagging by Generating   Synthetic Conversations via Large Language Models - [[2306.07941](https://arxiv.org/abs/2306.07941)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07941.md)].
- Evaluating the Social Impact of Generative AI Systems in Systems and   Society - [[2306.05949](https://arxiv.org/abs/2306.05949)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05949.md)].
- Can Large Language Models Infer Causation from Correlation? - [[2306.05836](https://arxiv.org/abs/2306.05836)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05836.md)].
- Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge   Evaluation - [[2306.05783](https://arxiv.org/abs/2306.05783)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05783.md)].
- Embodied Executable Policy Learning with Language-based Scene   Summarization - [[2306.05696](https://arxiv.org/abs/2306.05696)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05696.md)].
- Judging LLM-as-a-judge with MT-Bench and Chatbot Arena - [[2306.05685](https://arxiv.org/abs/2306.05685)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05685.md)].
- On the Importance of Feature Decorrelation for Unsupervised   Representation Learning in Reinforcement Learning - [[2306.05637](https://arxiv.org/abs/2306.05637)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05637.md)].
- Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for   Speech Understanding - [[2306.07944](https://arxiv.org/abs/2306.07944)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07944.md)].
- BOOT: Data-free Distillation of Denoising Diffusion Models with   Bootstrapping - [[2306.05544](https://arxiv.org/abs/2306.05544)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05544.md)].
- Multi-Modal Classifiers for Open-Vocabulary Object Detection - [[2306.05493](https://arxiv.org/abs/2306.05493)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05493.md)].
- Grounded Text-to-Image Synthesis with Attention Refocusing - [[2306.05427](https://arxiv.org/abs/2306.05427)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05427.md)].
- Background Prompting for Improved Object Depth - [[2306.05428](https://arxiv.org/abs/2306.05428)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05428.md)].
- MIMIC-IT: Multi-Modal In-Context Instruction Tuning - [[2306.05425](https://arxiv.org/abs/2306.05425)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05425.md)].
- Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and   Language Models - [[2306.05424](https://arxiv.org/abs/2306.05424)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05424.md)].
- Tracking Everything Everywhere All at Once - [[2306.05422](https://arxiv.org/abs/2306.05422)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05422.md)].
- Scaling Spherical CNNs - [[2306.05420](https://arxiv.org/abs/2306.05420)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05420.md)].
- R-MAE: Regions Meet Masked Autoencoders - [[2306.05411](https://arxiv.org/abs/2306.05411)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05411.md)].
- LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs - [[2306.05410](https://arxiv.org/abs/2306.05410)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05410.md)].
- Matting Anything - [[2306.05399](https://arxiv.org/abs/2306.05399)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05399.md)].
- Modular Visual Question Answering via Code Generation - [[2306.05392](https://arxiv.org/abs/2306.05392)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05392.md)].
- Unsupervised Compositional Concepts Discovery with Text-to-Image   Generative Models - [[2306.05357](https://arxiv.org/abs/2306.05357)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05357.md)].
- ToolAlpaca: Generalized Tool Learning for Language Models with 3000   Simulated Cases - [[2306.05301](https://arxiv.org/abs/2306.05301)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05301.md)].
- Simple and Controllable Music Generation - [[2306.05284](https://arxiv.org/abs/2306.05284)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05284.md)].
- M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining   Large Language Models - [[2306.05179](https://arxiv.org/abs/2306.05179)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05179.md)].
- SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions - [[2306.05178](https://arxiv.org/abs/2306.05178)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05178.md)].
- PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning   Optimization - [[2306.05087](https://arxiv.org/abs/2306.05087)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05087.md)].
- ScaleDet: A Scalable Multi-Dataset Object Detector - [[2306.04849](https://arxiv.org/abs/2306.04849)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04849.md)].
- Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with   Architecture-Routed Mixture-of-Experts - [[2306.04845](https://arxiv.org/abs/2306.04845)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04845.md)].
- Optimizing ViViT Training: Time and Memory Reduction for Action   Recognition - [[2306.04822](https://arxiv.org/abs/2306.04822)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04822.md)].
- INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large   Language Models - [[2306.04757](https://arxiv.org/abs/2306.04757)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04757.md)].
- How Far Can Camels Go? Exploring the State of Instruction Tuning on Open   Resources - [[2306.04751](https://arxiv.org/abs/2306.04751)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04751.md)].
- Improving Open Language Models by Learning from Organic Interactions - [[2306.04707](https://arxiv.org/abs/2306.04707)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04707.md)].
- On the Reliability of Watermarks for Large Language Models - [[2306.04634](https://arxiv.org/abs/2306.04634)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04634.md)].
- Designing a Better Asymmetric VQGAN for StableDiffusion - [[2306.04632](https://arxiv.org/abs/2306.04632)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04632.md)].
- ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image   Collections - [[2306.04619](https://arxiv.org/abs/2306.04619)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04619.md)].
- PromptBench: Towards Evaluating the Robustness of Large Language Models   on Adversarial Prompts - [[2306.04528](https://arxiv.org/abs/2306.04528)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04528.md)].
- Improving neural network representations using human similarity   judgments - [[2306.04507](https://arxiv.org/abs/2306.04507)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04507.md)].
- Rewarded soups: towards Pareto-optimal alignment by interpolating   weights fine-tuned on diverse rewards - [[2306.04488](https://arxiv.org/abs/2306.04488)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04488.md)].
- M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual   Instruction Tuning - [[2306.04387](https://arxiv.org/abs/2306.04387)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04387.md)].
- Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for   Pre-training and Benchmarks - [[2306.04362](https://arxiv.org/abs/2306.04362)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04362.md)].
- MobileNMT: Enabling Translation in 15MB and 30ms - [[2306.04235](https://arxiv.org/abs/2306.04235)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04235.md)].
- Benchmarking Foundation Models with Language-Model-as-an-Examiner - [[2306.04181](https://arxiv.org/abs/2306.04181)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04181.md)].
- Increasing Diversity While Maintaining Accuracy: Text Data Generation   with Large Language Models and Human Interventions - [[2306.04140](https://arxiv.org/abs/2306.04140)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04140.md)].
- Text-only Domain Adaptation using Unified Speech-Text Representation in   Transducer - [[2306.04076](https://arxiv.org/abs/2306.04076)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04076.md)].
- Transferable Adversarial Robustness for Categorical Data via Universal   Robust Embeddings - [[2306.04064](https://arxiv.org/abs/2306.04064)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04064.md)].
- LLMZip: Lossless Text Compression using Large Language Models - [[2306.04050](https://arxiv.org/abs/2306.04050)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04050.md)].
- Certified Reasoning with Language Models - [[2306.04031](https://arxiv.org/abs/2306.04031)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04031.md)].
- Triggering Multi-Hop Reasoning for Question Answering in Language Models   using Soft Prompts and Random Walks - [[2306.04009](https://arxiv.org/abs/2306.04009)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.04009.md)].
- ATT3D: Amortized Text-to-3D Object Synthesis - [[2306.07349](https://arxiv.org/abs/2306.07349)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07349.md)].
- ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory - [[2306.03901](https://arxiv.org/abs/2306.03901)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03901.md)].
- Emergent Correspondence from Image Diffusion - [[2306.03881](https://arxiv.org/abs/2306.03881)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03881.md)].
- Deductive Verification of Chain-of-Thought Reasoning - [[2306.03872](https://arxiv.org/abs/2306.03872)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03872.md)].
- LEACE: Perfect linear concept erasure in closed form - [[2306.03819](https://arxiv.org/abs/2306.03819)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03819.md)].
- Learning to Ground Instructional Articles in Videos through Narrations - [[2306.03802](https://arxiv.org/abs/2306.03802)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03802.md)].
- Enabling Intelligent Interactions between an Agent and an LLM: A   Reinforcement Learning Approach - [[2306.03604](https://arxiv.org/abs/2306.03604)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03604.md)].
- On Pitfalls of Test-Time Adaptation - [[2306.03536](https://arxiv.org/abs/2306.03536)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03536.md)].
- Recognize Anything: A Strong Image Tagging Model - [[2306.03514](https://arxiv.org/abs/2306.03514)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03514.md)].
- Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive   Bias - [[2306.03509](https://arxiv.org/abs/2306.03509)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03509.md)].
- Ada-TTA: Towards Adaptive High-Quality Text-to-Talking Avatar Synthesis - [[2306.03504](https://arxiv.org/abs/2306.03504)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03504.md)].
- A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep   Reinforcement Learning from Vision and Touch - [[2306.03484](https://arxiv.org/abs/2306.03484)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03484.md)].
- Natural Language Commanding via Program Synthesis - [[2306.03460](https://arxiv.org/abs/2306.03460)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03460.md)].
- Large Language Models of Code Fail at Completing Code with Potential   Bugs - [[2306.03438](https://arxiv.org/abs/2306.03438)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03438.md)].
- GaitGCI: Generative Counterfactual Intervention for Gait Recognition - [[2306.03428](https://arxiv.org/abs/2306.03428)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03428.md)].
- DVIS: Decoupled Video Instance Segmentation Framework - [[2306.03413](https://arxiv.org/abs/2306.03413)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03413.md)].
- Vid2Act: Activate Offline Videos for Visual RL - [[2306.03360](https://arxiv.org/abs/2306.03360)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03360.md)].
- Stabilizing Contrastive RL: Techniques for Offline Goal Reaching - [[2306.03346](https://arxiv.org/abs/2306.03346)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03346.md)].
- Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM   Agents - [[2306.03314](https://arxiv.org/abs/2306.03314)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03314.md)].
- A Static Evaluation of Code Completion by Large Language Models - [[2306.03203](https://arxiv.org/abs/2306.03203)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03203.md)].
- Neuralangelo: High-Fidelity Neural Surface Reconstruction - [[2306.03092](https://arxiv.org/abs/2306.03092)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03092.md)].
- MotionDiffuser: Controllable Multi-Agent Motion Prediction using   Diffusion - [[2306.03083](https://arxiv.org/abs/2306.03083)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03083.md)].
- InstructZero: Efficient Instruction Optimization for Black-Box Large   Language Models - [[2306.03082](https://arxiv.org/abs/2306.03082)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03082.md)].
- HeadSculpt: Crafting 3D Head Avatars with Text - [[2306.03038](https://arxiv.org/abs/2306.03038)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03038.md)].
- PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge - [[2306.03024](https://arxiv.org/abs/2306.03024)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03024.md)].
- BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance   Fields - [[2306.03000](https://arxiv.org/abs/2306.03000)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03000.md)].
- PolyVoice: Language Models for Speech to Speech Translation - [[2306.02982](https://arxiv.org/abs/2306.02982)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.02982.md)].
- Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video   Understanding - [[2306.02858](https://arxiv.org/abs/2306.02858)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.02858.md)].
- Scene as Occupancy - [[2306.02851](https://arxiv.org/abs/2306.02851)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.02851.md)].
- Orca: Progressive Learning from Complex Explanation Traces of GPT-4 - [[2306.02707](https://arxiv.org/abs/2306.02707)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.02707.md)].
- LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and   Generative Fusion - [[2306.02561](https://arxiv.org/abs/2306.02561)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.02561.md)].
- RecAgent: A Novel Simulation Paradigm for Recommender Systems - [[2306.02552](https://arxiv.org/abs/2306.02552)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.02552.md)].
- PLANNER: Generating Diversified Paragraph via Latent Language Diffusion   Model - [[2306.02531](https://arxiv.org/abs/2306.02531)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.02531.md)].
- A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean   Language Models - [[2306.02254](https://arxiv.org/abs/2306.02254)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.02254.md)].
- SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model - [[2306.02245](https://arxiv.org/abs/2306.02245)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.02245.md)].
- Benchmarking Robustness of Adaptation Methods on Pre-trained   Vision-Language Models - [[2306.02080](https://arxiv.org/abs/2306.02080)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.02080.md)].
- Prompting Is All You Need: Automated Android Bug Replay with Large   Language Models - [[2306.01987](https://arxiv.org/abs/2306.01987)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01987.md)].
- AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap - [[2306.01941](https://arxiv.org/abs/2306.01941)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01941.md)].
- RITA: Group Attention is All You Need for Timeseries Analytics - [[2306.01926](https://arxiv.org/abs/2306.01926)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01926.md)].
- The Surprising Effectiveness of Diffusion Models for Optical Flow and   Monocular Depth Estimation - [[2306.01923](https://arxiv.org/abs/2306.01923)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01923.md)].
- VisualGPTScore: Visio-Linguistic Reasoning with Multimodal Generative   Pre-Training Scores - [[2306.01879](https://arxiv.org/abs/2306.01879)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01879.md)].
- Probabilistic Adaptation of Text-to-Video Models - [[2306.01872](https://arxiv.org/abs/2306.01872)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01872.md)].
- Binary and Ternary Natural Language Generation - [[2306.01841](https://arxiv.org/abs/2306.01841)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01841.md)].
- DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model - [[2306.01736](https://arxiv.org/abs/2306.01736)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01736.md)].
- Evaluating Language Models for Mathematics through Interactions - [[2306.01694](https://arxiv.org/abs/2306.01694)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01694.md)].
- Fine-Grained Human Feedback Gives Better Rewards for Language Model   Training - [[2306.01693](https://arxiv.org/abs/2306.01693)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01693.md)].
- Harnessing large-language models to generate private synthetic text - [[2306.01684](https://arxiv.org/abs/2306.01684)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01684.md)].
- STUDY: Socially Aware Temporally Causal Decoder Recommender Systems - [[2306.07946](https://arxiv.org/abs/2306.07946)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.07946.md)].
- Segment Anything in High Quality - [[2306.01567](https://arxiv.org/abs/2306.01567)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01567.md)].
- Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object   Detection - [[2306.01438](https://arxiv.org/abs/2306.01438)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01438.md)].
- An Empirical Study on Challenging Math Problem Solving with GPT-4 - [[2306.01337](https://arxiv.org/abs/2306.01337)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01337.md)].
- LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning - [[2306.01293](https://arxiv.org/abs/2306.01293)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01293.md)].
- Responsible Task Automation: Empowering Large Language Models as   Responsible Task Automators - [[2306.01242](https://arxiv.org/abs/2306.01242)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01242.md)].
- Faster Causal Attention Over Large Sequences Through Sparse Flash   Attention - [[2306.01160](https://arxiv.org/abs/2306.01160)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01160.md)].
- The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora   with Web Data, and Web Data Only - [[2306.01116](https://arxiv.org/abs/2306.01116)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01116.md)].
- Reimagining Retrieval Augmented Language Models for Answering Queries - [[2306.01061](https://arxiv.org/abs/2306.01061)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01061.md)].
- Diffusion Self-Guidance for Controllable Image Generation - [[2306.00986](https://arxiv.org/abs/2306.00986)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00986.md)].
- StyleDrop: Text-to-Image Generation in Any Style - [[2306.00983](https://arxiv.org/abs/2306.00983)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00983.md)].
- StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual   Representation Learners - [[2306.00984](https://arxiv.org/abs/2306.00984)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00984.md)].
- SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two   Seconds - [[2306.00980](https://arxiv.org/abs/2306.00980)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00980.md)].
- AWQ: Activation-aware Weight Quantization for LLM Compression and   Acceleration - [[2306.00978](https://arxiv.org/abs/2306.00978)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00978.md)].
- ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image   Generation - [[2306.00971](https://arxiv.org/abs/2306.00971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00971.md)].
- The Hidden Language of Diffusion Models - [[2306.00966](https://arxiv.org/abs/2306.00966)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00966.md)].
- Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image   Generation - [[2306.00964](https://arxiv.org/abs/2306.00964)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00964.md)].
- The ObjectFolder Benchmark: Multisensory Learning with Neural and Real   Objects - [[2306.00956](https://arxiv.org/abs/2306.00956)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00956.md)].
- Make-Your-Video: Customized Video Generation Using Textual and   Structural Guidance - [[2306.00943](https://arxiv.org/abs/2306.00943)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00943.md)].
- STEVE-1: A Generative Model for Text-to-Behavior in Minecraft - [[2306.00937](https://arxiv.org/abs/2306.00937)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00937.md)].
- Inserting Anybody in Diffusion Models via Celeb Basis - [[2306.00926](https://arxiv.org/abs/2306.00926)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00926.md)].
- T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image   Generation - [[2306.00905](https://arxiv.org/abs/2306.00905)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00905.md)].
- LLaVA-Med: Training a Large Language-and-Vision Assistant for   Biomedicine in One Day - [[2306.00890](https://arxiv.org/abs/2306.00890)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00890.md)].
- Birth of a Transformer: A Memory Viewpoint - [[2306.00802](https://arxiv.org/abs/2306.00802)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00802.md)].
- Microstructure quality control of steels using deep learning - [[2306.0797](https://arxiv.org/abs/2306.0797)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.0797.md)].
- GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception   Tasks? - [[2306.00693](https://arxiv.org/abs/2306.00693)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00693.md)].
- Wuerstchen: Efficient Pretraining of Text-to-Image Models - [[2306.00637](https://arxiv.org/abs/2306.00637)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00637.md)].
- ReviewerGPT? An Exploratory Study on Using Large Language Models for   Paper Reviewing - [[2306.00622](https://arxiv.org/abs/2306.00622)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00622.md)].
- Exploring Open-Vocabulary Semantic Segmentation without Human Labels - [[2306.00450](https://arxiv.org/abs/2306.00450)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00450.md)].
- Example-based Motion Synthesis via Generative Motion Matching - [[2306.00378](https://arxiv.org/abs/2306.00378)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00378.md)].
- Thought Cloning: Learning to Think while Acting by Imitating Human   Thinking - [[2306.00323](https://arxiv.org/abs/2306.00323)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00323.md)].
- Rethinking Model Evaluation as Narrowing the Socio-Technical Gap - [[2306.03100](https://arxiv.org/abs/2306.03100)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.03100.md)].

### May 2023
- From Pixels to UI Actions: Learning to Follow Instructions via Graphical   User Interfaces - [[2306.00245](https://arxiv.org/abs/2306.00245)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00245.md)].
- Bytes Are All You Need: Transformers Operating Directly On File Bytes - [[2306.00238](https://arxiv.org/abs/2306.00238)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00238.md)].
- SafeDiffuser: Safe Planning with Diffusion Probabilistic Models - [[2306.00148](https://arxiv.org/abs/2306.00148)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00148.md)].
- MuseCoco: Generating Symbolic Music from Text - [[2306.00110](https://arxiv.org/abs/2306.00110)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00110.md)].
- MERT: Acoustic Music Understanding Model with Large-Scale   Self-supervised Training - [[2306.00107](https://arxiv.org/abs/2306.00107)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00107.md)].
- Humans in 4D: Reconstructing and Tracking Humans with Transformers - [[2305.20091](https://arxiv.org/abs/2305.20091)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.20091.md)].
- Improving CLIP Training with Language Rewrites - [[2305.20088](https://arxiv.org/abs/2305.20088)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.20088.md)].
- Too Large; Data Reduction for Vision-Language Pre-Training - [[2305.20087](https://arxiv.org/abs/2305.20087)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.20087.md)].
- Understanding and Mitigating Copying in Diffusion Models - [[2305.20086](https://arxiv.org/abs/2305.20086)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.20086.md)].
- Control4D: Dynamic Portrait Editing by Learning 4D GAN from 2D   Diffusion-based Editor - [[2305.20082](https://arxiv.org/abs/2305.20082)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.20082.md)].
- Efficient Diffusion Policies for Offline Reinforcement Learning - [[2305.20081](https://arxiv.org/abs/2305.20081)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.20081.md)].
- Tree-Ring Watermarks: Fingerprints for Diffusion Images that are   Invisible and Robust - [[2305.20030](https://arxiv.org/abs/2305.20030)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.20030.md)].
- Monotonic Location Attention for Length Generalization - [[2305.20019](https://arxiv.org/abs/2305.20019)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.20019.md)].
- Human or Not? A Gamified Approach to the Turing Test - [[2305.20010](https://arxiv.org/abs/2305.20010)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.20010.md)].
- Deliberate then Generate: Enhanced Prompting Framework for Text   Generation - [[2305.19835](https://arxiv.org/abs/2305.19835)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19835.md)].
- Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL   Models - [[2305.19595](https://arxiv.org/abs/2305.19595)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19595.md)].
- Neural Kernel Surface Reconstruction - [[2305.19590](https://arxiv.org/abs/2305.19590)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19590.md)].
- CodeTF: One-stop Transformer Library for State-of-the-art Code LLM - [[2306.00029](https://arxiv.org/abs/2306.00029)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00029.md)].
- PlaSma: Making Small Language Models Better Procedural Knowledge Models   for (Counterfactual) Planning - [[2305.19472](https://arxiv.org/abs/2305.19472)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19472.md)].
- The Impact of Positional Encoding on Length Generalization in   Transformers - [[2305.19466](https://arxiv.org/abs/2305.19466)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19466.md)].
- Bigger, Better, Faster: Human-level Atari with human-level efficiency - [[2305.19452](https://arxiv.org/abs/2305.19452)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19452.md)].
- Blockwise Parallel Transformer for Large Context Models - [[2305.19370](https://arxiv.org/abs/2305.19370)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19370.md)].
- AlteredAvatar: Stylizing Dynamic 3D Avatars with Fast Style Adaptation - [[2305.19245](https://arxiv.org/abs/2305.19245)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19245.md)].
- Grammar Prompting for Domain-Specific Language Generation with Large   Language Models - [[2305.19234](https://arxiv.org/abs/2305.19234)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19234.md)].
- LANCE: Stress-testing Visual Models by Generating Language-guided   Counterfactual Images - [[2305.19164](https://arxiv.org/abs/2305.19164)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19164.md)].
- Encouraging Divergent Thinking in Large Language Models through   Multi-Agent Debate - [[2305.19118](https://arxiv.org/abs/2305.19118)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19118.md)].
- Nested Diffusion Processes for Anytime Image Generation - [[2305.19066](https://arxiv.org/abs/2305.19066)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19066.md)].
- Rank-adaptive spectral pruning of convolutional layers during training - [[2305.19059](https://arxiv.org/abs/2305.19059)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19059.md)].
- StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity   3D Avatar Generation - [[2305.19012](https://arxiv.org/abs/2305.19012)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19012.md)].
- Independent Component Alignment for Multi-Task Learning - [[2305.19000](https://arxiv.org/abs/2305.19000)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.19000.md)].
- LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus - [[2305.18802](https://arxiv.org/abs/2305.18802)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18802.md)].
- HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance - [[2305.18766](https://arxiv.org/abs/2305.18766)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18766.md)].
- VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic   Understanding with Scene and Topic Transitions - [[2305.18756](https://arxiv.org/abs/2305.18756)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18756.md)].
- GPT4Tools: Teaching Large Language Model to Use Tools via   Self-instruction - [[2305.18752](https://arxiv.org/abs/2305.18752)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18752.md)].
- Real-World Image Variation by Aligning Diffusion Inversion Chain - [[2305.18729](https://arxiv.org/abs/2305.18729)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18729.md)].
- Faith and Fate: Limits of Transformers on Compositionality - [[2305.18654](https://arxiv.org/abs/2305.18654)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18654.md)].
- Controllable Text-to-Image Generation with GPT-4 - [[2305.18583](https://arxiv.org/abs/2305.18583)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18583.md)].
- PaLI-X: On Scaling up a Multilingual Vision and Language Model - [[2305.18565](https://arxiv.org/abs/2305.18565)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18565.md)].
- Brainformers: Trading Simplicity for Efficiency - [[2306.00008](https://arxiv.org/abs/2306.00008)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00008.md)].
- RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths - [[2305.18295](https://arxiv.org/abs/2305.18295)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18295.md)].
- Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept   Customization of Diffusion Models - [[2305.18292](https://arxiv.org/abs/2305.18292)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18292.md)].
- Direct Preference Optimization: Your Language Model is Secretly a Reward   Model - [[2305.18290](https://arxiv.org/abs/2305.18290)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18290.md)].
- Photoswap: Personalized Subject Swapping in Images - [[2305.18286](https://arxiv.org/abs/2305.18286)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18286.md)].
- Contextual Object Detection with Multimodal Large Language Models - [[2305.18279](https://arxiv.org/abs/2305.18279)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18279.md)].
- Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning   and Diffusion Priors - [[2305.18274](https://arxiv.org/abs/2305.18274)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18274.md)].
- Gen-L-Video: Multi-Text to Long Video Generation via Temporal   Co-Denoising - [[2305.18264](https://arxiv.org/abs/2305.18264)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18264.md)].
- GlyphControl: Glyph Conditional Control for Visual Text Generation - [[2305.18259](https://arxiv.org/abs/2305.18259)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18259.md)].
- TaleCrafter: Interactive Story Visualization with Multiple Characters - [[2305.18247](https://arxiv.org/abs/2305.18247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18247.md)].
- Marked Personas: Using Natural Language Prompts to Measure Stereotypes   in Language Models - [[2305.18189](https://arxiv.org/abs/2305.18189)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18189.md)].
- Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large   Language Models - [[2305.18507](https://arxiv.org/abs/2305.18507)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18507.md)].
- Pre-training Contextualized World Models with In-the-wild Videos for   Reinforcement Learning - [[2305.18499](https://arxiv.org/abs/2305.18499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18499.md)].
- BigTranslate: Augmenting Large Language Models with Multilingual   Translation Capability over 100 Languages - [[2305.18098](https://arxiv.org/abs/2305.18098)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18098.md)].
- Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation - [[2305.18474](https://arxiv.org/abs/2305.18474)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18474.md)].
- DiffRate : Differentiable Compression Rate for Efficient Vision   Transformers - [[2305.17997](https://arxiv.org/abs/2305.17997)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17997.md)].
- Efficient Storage of Fine-Tuned Models via Low-Rank Approximation of   Weight Residuals - [[2305.18425](https://arxiv.org/abs/2305.18425)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18425.md)].
- Geometric Algebra Transformers - [[2305.18415](https://arxiv.org/abs/2305.18415)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18415.md)].
- KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature   Adaptation of Vision-Language Models - [[2305.18373](https://arxiv.org/abs/2305.18373)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18373.md)].
- Data Minimization at Inference Time - [[2305.17593](https://arxiv.org/abs/2305.17593)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17593.md)].
- Scalable Transformer for PDE Surrogate Modeling - [[2305.17560](https://arxiv.org/abs/2305.17560)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17560.md)].
- The Curse of Recursion: Training on Generated Data Makes Models Forget - [[2305.17493](https://arxiv.org/abs/2305.17493)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17493.md)].
- What can Large Language Models do in chemistry? A comprehensive   benchmark on eight tasks - [[2305.18365](https://arxiv.org/abs/2305.18365)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18365.md)].
- SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex   Interactive Tasks - [[2305.17390](https://arxiv.org/abs/2305.17390)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17390.md)].
- MPCHAT: Towards Multimodal Persona-Grounded Conversation - [[2305.17388](https://arxiv.org/abs/2305.17388)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17388.md)].
- Augmenting Large Language Model Translators via Translation Memories - [[2305.17367](https://arxiv.org/abs/2305.17367)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17367.md)].
- DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of   GPT-Generated Text - [[2305.17359](https://arxiv.org/abs/2305.17359)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17359.md)].
- Fine-Tuning Language Models with Just Forward Passes - [[2305.17333](https://arxiv.org/abs/2305.17333)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17333.md)].
- Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language   Models - [[2305.17311](https://arxiv.org/abs/2305.17311)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17311.md)].
- Chain-of-Thought Hub: A Continuous Effort to Measure Large Language   Models' Reasoning Performance - [[2305.17306](https://arxiv.org/abs/2305.17306)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17306.md)].
- SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL - [[2306.00739](https://arxiv.org/abs/2306.00739)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.00739.md)].
- Generating Images with Multimodal Language Models - [[2305.17216](https://arxiv.org/abs/2305.17216)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17216.md)].
- Large Language Models as Tool Makers - [[2305.17126](https://arxiv.org/abs/2305.17126)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17126.md)].
- Scissorhands: Exploiting the Persistence of Importance Hypothesis for   LLM KV Cache Compression at Test Time - [[2305.17118](https://arxiv.org/abs/2305.17118)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17118.md)].
- High-Fidelity Image Compression with Score-based Generative Models - [[2305.18231](https://arxiv.org/abs/2305.18231)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18231.md)].
- ControlVideo: Adding Conditional Control for One Shot Text-to-Video   Editing - [[2305.17098](https://arxiv.org/abs/2305.17098)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17098.md)].
- Mindstorms in Natural Language-Based Societies of Mind - [[2305.17066](https://arxiv.org/abs/2305.17066)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17066.md)].
- SOC: Semantic-Assisted Object Cluster for Referring Video Object   Segmentation - [[2305.17011](https://arxiv.org/abs/2305.17011)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17011.md)].
- Let the Flows Tell: Solving Graph Combinatorial Optimization Problems   with GFlowNets - [[2305.17010](https://arxiv.org/abs/2305.17010)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17010.md)].
- Three Towers: Flexible Contrastive Learning with Pretrained Image Models - [[2305.16999](https://arxiv.org/abs/2305.16999)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16999.md)].
- Inverse Dynamics Pretraining Learns Good Representations for Multitask   Imitation - [[2305.16985](https://arxiv.org/abs/2305.16985)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16985.md)].
- Training Socially Aligned Language Models in Simulated Human Society - [[2305.16960](https://arxiv.org/abs/2305.16960)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16960.md)].
- MixCE: Training Autoregressive Language Models by Mixing Forward and   Reverse Cross-Entropies - [[2305.16958](https://arxiv.org/abs/2305.16958)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16958.md)].
- On Evaluating Adversarial Robustness of Large Vision-Language Models - [[2305.16934](https://arxiv.org/abs/2305.16934)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16934.md)].
- MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of   Thought Prompting - [[2305.16896](https://arxiv.org/abs/2305.16896)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16896.md)].
- Playing repeated games with Large Language Models - [[2305.16867](https://arxiv.org/abs/2305.16867)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16867.md)].
- Randomized Positional Encodings Boost Length Generalization of   Transformers - [[2305.16843](https://arxiv.org/abs/2305.16843)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16843.md)].
- Selective Mixup Helps with Distribution Shifts, But Not (Only) because   of Mixup - [[2305.16817](https://arxiv.org/abs/2305.16817)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16817.md)].
- Do GPTs Produce Less Literal Translations? - [[2305.16806](https://arxiv.org/abs/2305.16806)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16806.md)].
- Multimodal Recommendation Dialog with Subjective Preference: A New   Challenge and Benchmark - [[2305.18212](https://arxiv.org/abs/2305.18212)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.18212.md)].
- A Closer Look at In-Context Learning under Distribution Shifts - [[2305.16704](https://arxiv.org/abs/2305.16704)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16704.md)].
- AdaPlanner: Adaptive Planning from Feedback with Language Models - [[2305.16653](https://arxiv.org/abs/2305.16653)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16653.md)].
- Impossible Distillation: from Low-Quality Model to High-Quality Dataset   &amp; Model for Summarization and Paraphrasing - [[2305.16635](https://arxiv.org/abs/2305.16635)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16635.md)].
- Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large   Language Models - [[2305.16582](https://arxiv.org/abs/2305.16582)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16582.md)].
- On the Tool Manipulation Capability of Open-source Large Language Models - [[2305.16504](https://arxiv.org/abs/2305.16504)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16504.md)].
- ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image - [[2305.16411](https://arxiv.org/abs/2305.16411)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16411.md)].
- Ghost in the Minecraft: Generally Capable Agents for Open-World   Environments via Large Language Models with Text-based Knowledge and Memory - [[2305.17144](https://arxiv.org/abs/2305.17144)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.17144.md)].
- Break-A-Scene: Extracting Multiple Concepts from a Single Image - [[2305.16311](https://arxiv.org/abs/2305.16311)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16311.md)].
- Landmark Attention: Random-Access Infinite Context Length for   Transformers - [[2305.16300](https://arxiv.org/abs/2305.16300)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16300.md)].
- Voyager: An Open-Ended Embodied Agent with Large Language Models - [[2305.16291](https://arxiv.org/abs/2305.16291)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16291.md)].
- DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion   Models - [[2305.16381](https://arxiv.org/abs/2305.16381)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16381.md)].
- ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with   Variational Score Distillation - [[2305.16213](https://arxiv.org/abs/2305.16213)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16213.md)].
- Scan and Snap: Understanding Training Dynamics and Token Composition in   1-layer Transformer - [[2305.16380](https://arxiv.org/abs/2305.16380)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16380.md)].
- ChatBridge: Bridging Modalities with Large Language Model as a Language   Catalyst - [[2305.16103](https://arxiv.org/abs/2305.16103)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16103.md)].
- Role-Play with Large Language Models - [[2305.16367](https://arxiv.org/abs/2305.16367)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16367.md)].
- On Architectural Compression of Text-to-Image Diffusion Models - [[2305.15798](https://arxiv.org/abs/2305.15798)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15798.md)].
- Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models - [[2305.15779](https://arxiv.org/abs/2305.15779)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15779.md)].
- On the Planning Abilities of Large Language Models -- A Critical   Investigation - [[2305.15771](https://arxiv.org/abs/2305.15771)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15771.md)].
- Efficient Neural Music Generation - [[2305.15719](https://arxiv.org/abs/2305.15719)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15719.md)].
- The False Promise of Imitating Proprietary LLMs - [[2305.15717](https://arxiv.org/abs/2305.15717)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15717.md)].
- PandaGPT: One Model To Instruction-Follow Them All - [[2305.16355](https://arxiv.org/abs/2305.16355)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16355.md)].
- Manifold Diffusion Fields - [[2305.15586](https://arxiv.org/abs/2305.15586)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15586.md)].
- Unsupervised Semantic Correspondence Using Stable Diffusion - [[2305.15581](https://arxiv.org/abs/2305.15581)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15581.md)].
- Lexinvariant Language Models - [[2305.16349](https://arxiv.org/abs/2305.16349)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16349.md)].
- SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and   Reasoning - [[2305.15486](https://arxiv.org/abs/2305.15486)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15486.md)].
- LayoutGPT: Compositional Visual Planning and Generation with Large   Language Models - [[2305.15393](https://arxiv.org/abs/2305.15393)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15393.md)].
- Learning high-level visual representations from a child's perspective   without strong inductive biases - [[2305.15372](https://arxiv.org/abs/2305.15372)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15372.md)].
- Gorilla: Large Language Model Connected with Massive APIs - [[2305.15334](https://arxiv.org/abs/2305.15334)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15334.md)].
- Visual Programming for Text-to-Image Generation and Evaluation - [[2305.15328](https://arxiv.org/abs/2305.15328)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15328.md)].
- Enhancing Retrieval-Augmented Large Language Models with Iterative   Retrieval-Generation Synergy - [[2305.15294](https://arxiv.org/abs/2305.15294)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15294.md)].
- ViTMatte: Boosting Image Matting with Pretrained Plain Vision   Transformers - [[2305.15272](https://arxiv.org/abs/2305.15272)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15272.md)].
- Revisiting Parallel Context Windows: A Frustratingly Simple Alternative   and Chain-of-Thought Deterioration - [[2305.15262](https://arxiv.org/abs/2305.15262)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15262.md)].
- Adaptive Policy Learning to Additional Tasks - [[2305.15193](https://arxiv.org/abs/2305.15193)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15193.md)].
- Policy Learning based on Deep Koopman Representation - [[2305.15188](https://arxiv.org/abs/2305.15188)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15188.md)].
- Semantic-Enhanced Differentiable Search Index Inspired by Learning   Strategies - [[2305.15115](https://arxiv.org/abs/2305.15115)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15115.md)].
- Dynamic Masking Rate Schedules for MLM Pretraining - [[2305.15096](https://arxiv.org/abs/2305.15096)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15096.md)].
- Cream: Visually-Situated Natural Language Understanding with Contrastive   Reading Model and Frozen Large Language Models - [[2305.15080](https://arxiv.org/abs/2305.15080)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15080.md)].
- Is GPT-4 a Good Data Analyst? - [[2305.15038](https://arxiv.org/abs/2305.15038)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15038.md)].
- Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large   Language Models - [[2305.15023](https://arxiv.org/abs/2305.15023)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15023.md)].
- EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought - [[2305.15021](https://arxiv.org/abs/2305.15021)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.15021.md)].
- Reasoning with Language Model is Planning with World Model - [[2305.14992](https://arxiv.org/abs/2305.14992)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14992.md)].
- IdealGPT: Iteratively Decomposing Vision and Language Reasoning via   Large Language Models - [[2305.14985](https://arxiv.org/abs/2305.14985)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14985.md)].
- Benchmarking Arabic AI with Large Language Models - [[2305.14982](https://arxiv.org/abs/2305.14982)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14982.md)].
- Assessment of the Reliablity of a Model's Decision by Generalizing   Attribution to the Wavelet Domain - [[2305.14979](https://arxiv.org/abs/2305.14979)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14979.md)].
- Discriminator-Guided Multi-step Reasoning with Language Models - [[2305.14934](https://arxiv.org/abs/2305.14934)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14934.md)].
- Leveraging GPT-4 for Automatic Translation Post-Editing - [[2305.14878](https://arxiv.org/abs/2305.14878)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14878.md)].
- PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and   Compositional Experts - [[2305.14839](https://arxiv.org/abs/2305.14839)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14839.md)].
- Adapting Language Models to Compress Contexts - [[2305.14788](https://arxiv.org/abs/2305.14788)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14788.md)].
- Instructions as Backdoors: Backdoor Vulnerabilities of Instruction   Tuning for Large Language Models - [[2305.14710](https://arxiv.org/abs/2305.14710)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14710.md)].
- ExpertPrompting: Instructing Large Language Models to be Distinguished   Experts - [[2305.14688](https://arxiv.org/abs/2305.14688)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14688.md)].
- Barkour: Benchmarking Animal-level Agility with Quadruped Robots - [[2305.14654](https://arxiv.org/abs/2305.14654)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14654.md)].
- Enabling Large Language Models to Generate Text with Citations - [[2305.14627](https://arxiv.org/abs/2305.14627)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14627.md)].
- Think Before You Act: Decision Transformers with Internal Working Memory - [[2305.16338](https://arxiv.org/abs/2305.16338)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16338.md)].
- Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy - [[2305.14596](https://arxiv.org/abs/2305.14596)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14596.md)].
- PEARL: Prompting Large Language Models to Plan and Execute Actions Over   Long Documents - [[2305.14564](https://arxiv.org/abs/2305.14564)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14564.md)].
- LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond - [[2305.14540](https://arxiv.org/abs/2305.14540)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14540.md)].
- Self-Polish: Enhance Reasoning in Large Language Models via Problem   Refinement - [[2305.14497](https://arxiv.org/abs/2305.14497)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14497.md)].
- Video Prediction Models as Rewards for Reinforcement Learning - [[2305.14343](https://arxiv.org/abs/2305.14343)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14343.md)].
- Automatic Model Selection with Large Language Models for Reasoning - [[2305.14333](https://arxiv.org/abs/2305.14333)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14333.md)].
- Improving Factuality and Reasoning in Language Models through Multiagent   Debate - [[2305.14325](https://arxiv.org/abs/2305.14325)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14325.md)].
- ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large   Language Models - [[2305.14323](https://arxiv.org/abs/2305.14323)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14323.md)].
- RET-LLM: Towards a General Read-Write Memory for Large Language Models - [[2305.14322](https://arxiv.org/abs/2305.14322)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14322.md)].
- CREATOR: Disentangling Abstract and Concrete Reasonings of Large   Language Models through Tool Creation - [[2305.14318](https://arxiv.org/abs/2305.14318)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14318.md)].
- QLoRA: Efficient Finetuning of Quantized LLMs - [[2305.14314](https://arxiv.org/abs/2305.14314)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14314.md)].
- On Learning to Summarize with Large Language Models as References - [[2305.14239](https://arxiv.org/abs/2305.14239)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14239.md)].
- REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos - [[2305.14236](https://arxiv.org/abs/2305.14236)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14236.md)].
- Enhancing Chat Language Models by Scaling High-quality Instructional   Conversations - [[2305.14233](https://arxiv.org/abs/2305.14233)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14233.md)].
- Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks - [[2305.14201](https://arxiv.org/abs/2305.14201)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14201.md)].
- DetGPT: Detect What You Need via Reasoning - [[2305.14167](https://arxiv.org/abs/2305.14167)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.14167.md)].
- Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video   Infilling and Prediction - [[2305.13903](https://arxiv.org/abs/2305.13903)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13903.md)].
- PaD: Program-aided Distillation Specializes Large Models in Reasoning - [[2305.13888](https://arxiv.org/abs/2305.13888)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13888.md)].
- OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities - [[2305.16334](https://arxiv.org/abs/2305.16334)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.16334.md)].
- Control-A-Video: Controllable Text-to-Video Generation with Diffusion   Models - [[2305.13840](https://arxiv.org/abs/2305.13840)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13840.md)].
- Can Large Language Models Infer and Disagree Like Humans? - [[2305.13788](https://arxiv.org/abs/2305.13788)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13788.md)].
- Perception Test: A Diagnostic Benchmark for Multimodal Video Models - [[2305.13786](https://arxiv.org/abs/2305.13786)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13786.md)].
- Images in Language Space: Exploring the Suitability of Large Language   Models for Vision &amp; Language Tasks - [[2305.13782](https://arxiv.org/abs/2305.13782)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13782.md)].
- Aligning Large Language Models through Synthetic Feedback - [[2305.13735](https://arxiv.org/abs/2305.13735)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13735.md)].
- Text Is All You Need: Learning Language Representations for Sequential   Recommendation - [[2305.13731](https://arxiv.org/abs/2305.13731)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13731.md)].
- Prompting and Evaluating Large Language Models for Proactive Dialogues:   Clarification, Target-guided, and Non-collaboration - [[2305.13626](https://arxiv.org/abs/2305.13626)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13626.md)].
- Transformer-based Vulnerability Detection in Code at EditTime:   Zero-shot, Few-shot, or Fine-tuning? - [[2306.01754](https://arxiv.org/abs/2306.01754)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01754.md)].
- Enhancing Detail Preservation for Customized Text-to-Image Generation: A   Regularization-Free Approach - [[2305.13579](https://arxiv.org/abs/2305.13579)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13579.md)].
- How Language Model Hallucinations Can Snowball - [[2305.13534](https://arxiv.org/abs/2305.13534)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13534.md)].
- RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text - [[2305.13304](https://arxiv.org/abs/2305.13304)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13304.md)].
- Training Diffusion Models with Reinforcement Learning - [[2305.13301](https://arxiv.org/abs/2305.13301)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13301.md)].
- Interactive Natural Language Processing - [[2305.13246](https://arxiv.org/abs/2305.13246)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13246.md)].
- LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities   and Future Opportunities - [[2305.13168](https://arxiv.org/abs/2305.13168)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13168.md)].
- ControlVideo: Training-free Controllable Text-to-Video Generation - [[2305.13077](https://arxiv.org/abs/2305.13077)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13077.md)].
- Making Language Models Better Tool Learners with Execution Feedback - [[2305.13068](https://arxiv.org/abs/2305.13068)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13068.md)].
- AudioToken: Adaptation of Text-Conditioned Diffusion Models for   Audio-to-Image Generation - [[2305.13050](https://arxiv.org/abs/2305.13050)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13050.md)].
- RWKV: Reinventing RNNs for the Transformer Era - [[2305.13048](https://arxiv.org/abs/2305.13048)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13048.md)].
- Textually Pretrained Speech Language Models - [[2305.13009](https://arxiv.org/abs/2305.13009)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.13009.md)].
- Boosting Long-tailed Object Detection via Step-wise Learning on   Smooth-tail Data - [[2305.12833](https://arxiv.org/abs/2305.12833)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.12833.md)].
- Keeping Up with the Language Models: Robustness-Bias Interplay in NLI   Data and Models - [[2305.12620](https://arxiv.org/abs/2305.12620)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.12620.md)].
- GMD: Controllable Human Motion Synthesis via Guided Diffusion Models - [[2305.12577](https://arxiv.org/abs/2305.12577)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.12577.md)].
- Conditional Generative Modeling is All You Need for Marked Temporal   Point Processes - [[2305.12569](https://arxiv.org/abs/2305.12569)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.12569.md)].
- Augmenting Autotelic Agents with Large Language Models - [[2305.12487](https://arxiv.org/abs/2305.12487)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.12487.md)].
- Advancing Referring Expression Segmentation Beyond Single Image - [[2305.12452](https://arxiv.org/abs/2305.12452)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.12452.md)].
- Collaborative Development of NLP models - [[2305.12219](https://arxiv.org/abs/2305.12219)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.12219.md)].
- CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code   Authoring - [[2305.12050](https://arxiv.org/abs/2305.12050)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.12050.md)].
- OPT-R: Exploring the Role of Explanations in Finetuning and Prompting   for Reasoning Skills of Large Language Models - [[2305.12001](https://arxiv.org/abs/2305.12001)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.12001.md)].
- Exploring the Viability of Synthetic Query Generation for Relevance   Prediction - [[2305.11944](https://arxiv.org/abs/2305.11944)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11944.md)].
- XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented   Languages - [[2305.11938](https://arxiv.org/abs/2305.11938)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11938.md)].
- Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D   Diffusion Probabilistic Models - [[2305.11870](https://arxiv.org/abs/2305.11870)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11870.md)].
- Scaling laws for language encoding models in fMRI - [[2305.11863](https://arxiv.org/abs/2305.11863)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11863.md)].
- Multimodal Web Navigation with Instruction-Finetuned Foundation Models - [[2305.11854](https://arxiv.org/abs/2305.11854)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11854.md)].
- Any-to-Any Generation via Composable Diffusion - [[2305.11846](https://arxiv.org/abs/2305.11846)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11846.md)].
- How Does Generative Retrieval Scale to Millions of Passages? - [[2305.11841](https://arxiv.org/abs/2305.11841)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11841.md)].
- SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage   Leveraging Generative Models - [[2305.11840](https://arxiv.org/abs/2305.11840)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11840.md)].
- Comparing Software Developers with ChatGPT: An Empirical Investigation - [[2305.11837](https://arxiv.org/abs/2305.11837)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11837.md)].
- Pengi: An Audio Language Model for Audio Tasks - [[2305.11834](https://arxiv.org/abs/2305.11834)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11834.md)].
- Cross-Lingual Supervision improves Large Language Models Pre-training - [[2305.11778](https://arxiv.org/abs/2305.11778)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11778.md)].
- Neural Foundations of Mental Simulation: Future Prediction of Latent   Representations on Dynamic Scenes - [[2305.11772](https://arxiv.org/abs/2305.11772)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11772.md)].
- Controlling the Extraction of Memorized Data from Large Language Models   via Prompt-Tuning - [[2305.11759](https://arxiv.org/abs/2305.11759)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11759.md)].
- CRITIC: Large Language Models Can Self-Correct with Tool-Interactive   Critiquing - [[2305.11738](https://arxiv.org/abs/2305.11738)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11738.md)].
- QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set   Operations - [[2305.11694](https://arxiv.org/abs/2305.11694)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11694.md)].
- Learning Global-aware Kernel for Image Harmonization - [[2305.11676](https://arxiv.org/abs/2305.11676)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11676.md)].
- Cinematic Mindscapes: High-quality Video Reconstruction from Brain   Activity - [[2305.11675](https://arxiv.org/abs/2305.11675)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11675.md)].
- Introspective Tips: Large Language Model for In-Context Decision Making - [[2305.11598](https://arxiv.org/abs/2305.11598)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11598.md)].
- Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields - [[2305.11588](https://arxiv.org/abs/2305.11588)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11588.md)].
- ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via   Tool Embeddings - [[2305.11554](https://arxiv.org/abs/2305.11554)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11554.md)].
- Empower Large Language Model to Perform Better on Industrial   Domain-Specific Question Answering - [[2305.11541](https://arxiv.org/abs/2305.11541)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11541.md)].
- RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by   Reversing Chain-of-Thought - [[2305.11499](https://arxiv.org/abs/2305.11499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11499.md)].
- Enhancing Personalized Dialogue Generation with Contrastive Latent   Variables: Combining Sparse and Dense Persona - [[2305.11482](https://arxiv.org/abs/2305.11482)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11482.md)].
- Towards Human-AI Collaborative Urban Science Research Enabled by   Pre-trained Large Language Models - [[2305.11418](https://arxiv.org/abs/2305.11418)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11418.md)].
- Visualizing Linguistic Diversity of Text Datasets Synthesized by Large   Language Models - [[2305.11364](https://arxiv.org/abs/2305.11364)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11364.md)].
- RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent   Geometry and Texture - [[2305.11337](https://arxiv.org/abs/2305.11337)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11337.md)].
- Counterfactuals for Design: A Model-Agnostic Method For Design   Recommendations - [[2305.11308](https://arxiv.org/abs/2305.11308)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11308.md)].
- Towards Collaborative Plan Acquisition through Theory of Mind Modeling   in Situated Dialogue - [[2305.11271](https://arxiv.org/abs/2305.11271)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11271.md)].
- Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions   with Large Language Model - [[2305.11176](https://arxiv.org/abs/2305.11176)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11176.md)].
- VisionLLM: Large Language Model is also an Open-Ended Decoder for   Vision-Centric Tasks - [[2305.11175](https://arxiv.org/abs/2305.11175)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11175.md)].
- Going Denser with Open-Vocabulary Part Segmentation - [[2305.11173](https://arxiv.org/abs/2305.11173)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11173.md)].
- TrueTeacher: Learning Factual Consistency Evaluation with Large Language   Models - [[2305.11171](https://arxiv.org/abs/2305.11171)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11171.md)].
- Evidence of Meaning in Language Models Trained on Programs - [[2305.11169](https://arxiv.org/abs/2305.11169)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11169.md)].
- TOME: A Two-stage Approach for Model-based Retrieval - [[2305.11161](https://arxiv.org/abs/2305.11161)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11161.md)].
- LIMA: Less Is More for Alignment - [[2305.11206](https://arxiv.org/abs/2305.11206)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11206.md)].
- UniControl: A Unified Diffusion Model for Controllable Visual Generation   In the Wild - [[2305.11147](https://arxiv.org/abs/2305.11147)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11147.md)].
- SimOAP: Improve Coherence and Consistency in Persona-based Dialogue   Generation via Over-sampling and Post-evaluation - [[2305.11130](https://arxiv.org/abs/2305.11130)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11130.md)].
- mLongT5: A Multilingual and Efficient Text-To-Text Transformer for   Longer Sequences - [[2305.11129](https://arxiv.org/abs/2305.11129)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11129.md)].
- LLMScore: Unveiling the Power of Large Language Models in Text-to-Image   Synthesis Evaluation - [[2305.11116](https://arxiv.org/abs/2305.11116)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11116.md)].
- PDP: Parameter-free Differentiable Pruning is All You Need - [[2305.11203](https://arxiv.org/abs/2305.11203)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11203.md)].
- DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule   Graphs - [[2309.03907](https://arxiv.org/abs/2309.03907)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2309.03907.md)].
- Inspecting the Geographical Representativeness of Images from   Text-to-Image Models - [[2305.11080](https://arxiv.org/abs/2305.11080)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11080.md)].
- SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for   Slice-Direction Continuous Cross-Modality Medical Image Segmentation - [[2305.11012](https://arxiv.org/abs/2305.11012)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11012.md)].
- SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal   Conversational Abilities - [[2305.11000](https://arxiv.org/abs/2305.11000)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.11000.md)].
- Drag Your GAN: Interactive Point-based Manipulation on the Generative   Image Manifold - [[2305.10973](https://arxiv.org/abs/2305.10973)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10973.md)].
- An Android Robot Head as Embodied Conversational Agent - [[2305.10945](https://arxiv.org/abs/2305.10945)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10945.md)].
- A Generalist Dynamics Model for Control - [[2305.10912](https://arxiv.org/abs/2305.10912)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10912.md)].
- VideoFactory: Swap Attention in Spatiotemporal Diffusions for   Text-to-Video Generation - [[2305.10874](https://arxiv.org/abs/2305.10874)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10874.md)].
- TextDiffuser: Diffusion Models as Text Painters - [[2305.10855](https://arxiv.org/abs/2305.10855)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10855.md)].
- 3D Registration with Maximal Cliques - [[2305.10854](https://arxiv.org/abs/2305.10854)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10854.md)].
- LDM3D: Latent Diffusion Model for 3D - [[2305.10853](https://arxiv.org/abs/2305.10853)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10853.md)].
- GETMusic: Generating Any Music Tracks with a Unified Representation and   Diffusion Framework - [[2305.10841](https://arxiv.org/abs/2305.10841)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10841.md)].
- Listen, Think, and Understand - [[2305.10790](https://arxiv.org/abs/2305.10790)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10790.md)].
- OpenShape: Scaling Up 3D Shape Representation Towards Open-World   Understanding - [[2305.10764](https://arxiv.org/abs/2305.10764)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10764.md)].
- CLAPSpeech: Learning Prosody from Text Context with Contrastive   Language-Audio Pre-training - [[2305.10763](https://arxiv.org/abs/2305.10763)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10763.md)].
- Boost Vision Transformer with GPU-Friendly Sparsity and Quantization - [[2305.10727](https://arxiv.org/abs/2305.10727)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10727.md)].
- Discriminative Diffusion Models as Few-shot Vision and Language Learners - [[2305.10722](https://arxiv.org/abs/2305.10722)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10722.md)].
- Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via   Personalization - [[2305.10701](https://arxiv.org/abs/2305.10701)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10701.md)].
- MolXPT: Wrapping Molecules with Text for Generative Pre-training - [[2305.10688](https://arxiv.org/abs/2305.10688)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10688.md)].
- Language Models Meet World Models: Embodied Experiences Enhance Language   Models - [[2305.10626](https://arxiv.org/abs/2305.10626)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10626.md)].
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models - [[2305.10601](https://arxiv.org/abs/2305.10601)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10601.md)].
- Instruction Tuned Models are Quick Learners - [[2306.05539](https://arxiv.org/abs/2306.05539)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.05539.md)].
- IMAD: IMage-Augmented multi-modal Dialogue - [[2305.10512](https://arxiv.org/abs/2305.10512)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10512.md)].
- FastComposer: Tuning-Free Multi-Subject Image Generation with Localized   Attention - [[2305.10431](https://arxiv.org/abs/2305.10431)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10431.md)].
- Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models - [[2305.10474](https://arxiv.org/abs/2305.10474)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10474.md)].
- DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining - [[2305.10429](https://arxiv.org/abs/2305.10429)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10429.md)].
- SLiC-HF: Sequence Likelihood Calibration with Human Feedback - [[2305.10425](https://arxiv.org/abs/2305.10425)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10425.md)].
- PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering - [[2305.10415](https://arxiv.org/abs/2305.10415)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10415.md)].
- PaLM 2 Technical Report - [[2305.10403](https://arxiv.org/abs/2305.10403)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10403.md)].
- What You See is What You Read? Improving Text-Image Alignment Evaluation - [[2305.10400](https://arxiv.org/abs/2305.10400)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10400.md)].
- Elaborative Simplification as Implicit Questions Under Discussion - [[2305.10387](https://arxiv.org/abs/2305.10387)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10387.md)].
- Evaluating Object Hallucination in Large Vision-Language Models - [[2305.10355](https://arxiv.org/abs/2305.10355)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10355.md)].
- CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo - [[2305.10320](https://arxiv.org/abs/2305.10320)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10320.md)].
- Searching for Needles in a Haystack: On the Role of Incidental   Bilingualism in PaLM's Translation Capability - [[2305.10266](https://arxiv.org/abs/2305.10266)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10266.md)].
- MemoryBank: Enhancing Large Language Models with Long-Term Memory - [[2305.10250](https://arxiv.org/abs/2305.10250)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10250.md)].
- Knowledge-enhanced Mixed-initiative Dialogue System for Emotional   Support Conversations - [[2305.10172](https://arxiv.org/abs/2305.10172)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10172.md)].
- Improving Language Model Negotiation with Self-Play and In-Context   Learning from AI Feedback - [[2305.10142](https://arxiv.org/abs/2305.10142)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10142.md)].
- Transfer Learning for Fine-grained Classification Using Semi-supervised   Learning and Visual Transformers - [[2305.10018](https://arxiv.org/abs/2305.10018)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10018.md)].
- DinoSR: Self-Distillation and Online Clustering for Self-supervised   Speech Representation Learning - [[2305.10005](https://arxiv.org/abs/2305.10005)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10005.md)].
- Dual Semantic Knowledge Composed Multimodal Dialog Systems - [[2305.09990](https://arxiv.org/abs/2305.09990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09990.md)].
- Smart Word Suggestions for Writing Assistance - [[2305.09975](https://arxiv.org/abs/2305.09975)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09975.md)].
- Towards Generalist Robots: A Promising Paradigm via Generative   Simulation - [[2305.10455](https://arxiv.org/abs/2305.10455)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10455.md)].
- Explaining black box text modules in natural language with language   models - [[2305.09863](https://arxiv.org/abs/2305.09863)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09863.md)].
- CoEdIT: Text Editing by Task-Specific Instruction Tuning - [[2305.09857](https://arxiv.org/abs/2305.09857)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09857.md)].
- ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to   Support Human-AI Scientific Writing - [[2305.09770](https://arxiv.org/abs/2305.09770)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09770.md)].
- Application-Agnostic Language Modeling for On-Device ASR - [[2305.09764](https://arxiv.org/abs/2305.09764)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09764.md)].
- NerfBridge: Bringing Real-time, Online Neural Radiance Field Training to   Robotics - [[2305.09761](https://arxiv.org/abs/2305.09761)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09761.md)].
- A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them   In Zero Shot - [[2305.09758](https://arxiv.org/abs/2305.09758)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09758.md)].
- Understanding 3D Object Interaction from a Single Image - [[2305.09664](https://arxiv.org/abs/2305.09664)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09664.md)].
- Make-An-Animation: Large-Scale Text-conditional 3D Human Motion   Generation - [[2305.09662](https://arxiv.org/abs/2305.09662)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09662.md)].
- FitMe: Deep Photorealistic 3D Morphable Model Avatars - [[2305.09641](https://arxiv.org/abs/2305.09641)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09641.md)].
- SoundStorm: Efficient Parallel Audio Generation - [[2305.09636](https://arxiv.org/abs/2305.09636)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09636.md)].
- Towards Expert-Level Medical Question Answering with Large Language   Models - [[2305.09617](https://arxiv.org/abs/2305.09617)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09617.md)].
- Large Language Models are Built-in Autoregressive Search Engines - [[2305.09612](https://arxiv.org/abs/2305.09612)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09612.md)].
- Cooperation Is All You Need - [[2305.10449](https://arxiv.org/abs/2305.10449)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10449.md)].
- AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation - [[2305.09515](https://arxiv.org/abs/2305.09515)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09515.md)].
- Online Continual Learning Without the Storage Constraint - [[2305.09253](https://arxiv.org/abs/2305.09253)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09253.md)].
- Dual-Alignment Pre-training for Cross-lingual Sentence Embedding - [[2305.09148](https://arxiv.org/abs/2305.09148)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09148.md)].
- Pre-Training to Learn in Context - [[2305.09137](https://arxiv.org/abs/2305.09137)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09137.md)].
- SuSana Distancia is all you need: Enforcing class separability in metric   learning via two novel distance-based loss functions for few-shot image   classification - [[2305.09062](https://arxiv.org/abs/2305.09062)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.09062.md)].
- MV-Map: Offboard HD-Map Generation with Multi-view Consistency - [[2305.08851](https://arxiv.org/abs/2305.08851)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08851.md)].
- Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts - [[2305.08850](https://arxiv.org/abs/2305.08850)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08850.md)].
- Small Models are Valuable Plug-ins for Large Language Models - [[2305.08848](https://arxiv.org/abs/2305.08848)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08848.md)].
- RL4F: Generating Natural Language Feedback with Reinforcement Learning   for Repairing Model Outputs - [[2305.08844](https://arxiv.org/abs/2305.08844)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08844.md)].
- Straightening Out the Straight-Through Estimator: Overcoming   Optimization Challenges in Vector Quantized Networks - [[2305.08842](https://arxiv.org/abs/2305.08842)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08842.md)].
- Attacking Perceptual Similarity Metrics - [[2305.08840](https://arxiv.org/abs/2305.08840)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08840.md)].
- AutoRecon: Automated 3D Object Discovery and Reconstruction - [[2305.08810](https://arxiv.org/abs/2305.08810)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08810.md)].
- Interpretability at Scale: Identifying Causal Mechanisms in Alpaca - [[2305.08809](https://arxiv.org/abs/2305.08809)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08809.md)].
- A Reproducible Extraction of Training Images from Diffusion Models - [[2305.08694](https://arxiv.org/abs/2305.08694)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08694.md)].
- Natural Language Decomposition and Interpretation of Complex Utterances - [[2305.08677](https://arxiv.org/abs/2305.08677)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08677.md)].
- DarkBERT: A Language Model for the Dark Side of the Internet - [[2305.08596](https://arxiv.org/abs/2305.08596)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08596.md)].
- Common Diffusion Noise Schedules and Sample Steps are Flawed - [[2305.08891](https://arxiv.org/abs/2305.08891)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08891.md)].
- TESS: Text-to-Text Self-Conditioned Simplex Diffusion - [[2305.08379](https://arxiv.org/abs/2305.08379)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08379.md)].
- Symbol tuning improves in-context learning in language models - [[2305.08298](https://arxiv.org/abs/2305.08298)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08298.md)].
- ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding - [[2305.08275](https://arxiv.org/abs/2305.08275)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08275.md)].
- A Cognitive Stimulation Dialogue System with Multi-source Knowledge   Fusion for Elders with Cognitive Impairment - [[2305.08200](https://arxiv.org/abs/2305.08200)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.08200.md)].
- GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content - [[2305.07969](https://arxiv.org/abs/2305.07969)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07969.md)].
- Leveraging Large Language Models in Conversational Recommender Systems - [[2305.07961](https://arxiv.org/abs/2305.07961)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07961.md)].
- CodeT5+: Open Code Large Language Models for Code Understanding and   Generation - [[2305.07922](https://arxiv.org/abs/2305.07922)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07922.md)].
- Improving Small Language Models on PubMedQA via Generative Data   Augmentation - [[2305.07804](https://arxiv.org/abs/2305.07804)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07804.md)].
- ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain   Dialogue Systems - [[2305.07797](https://arxiv.org/abs/2305.07797)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07797.md)].
- TinyStories: How Small Can Language Models Be and Still Speak Coherent   English? - [[2305.07759](https://arxiv.org/abs/2305.07759)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07759.md)].
- In Search of Verifiability: Explanations Rarely Enable Complementary   Performance in AI-Advised Decision Making - [[2305.07722](https://arxiv.org/abs/2305.07722)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07722.md)].
- What are the Desired Characteristics of Calibration Sets? Identifying   Correlates on Long Form Scientific Summarization - [[2305.07615](https://arxiv.org/abs/2305.07615)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07615.md)].
- Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large   Language Model Recommendation - [[2305.07609](https://arxiv.org/abs/2305.07609)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07609.md)].
- Measuring Progress in Fine-grained Vision-and-Language Understanding - [[2305.07558](https://arxiv.org/abs/2305.07558)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07558.md)].
- BlendFields: Few-Shot Example-Driven Facial Modeling - [[2305.07514](https://arxiv.org/abs/2305.07514)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07514.md)].
- ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced   MiniGPT-4 - [[2305.07490](https://arxiv.org/abs/2305.07490)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07490.md)].
- Surfacing Biases in Large Language Models using Contrastive Input   Decoding - [[2305.07378](https://arxiv.org/abs/2305.07378)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07378.md)].
- Better speech synthesis through scaling - [[2305.07243](https://arxiv.org/abs/2305.07243)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07243.md)].
- MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition - [[2305.07214](https://arxiv.org/abs/2305.07214)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07214.md)].
- MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers - [[2305.07185](https://arxiv.org/abs/2305.07185)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07185.md)].
- Masked Audio Text Encoders are Effective Multi-Modal Rescorers - [[2305.07677](https://arxiv.org/abs/2305.07677)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07677.md)].
- Towards best practices in AGI safety and governance: A survey of expert   opinion - [[2305.07153](https://arxiv.org/abs/2305.07153)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07153.md)].
- EfficientViT: Memory Efficient Vision Transformer with Cascaded Group   Attention - [[2305.07027](https://arxiv.org/abs/2305.07027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07027.md)].
- Simple Token-Level Confidence Improves Caption Correctness - [[2305.07021](https://arxiv.org/abs/2305.07021)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07021.md)].
- An Inverse Scaling Law for CLIP Training - [[2305.07017](https://arxiv.org/abs/2305.07017)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07017.md)].
- Exploiting Diffusion Prior for Real-World Image Super-Resolution - [[2305.07015](https://arxiv.org/abs/2305.07015)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07015.md)].
- Region-Aware Pretraining for Open-Vocabulary Object Detection with   Vision Transformers - [[2305.07011](https://arxiv.org/abs/2305.07011)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07011.md)].
- Learning the Visualness of Text Using Large Vision-Language Models - [[2305.10434](https://arxiv.org/abs/2305.10434)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.10434.md)].
- Not All Languages Are Created Equal in LLMs: Improving Multilingual   Capability by Cross-Lingual-Thought Prompting - [[2305.07004](https://arxiv.org/abs/2305.07004)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07004.md)].
- Universal Source Separation with Weakly Labelled Data - [[2305.07447](https://arxiv.org/abs/2305.07447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07447.md)].
- CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency   Model - [[2305.06908](https://arxiv.org/abs/2305.06908)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06908.md)].
- A Category-theoretical Meta-analysis of Definitions of Disentanglement - [[2305.06886](https://arxiv.org/abs/2305.06886)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06886.md)].
- Optimizing Memory Mapping Using Deep Reinforcement Learning - [[2305.07440](https://arxiv.org/abs/2305.07440)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.07440.md)].
- Distracting Downpour: Adversarial Weather Attacks for Motion Estimation - [[2305.06716](https://arxiv.org/abs/2305.06716)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06716.md)].
- V2Meow: Meowing to the Visual Beat via Music Generation - [[2305.06594](https://arxiv.org/abs/2305.06594)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06594.md)].
- Chain-of-Dictionary Prompting Elicits Translation in Large Language   Models - [[2305.06575](https://arxiv.org/abs/2305.06575)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06575.md)].
- How to Index Item IDs for Recommendation Foundation Models - [[2305.06569](https://arxiv.org/abs/2305.06569)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06569.md)].
- Segment and Track Anything - [[2305.06558](https://arxiv.org/abs/2305.06558)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06558.md)].
- Domain Incremental Lifelong Learning in an Open World - [[2305.06555](https://arxiv.org/abs/2305.06555)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06555.md)].
- InstructBLIP: Towards General-purpose Vision-Language Models with   Instruction Tuning - [[2305.06500](https://arxiv.org/abs/2305.06500)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06500.md)].
- Do LLMs Understand User Preferences? Evaluating LLMs On User Rating   Prediction - [[2305.06474](https://arxiv.org/abs/2305.06474)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06474.md)].
- Perpetual Humanoid Control for Real-time Simulated Avatars - [[2305.06456](https://arxiv.org/abs/2305.06456)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06456.md)].
- Bot or Human? Detecting ChatGPT Imposters with A Single Question - [[2305.06424](https://arxiv.org/abs/2305.06424)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06424.md)].
- LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits   Siamese-BLOOM - [[2305.06404](https://arxiv.org/abs/2305.06404)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06404.md)].
- HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion - [[2305.06356](https://arxiv.org/abs/2305.06356)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06356.md)].
- VideoChat: Chat-Centric Video Understanding - [[2305.06355](https://arxiv.org/abs/2305.06355)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06355.md)].
- Reconstructing Animatable Categories from Videos - [[2305.06351](https://arxiv.org/abs/2305.06351)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06351.md)].
- Alternating Gradient Descent and Mixture-of-Experts for Integrated   Multimodal Perception - [[2305.06324](https://arxiv.org/abs/2305.06324)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06324.md)].
- Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3   (with Varying Success) - [[2305.06299](https://arxiv.org/abs/2305.06299)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06299.md)].
- Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era - [[2305.06131](https://arxiv.org/abs/2305.06131)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06131.md)].
- The Compositional Structure of Bayesian Inference - [[2305.06112](https://arxiv.org/abs/2305.06112)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06112.md)].
- Relightify: Relightable 3D Faces from a Single Image via Diffusion   Models - [[2305.06077](https://arxiv.org/abs/2305.06077)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06077.md)].
- GPT Models Meet Robotic Applications: Co-Speech Gesturing Chat System - [[2306.01741](https://arxiv.org/abs/2306.01741)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.01741.md)].
- Privacy-Preserving Recommender Systems with Synthetic Query Generation   using Differentially Private Large Language Models - [[2305.05973](https://arxiv.org/abs/2305.05973)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05973.md)].
- Fast Distributed Inference Serving for Large Language Models - [[2305.05920](https://arxiv.org/abs/2305.05920)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05920.md)].
- SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation   of Point Clouds - [[2305.05873](https://arxiv.org/abs/2305.05873)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05873.md)].
- Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text   Analytics? An Examination on Several Typical Tasks - [[2305.05862](https://arxiv.org/abs/2305.05862)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05862.md)].
- Sketching the Future (STF): Applying Conditional Control Techniques to   Text-to-Video Models - [[2305.05845](https://arxiv.org/abs/2305.05845)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05845.md)].
- DexArt: Benchmarking Generalizable Dexterous Manipulation with   Articulated Objects - [[2305.05706](https://arxiv.org/abs/2305.05706)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05706.md)].
- InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT   Beyond Language - [[2305.05662](https://arxiv.org/abs/2305.05662)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05662.md)].
- TidyBot: Personalized Robot Assistance with Large Language Models - [[2305.05658](https://arxiv.org/abs/2305.05658)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05658.md)].
- Towards Building the Federated GPT: Federated Instruction Tuning - [[2305.05644](https://arxiv.org/abs/2305.05644)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05644.md)].
- AudioSlots: A slot-centric generative model for audio separation - [[2305.05591](https://arxiv.org/abs/2305.05591)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05591.md)].
- Recursions Are All You Need: Towards Efficient Deep Unfolding Networks - [[2305.05505](https://arxiv.org/abs/2305.05505)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05505.md)].
- WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset - [[2305.05432](https://arxiv.org/abs/2305.05432)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05432.md)].
- Large Language Model Programs - [[2305.05364](https://arxiv.org/abs/2305.05364)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05364.md)].
- Dialogue Planning via Brownian Bridge Stochastic Process for   Goal-directed Proactive Dialogue - [[2305.05290](https://arxiv.org/abs/2305.05290)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05290.md)].
- Distilling Script Knowledge from Large Language Models for Constrained   Language Planning - [[2305.05252](https://arxiv.org/abs/2305.05252)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05252.md)].
- SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with   Large Language Models - [[2305.05189](https://arxiv.org/abs/2305.05189)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05189.md)].
- FrugalGPT: How to Use Large Language Models While Reducing Cost and   Improving Performance - [[2305.05176](https://arxiv.org/abs/2305.05176)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05176.md)].
- Knowledge-enhanced Agents for Interactive Text Games - [[2305.05091](https://arxiv.org/abs/2305.05091)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05091.md)].
- Multi-Task End-to-End Training Improves Conversational Recommendation - [[2305.06218](https://arxiv.org/abs/2305.06218)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.06218.md)].
- Recommender Systems with Generative Retrieval - [[2305.05065](https://arxiv.org/abs/2305.05065)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05065.md)].
- NerfAcc: Efficient Sampling Accelerates NeRFs - [[2305.04966](https://arxiv.org/abs/2305.04966)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04966.md)].
- A Drop of Ink Makes a Million Think: The Spread of False Information in   Large Language Models - [[2305.04812](https://arxiv.org/abs/2305.04812)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04812.md)].
- MultiModal-GPT: A Vision and Language Model for Dialogue with Humans - [[2305.04790](https://arxiv.org/abs/2305.04790)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04790.md)].
- AvatarReX: Real-time Expressive Full-body Avatars - [[2305.04789](https://arxiv.org/abs/2305.04789)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04789.md)].
- Controllable Light Diffusion for Portraits - [[2305.04745](https://arxiv.org/abs/2305.04745)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04745.md)].
- Code Execution with Pre-trained Language Models - [[2305.05383](https://arxiv.org/abs/2305.05383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.05383.md)].
- LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed   Multi-Label Visual Recognition - [[2305.04536](https://arxiv.org/abs/2305.04536)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04536.md)].
- Video Object Segmentation in Panoptic Wild Scenes - [[2305.04470](https://arxiv.org/abs/2305.04470)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04470.md)].
- Locally Attentional SDF Diffusion for Controllable 3D Shape Generation - [[2305.04461](https://arxiv.org/abs/2305.04461)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04461.md)].
- Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion   Models - [[2305.04441](https://arxiv.org/abs/2305.04441)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04441.md)].
- A Variational Perspective on Solving Inverse Problems with Diffusion   Models - [[2305.04391](https://arxiv.org/abs/2305.04391)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04391.md)].
- Language Models Don't Always Say What They Think: Unfaithful   Explanations in Chain-of-Thought Prompting - [[2305.04388](https://arxiv.org/abs/2305.04388)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04388.md)].
- Unified Demonstration Retriever for In-Context Learning - [[2305.04320](https://arxiv.org/abs/2305.04320)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04320.md)].
- Multi-Space Neural Radiance Fields - [[2305.04268](https://arxiv.org/abs/2305.04268)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04268.md)].
- Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing   Important Tokens - [[2305.04241](https://arxiv.org/abs/2305.04241)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04241.md)].
- Text-to-Image Diffusion Models can be Easily Backdoored through   Multimodal Data Poisoning - [[2305.04175](https://arxiv.org/abs/2305.04175)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04175.md)].
- X-LLM: Bootstrapping Advanced Large Language Models by Treating   Multi-Modalities as Foreign Languages - [[2305.04160](https://arxiv.org/abs/2305.04160)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04160.md)].
- Exploring Human-Like Translation Strategy with Large Language Models - [[2305.04118](https://arxiv.org/abs/2305.04118)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04118.md)].
- Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning   by Large Language Models - [[2305.04091](https://arxiv.org/abs/2305.04091)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.04091.md)].
- Pre-training Language Model as a Multi-perspective Course Learner - [[2305.03981](https://arxiv.org/abs/2305.03981)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03981.md)].
- Residual Prompt Tuning: Improving Prompt Tuning with Residual   Reparameterization - [[2305.03937](https://arxiv.org/abs/2305.03937)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03937.md)].
- Otter: A Multi-Modal Model with In-Context Instruction Tuning - [[2305.03726](https://arxiv.org/abs/2305.03726)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03726.md)].
- Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head   Videos - [[2305.03713](https://arxiv.org/abs/2305.03713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03713.md)].
- LMEye: An Interactive Perception Network for Large Language Models - [[2305.03701](https://arxiv.org/abs/2305.03701)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03701.md)].
- Vera: A General-Purpose Plausibility Estimation Model for Commonsense   Statements - [[2305.03695](https://arxiv.org/abs/2305.03695)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03695.md)].
- Mining bias-target Alignment from Voronoi Cells - [[2305.03691](https://arxiv.org/abs/2305.03691)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03691.md)].
- COLA: A Benchmark for Compositional Text-to-image Retrieval - [[2305.03689](https://arxiv.org/abs/2305.03689)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03689.md)].
- A Suite of Generative Tasks for Multi-Level Multimodal Webpage   Understanding - [[2305.03668](https://arxiv.org/abs/2305.03668)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03668.md)].
- Query Expansion by Prompting Large Language Models - [[2305.03653](https://arxiv.org/abs/2305.03653)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03653.md)].
- T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large   Language Model Signals for Science Question Answering - [[2305.03453](https://arxiv.org/abs/2305.03453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03453.md)].
- TransESC: Smoothing Emotional Support Conversation via Turn-Level State   Transition - [[2305.03296](https://arxiv.org/abs/2305.03296)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03296.md)].
- Composite Motion Learning with Task Control - [[2305.03286](https://arxiv.org/abs/2305.03286)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03286.md)].
- Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework - [[2305.03268](https://arxiv.org/abs/2305.03268)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03268.md)].
- AttentionViz: A Global View of Transformer Attention - [[2305.03210](https://arxiv.org/abs/2305.03210)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03210.md)].
- Can LLM Already Serve as A Database Interface? A BIg Bench for   Large-Scale Database Grounded Text-to-SQLs - [[2305.03111](https://arxiv.org/abs/2305.03111)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03111.md)].
- ZipIt! Merging Models from Different Tasks without Training - [[2305.03053](https://arxiv.org/abs/2305.03053)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03053.md)].
- Tracking through Containers and Occluders in the Wild - [[2305.03052](https://arxiv.org/abs/2305.03052)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03052.md)].
- Controllable Visual-Tactile Synthesis - [[2305.03051](https://arxiv.org/abs/2305.03051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03051.md)].
- NeuralEditor: Editing Neural Radiance Fields via Manipulating Point   Clouds - [[2305.03049](https://arxiv.org/abs/2305.03049)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03049.md)].
- Personalize Segment Anything Model with One Shot - [[2305.03048](https://arxiv.org/abs/2305.03048)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03048.md)].
- Principle-Driven Self-Alignment of Language Models from Scratch with   Minimal Human Supervision - [[2305.03047](https://arxiv.org/abs/2305.03047)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03047.md)].
- Single-Shot Implicit Morphable Faces with Consistent Texture   Parameterization - [[2305.03043](https://arxiv.org/abs/2305.03043)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03043.md)].
- TUVF: Learning Generalizable Texture UV Radiance Fields - [[2305.03040](https://arxiv.org/abs/2305.03040)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03040.md)].
- NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads - [[2305.03027](https://arxiv.org/abs/2305.03027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03027.md)].
- Diffusion Explainer: Visual Explanation for Text-to-image Stable   Diffusion - [[2305.03509](https://arxiv.org/abs/2305.03509)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03509.md)].
- Masked Trajectory Models for Prediction, Representation, and Control - [[2305.02968](https://arxiv.org/abs/2305.02968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02968.md)].
- BranchNorm: Robustly Scaling Extremely Deep Transformers - [[2305.02790](https://arxiv.org/abs/2305.02790)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02790.md)].
- A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects - [[2305.02750](https://arxiv.org/abs/2305.02750)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02750.md)].
- Real-Time Neural Appearance Models - [[2305.02678](https://arxiv.org/abs/2305.02678)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02678.md)].
- Caption Anything: Interactive Image Description with Diverse Multimodal   Controls - [[2305.02677](https://arxiv.org/abs/2305.02677)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02677.md)].
- Learning Language-Specific Layers for Multilingual Machine Translation - [[2305.02665](https://arxiv.org/abs/2305.02665)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02665.md)].
- Semantically Structured Image Compression via Irregular Group-Based   Decoupling - [[2305.02586](https://arxiv.org/abs/2305.02586)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02586.md)].
- Should ChatGPT and Bard Share Revenue with Their Data Providers? A New   Business Model for the AI Era - [[2305.02555](https://arxiv.org/abs/2305.02555)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02555.md)].
- FormNetV2: Multimodal Graph Contrastive Learning for Form Document   Information Extraction - [[2305.02549](https://arxiv.org/abs/2305.02549)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02549.md)].
- AutoML-GPT: Automatic Machine Learning with GPT - [[2305.02499](https://arxiv.org/abs/2305.02499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02499.md)].
- ChatGPT-steered Editing Instructor for Customization of Abstractive   Summarization - [[2305.02483](https://arxiv.org/abs/2305.02483)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02483.md)].
- Shap-E: Generating Conditional 3D Implicit Functions - [[2305.02463](https://arxiv.org/abs/2305.02463)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02463.md)].
- Cheaply Evaluating Inference Efficiency Metrics for Autoregressive   Transformer APIs - [[2305.02440](https://arxiv.org/abs/2305.02440)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02440.md)].
- Plan, Eliminate, and Track -- Language Models are Good Teachers for   Embodied Agents - [[2305.02412](https://arxiv.org/abs/2305.02412)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02412.md)].
- Generating Synthetic Documents for Cross-Encoder Re-Rankers: A   Comparative Study of ChatGPT and Human Experts - [[2305.02320](https://arxiv.org/abs/2305.02320)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02320.md)].
- Visual Chain of Thought: Bridging Logical Gaps with Multimodal   Infillings - [[2305.02317](https://arxiv.org/abs/2305.02317)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02317.md)].
- Uncovering ChatGPT's Capabilities in Recommender Systems - [[2305.02182](https://arxiv.org/abs/2305.02182)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02182.md)].
- Zero-Shot Listwise Document Reranking with a Large Language Model - [[2305.02156](https://arxiv.org/abs/2305.02156)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02156.md)].
- Multimodal Procedural Planning via Dual Text-Image Prompting - [[2305.01795](https://arxiv.org/abs/2305.01795)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.01795.md)].
- Automated Code generation for Information Technology Tasks in YAML   through Large Language Models - [[2305.02783](https://arxiv.org/abs/2305.02783)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.02783.md)].
- Stars Are All You Need: A Distantly Supervised Pyramid Network for   Document-Level End-to-End Sentiment Analysis - [[2305.01710](https://arxiv.org/abs/2305.01710)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.01710.md)].
- TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion   Synthesis - [[2305.00976](https://arxiv.org/abs/2305.00976)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.00976.md)].
- Unlimiformer: Long-Range Transformers with Unlimited Length Input - [[2305.01625](https://arxiv.org/abs/2305.01625)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.01625.md)].
- Transfer Visual Prompt Generator across LLMs - [[2305.01278](https://arxiv.org/abs/2305.01278)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.01278.md)].
- The Role of Summarization in Generative Agents: A Preliminary   Perspective - [[2305.01253](https://arxiv.org/abs/2305.01253)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.01253.md)].
- ArK: Augmented Reality with Knowledge Interactive Emergent Ability - [[2305.00970](https://arxiv.org/abs/2305.00970)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.00970.md)].
- Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural   Language Generation - [[2305.00955](https://arxiv.org/abs/2305.00955)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.00955.md)].
- Hypernuclear event detection in the nuclear emulsion with Monte Carlo   simulation and machine learning - [[2305.0884](https://arxiv.org/abs/2305.0884)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.0884.md)].
- Learning to Reason and Memorize with Self-Notes - [[2305.00833](https://arxiv.org/abs/2305.00833)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.00833.md)].
- Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation - [[2305.00673](https://arxiv.org/abs/2305.00673)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.00673.md)].
- Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding - [[2305.00633](https://arxiv.org/abs/2305.00633)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.00633.md)].

### April 2023
- TALLRec: An Effective and Efficient Tuning Framework to Align Large   Language Model with Recommendation - [[2305.00447](https://arxiv.org/abs/2305.00447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.00447.md)].
- LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model - [[2304.15010](https://arxiv.org/abs/2304.15010)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.15010.md)].
- Topic-oriented Adversarial Attacks against Black-box Neural Ranking   Models - [[2304.14867](https://arxiv.org/abs/2304.14867)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14867.md)].
- A Unified Generative Retriever for Knowledge-Intensive Language Tasks   via Prompt Learning - [[2304.14856](https://arxiv.org/abs/2304.14856)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14856.md)].
- IMP: Iterative Matching and Pose Estimation with Adaptive Pooling - [[2304.14837](https://arxiv.org/abs/2304.14837)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14837.md)].
- Multivariate Representation Learning for Information Retrieval - [[2304.14522](https://arxiv.org/abs/2304.14522)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14522.md)].
- Framing the News:From Human Perception to Large Language Model   Inferences - [[2304.14456](https://arxiv.org/abs/2304.14456)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14456.md)].
- ChatVideo: A Tracklet-centric Multimodal and Versatile Video   Understanding System - [[2304.14407](https://arxiv.org/abs/2304.14407)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14407.md)].
- Large Language Models are Strong Zero-Shot Retriever - [[2304.14233](https://arxiv.org/abs/2304.14233)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14233.md)].
- mPLUG-Owl: Modularization Empowers Large Language Models with   Multimodality - [[2304.14178](https://arxiv.org/abs/2304.14178)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14178.md)].
- Categorification of Group Equivariant Neural Networks - [[2304.14144](https://arxiv.org/abs/2304.14144)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14144.md)].
- ChatLog: Recording and Analyzing ChatGPT Across Time - [[2304.14106](https://arxiv.org/abs/2304.14106)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14106.md)].
- Learning Human-Human Interactions in Images from Weak Textual   Supervision - [[2304.14104](https://arxiv.org/abs/2304.14104)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.14104.md)].
- Is a prompt and a few samples all you need? Using GPT-4 for data   augmentation in low-resource classification tasks - [[2304.13861](https://arxiv.org/abs/2304.13861)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.13861.md)].
- Multi-Party Chat: Conversational Agents in Group Settings with Humans   and Models - [[2304.13835](https://arxiv.org/abs/2304.13835)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.13835.md)].
- Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond - [[2304.13712](https://arxiv.org/abs/2304.13712)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.13712.md)].
- Multimodal Grounding for Embodied AI via Augmented Reality Headsets for   Natural Language Driven Task Planning - [[2304.13676](https://arxiv.org/abs/2304.13676)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.13676.md)].
- Unleashing Infinite-Length Input Capacity for Large-scale Language   Models with Self-Controlled Memory System - [[2304.13343](https://arxiv.org/abs/2304.13343)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.13343.md)].
- EverLight: Indoor-Outdoor Editable HDR Lighting Estimation - [[2304.13207](https://arxiv.org/abs/2304.13207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.13207.md)].
- SAFE: Machine Unlearning With Shard Graphs - [[2304.13169](https://arxiv.org/abs/2304.13169)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.13169.md)].
- Generative Relevance Feedback with Large Language Models - [[2304.13157](https://arxiv.org/abs/2304.13157)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.13157.md)].
- Answering Questions by Meta-Reasoning over Multiple Chains of Thought - [[2304.13007](https://arxiv.org/abs/2304.13007)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.13007.md)].
- Patch-based 3D Natural Scene Generation from a Single Example - [[2304.12670](https://arxiv.org/abs/2304.12670)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.12670.md)].
- Bayesian Optimization Meets Self-Distillation - [[2304.12666](https://arxiv.org/abs/2304.12666)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.12666.md)].
- Proto-Value Networks: Scaling Representation Learning with Auxiliary   Tasks - [[2304.12567](https://arxiv.org/abs/2304.12567)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.12567.md)].
- GlyphDiffusion: Text Generation as Image Generation - [[2304.12519](https://arxiv.org/abs/2304.12519)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.12519.md)].
- On the Challenges of Using Black-Box APIs for Toxicity Evaluation in   Research - [[2304.12397](https://arxiv.org/abs/2304.12397)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.12397.md)].
- Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance   and Color Prediction - [[2304.12372](https://arxiv.org/abs/2304.12372)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.12372.md)].
- WizardLM: Empowering Large Language Models to Follow Complex   Instructions - [[2304.12244](https://arxiv.org/abs/2304.12244)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.12244.md)].
- Track Anything: Segment Anything Meets Videos - [[2304.11968](https://arxiv.org/abs/2304.11968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11968.md)].
- ChatLLM Network: More brains, More intelligence - [[2304.12998](https://arxiv.org/abs/2304.12998)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.12998.md)].
- Universal Domain Adaptation via Compressive Attention Matching - [[2304.11862](https://arxiv.org/abs/2304.11862)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11862.md)].
- Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware   Minimization - [[2304.11823](https://arxiv.org/abs/2304.11823)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11823.md)].
- Score-Based Diffusion Models as Principled Priors for Inverse Imaging - [[2304.11751](https://arxiv.org/abs/2304.11751)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11751.md)].
- SketchXAI: A First Look at Explainability for Human Sketches - [[2304.11744](https://arxiv.org/abs/2304.11744)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11744.md)].
- Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR   Semantic Segmentation - [[2304.11705](https://arxiv.org/abs/2304.11705)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11705.md)].
- SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using   Vision-Language Models - [[2304.11619](https://arxiv.org/abs/2304.11619)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11619.md)].
- LLM+P: Empowering Large Language Models with Optimal Planning   Proficiency - [[2304.11477](https://arxiv.org/abs/2304.11477)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11477.md)].
- Speed Is All You Need: On-Device Acceleration of Large Diffusion Models   via GPU-Aware Optimizations - [[2304.11267](https://arxiv.org/abs/2304.11267)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11267.md)].
- Emergent and Predictable Memorization in Large Language Models - [[2304.11158](https://arxiv.org/abs/2304.11158)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11158.md)].
- ChatABL: Abductive Learning via Natural Language Interaction with   ChatGPT - [[2304.11107](https://arxiv.org/abs/2304.11107)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11107.md)].
- Can GPT-4 Perform Neural Architecture Search? - [[2304.10970](https://arxiv.org/abs/2304.10970)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10970.md)].
- Auditing and Generating Synthetic Data with Controllable Trust   Trade-offs - [[2304.10819](https://arxiv.org/abs/2304.10819)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10819.md)].
- Long-Term Photometric Consistent Novel View Synthesis with Diffusion   Models - [[2304.10700](https://arxiv.org/abs/2304.10700)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10700.md)].
- HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative perception with   vision transformer - [[2304.10628](https://arxiv.org/abs/2304.10628)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10628.md)].
- Learning in Imperfect Environment: Multi-Label Classification with   Long-Tailed Distribution and Partial Labels - [[2304.10539](https://arxiv.org/abs/2304.10539)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10539.md)].
- MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large   Language Models - [[2304.10592](https://arxiv.org/abs/2304.10592)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10592.md)].
- Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3)   Equivariance - [[2304.10528](https://arxiv.org/abs/2304.10528)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10528.md)].
- Phoenix: Democratizing ChatGPT across Languages - [[2304.10453](https://arxiv.org/abs/2304.10453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10453.md)].
- SINC: Spatial Composition of 3D Human Motions for Simultaneous Action   Generation - [[2304.10417](https://arxiv.org/abs/2304.10417)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10417.md)].
- SCoDA: Domain Adaptive Shape Completion for Real Scans - [[2304.10179](https://arxiv.org/abs/2304.10179)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10179.md)].
- Learning Bottleneck Concepts in Image Classification - [[2304.10131](https://arxiv.org/abs/2304.10131)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10131.md)].
- Recognizability Embedding Enhancement for Very Low-Resolution Face   Recognition and Quality Estimation - [[2304.10066](https://arxiv.org/abs/2304.10066)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.10066.md)].
- MARS: Model-agnostic Biased Object Removal without Additional   Supervision for Weakly-Supervised Semantic Segmentation - [[2304.09913](https://arxiv.org/abs/2304.09913)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09913.md)].
- Evaluating Verifiability in Generative Search Engines - [[2304.09848](https://arxiv.org/abs/2304.09848)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09848.md)].
- Chameleon: Plug-and-Play Compositional Reasoning with Large Language   Models - [[2304.09842](https://arxiv.org/abs/2304.09842)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09842.md)].
- MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation - [[2304.09801](https://arxiv.org/abs/2304.09801)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09801.md)].
- DarSwin: Distortion Aware Radial Swin Transformer - [[2304.09691](https://arxiv.org/abs/2304.09691)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09691.md)].
- Is ChatGPT Good at Search? Investigating Large Language Models as   Re-Ranking Agent - [[2304.09542](https://arxiv.org/abs/2304.09542)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09542.md)].
- Network Pruning Spaces - [[2304.09453](https://arxiv.org/abs/2304.09453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09453.md)].
- ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling - [[2304.09423](https://arxiv.org/abs/2304.09423)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09423.md)].
- To Compress or Not to Compress- Self-Supervised Learning and Information   Theory: A Review - [[2304.09355](https://arxiv.org/abs/2304.09355)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09355.md)].
- Fast Neural Scene Flow - [[2304.09121](https://arxiv.org/abs/2304.09121)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09121.md)].
- Think Before You Act: Unified Policy for Interleaving Language Reasoning   with Actions - [[2304.11063](https://arxiv.org/abs/2304.11063)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11063.md)].
- In ChatGPT We Trust? Measuring and Characterizing the Reliability of   ChatGPT - [[2304.08979](https://arxiv.org/abs/2304.08979)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.08979.md)].
- SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic   Reconstruction of Indoor Scenes - [[2304.08971](https://arxiv.org/abs/2304.08971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.08971.md)].
- Looking Through the Glass: Neural Surface Reconstruction Against High   Specular Reflections - [[2304.08706](https://arxiv.org/abs/2304.08706)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.08706.md)].
- An Evaluation on Large Language Model Outputs: Discourse and   Memorization - [[2304.08637](https://arxiv.org/abs/2304.08637)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.08637.md)].
- Visual Instruction Tuning - [[2304.08485](https://arxiv.org/abs/2304.08485)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.08485.md)].
- Towards Robust Prompts on Vision-Language Models - [[2304.08479](https://arxiv.org/abs/2304.08479)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.08479.md)].
- Learning to Compress Prompts with Gist Tokens - [[2304.08467](https://arxiv.org/abs/2304.08467)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.08467.md)].
- Efficient Video Action Detection with Token Dropout and Context   Refinement - [[2304.08451](https://arxiv.org/abs/2304.08451)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.08451.md)].
- Tool Learning with Foundation Models - [[2304.08354](https://arxiv.org/abs/2304.08354)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.08354.md)].
- Magnitude of arithmetic scalar and matrix categories - [[2304.08334](https://arxiv.org/abs/2304.08334)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.08334.md)].
- Chain of Thought Prompt Tuning in Vision Language Models - [[2304.07919](https://arxiv.org/abs/2304.07919)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.07919.md)].
- Towards Better Instruction Following Language Models for Chinese:   Investigating the Impact of Training Data and Evaluation - [[2304.07854](https://arxiv.org/abs/2304.07854)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.07854.md)].
- EGformer: Equirectangular Geometry-biased Transformer for 360 Depth   Estimation - [[2304.07803](https://arxiv.org/abs/2304.07803)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.07803.md)].
- Self-collaboration Code Generation via ChatGPT - [[2304.07590](https://arxiv.org/abs/2304.07590)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.07590.md)].
- Tractable Control for Autoregressive Language Generation - [[2304.07438](https://arxiv.org/abs/2304.07438)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.07438.md)].
- DINOv2: Learning Robust Visual Features without Supervision - [[2304.07193](https://arxiv.org/abs/2304.07193)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.07193.md)].
- M2T: Masking Transformers Twice for Faster Decoding - [[2304.07313](https://arxiv.org/abs/2304.07313)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.07313.md)].
- Delta Denoising Score - [[2304.07090](https://arxiv.org/abs/2304.07090)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.07090.md)].
- DCFace: Synthetic Face Generation with Dual Condition Diffusion Model - [[2304.07060](https://arxiv.org/abs/2304.07060)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.07060.md)].
- DeePoint: Visual Pointing Recognition and Direction Estimation - [[2304.06977](https://arxiv.org/abs/2304.06977)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06977.md)].
- Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with   Text - [[2304.06939](https://arxiv.org/abs/2304.06939)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06939.md)].
- Unified Out-Of-Distribution Detection: A Model-Specific Perspective - [[2304.06813](https://arxiv.org/abs/2304.06813)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06813.md)].
- RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment - [[2304.06767](https://arxiv.org/abs/2304.06767)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06767.md)].
- Expressive Text-to-Image Generation with Rich Text - [[2304.06720](https://arxiv.org/abs/2304.06720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06720.md)].
- Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and   Reconstruction - [[2304.06714](https://arxiv.org/abs/2304.06714)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06714.md)].
- What does CLIP know about a red circle? Visual prompt engineering for   VLMs - [[2304.06712](https://arxiv.org/abs/2304.06712)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06712.md)].
- DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive   Segmentation Transformer - [[2304.06668](https://arxiv.org/abs/2304.06668)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06668.md)].
- DiffFit: Unlocking Transferability of Large Diffusion Models via Simple   Parameter-Efficient Fine-Tuning - [[2304.06648](https://arxiv.org/abs/2304.06648)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06648.md)].
- Are LLMs All You Need for Task-Oriented Dialogue? - [[2304.06556](https://arxiv.org/abs/2304.06556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06556.md)].
- Perspectives on Large Language Models for Relevance Judgment - [[2304.09161](https://arxiv.org/abs/2304.09161)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09161.md)].
- Multi-Mode Online Knowledge Distillation for Self-Supervised Visual   Representation Learning - [[2304.06461](https://arxiv.org/abs/2304.06461)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06461.md)].
- AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models - [[2304.06364](https://arxiv.org/abs/2304.06364)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06364.md)].
- NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry   Scaffolds - [[2304.06287](https://arxiv.org/abs/2304.06287)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06287.md)].
- Language Instructed Reinforcement Learning for Human-AI Coordination - [[2304.07297](https://arxiv.org/abs/2304.07297)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.07297.md)].
- Asymmetrically-powered Neural Image Compression with Shallow Decoders - [[2304.06244](https://arxiv.org/abs/2304.06244)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06244.md)].
- [CLS] Token is All You Need for Zero-Shot Semantic Segmentation - [[2304.06212](https://arxiv.org/abs/2304.06212)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06212.md)].
- Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views - [[2304.06024](https://arxiv.org/abs/2304.06024)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06024.md)].
- VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs - [[2304.06020](https://arxiv.org/abs/2304.06020)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06020.md)].
- Can Large Language Models Transform Computational Social Science? - [[2305.03514](https://arxiv.org/abs/2305.03514)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2305.03514.md)].
- Hard Patches Mining for Masked Image Modeling - [[2304.05919](https://arxiv.org/abs/2304.05919)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05919.md)].
- Representation Learning with Multi-Step Inverse Kinematics: An Efficient   and Optimal Approach to Rich-Observation RL - [[2304.05889](https://arxiv.org/abs/2304.05889)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05889.md)].
- Are Local Features All You Need for Cross-Domain Visual Place   Recognition? - [[2304.05887](https://arxiv.org/abs/2304.05887)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05887.md)].
- Mesh2Tex: Generating Mesh Textures from Image Queries - [[2304.05868](https://arxiv.org/abs/2304.05868)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05868.md)].
- Factorized Inverse Path Tracing for Efficient and Accurate   Material-Lighting Estimation - [[2304.05669](https://arxiv.org/abs/2304.05669)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05669.md)].
- Instance-Aware Domain Generalization for Face Anti-Spoofing - [[2304.05640](https://arxiv.org/abs/2304.05640)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05640.md)].
- ChatGPT is all you need to decolonize sub-Saharan Vocational Education - [[2304.13728](https://arxiv.org/abs/2304.13728)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.13728.md)].
- ChemCrow: Augmenting large-language models with chemistry tools - [[2304.05376](https://arxiv.org/abs/2304.05376)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05376.md)].
- Toxicity in ChatGPT: Analyzing Persona-assigned Language Models - [[2304.05335](https://arxiv.org/abs/2304.05335)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05335.md)].
- OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy   Prediction - [[2304.05316](https://arxiv.org/abs/2304.05316)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05316.md)].
- SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports   Scenes - [[2304.05170](https://arxiv.org/abs/2304.05170)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05170.md)].
- Teaching Large Language Models to Self-Debug - [[2304.05128](https://arxiv.org/abs/2304.05128)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05128.md)].
- StageInteractor: Query-based Object Detector with Cross-stage   Interaction - [[2304.04978](https://arxiv.org/abs/2304.04978)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04978.md)].
- Gradient-based Uncertainty Attribution for Explainable Bayesian Deep   Learning - [[2304.04824](https://arxiv.org/abs/2304.04824)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04824.md)].
- A Cheaper and Better Diffusion Language Model with Soft-Masked Noise - [[2304.04746](https://arxiv.org/abs/2304.04746)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04746.md)].
- Ambiguous Medical Image Segmentation using Diffusion Models - [[2304.04745](https://arxiv.org/abs/2304.04745)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04745.md)].
- Detection Transformer with Stable Matching - [[2304.04742](https://arxiv.org/abs/2304.04742)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04742.md)].
- Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary   Visual Recognition - [[2304.04704](https://arxiv.org/abs/2304.04704)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04704.md)].
- Improved Test-Time Adaptation for Domain Generalization - [[2304.04494](https://arxiv.org/abs/2304.04494)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04494.md)].
- Instance Neural Radiance Field - [[2304.04395](https://arxiv.org/abs/2304.04395)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04395.md)].
- Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via   Prompt Augmented by ChatGPT - [[2304.11116](https://arxiv.org/abs/2304.11116)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11116.md)].
- OpenAGI: When LLM Meets Domain Experts - [[2304.04370](https://arxiv.org/abs/2304.04370)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04370.md)].
- Video ChatCaptioner: Towards Enriched Spatiotemporal Descriptions - [[2304.04227](https://arxiv.org/abs/2304.04227)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04227.md)].
- Shape-Erased Feature Learning for Visible-Infrared Person   Re-Identification - [[2304.04205](https://arxiv.org/abs/2304.04205)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04205.md)].
- Token Boosting for Robust Self-Supervised Visual Transformer   Pre-training - [[2304.04175](https://arxiv.org/abs/2304.04175)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04175.md)].
- Hi Sheldon! Creating Deep Personalized Characters from TV Shows - [[2304.11093](https://arxiv.org/abs/2304.11093)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.11093.md)].
- Decoder-Only or Encoder-Decoder? Interpreting Language Model as a   Regularized Encoder-Decoder - [[2304.04052](https://arxiv.org/abs/2304.04052)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04052.md)].
- ChatGPT Empowered Long-Step Robot Control in Various Environments: A   Case Application - [[2304.03893](https://arxiv.org/abs/2304.03893)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03893.md)].
- Harnessing the Spatial-Temporal Attention of Diffusion Models for   High-Fidelity Text-to-Image Synthesis - [[2304.03869](https://arxiv.org/abs/2304.03869)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03869.md)].
- Why think step by step? Reasoning emerges from the locality of   experience - [[2304.03843](https://arxiv.org/abs/2304.03843)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03843.md)].
- Meta-causal Learning for Single Domain Generalization - [[2304.03709](https://arxiv.org/abs/2304.03709)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03709.md)].
- Model-Agnostic Gender Debiased Image Captioning - [[2304.03693](https://arxiv.org/abs/2304.03693)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03693.md)].
- Attention: Marginal Probability is All You Need? - [[2304.04556](https://arxiv.org/abs/2304.04556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.04556.md)].
- Sheaf Neural Networks for Graph-based Recommender Systems - [[2304.09097](https://arxiv.org/abs/2304.09097)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.09097.md)].
- RED-PSM: Regularization by Denoising of Partially Separable Models for   Dynamic Imaging - [[2304.03483](https://arxiv.org/abs/2304.03483)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03483.md)].
- Generative Agents: Interactive Simulacra of Human Behavior - [[2304.03442](https://arxiv.org/abs/2304.03442)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03442.md)].
- TopNet: Transformer-based Object Placement Network for Image Compositing - [[2304.03372](https://arxiv.org/abs/2304.03372)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03372.md)].
- SegGPT: Segmenting Everything In Context - [[2304.03284](https://arxiv.org/abs/2304.03284)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03284.md)].
- Visual Dependency Transformers: Dependency Tree Emerges from Reversed   Attention - [[2304.03282](https://arxiv.org/abs/2304.03282)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03282.md)].
- Retention Is All You Need - [[2304.03103](https://arxiv.org/abs/2304.03103)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.03103.md)].
- MULLER: Multilayer Laplacian Resizer for Vision - [[2304.02859](https://arxiv.org/abs/2304.02859)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02859.md)].
- Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation - [[2304.02841](https://arxiv.org/abs/2304.02841)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02841.md)].
- Segment Anything - [[2304.02643](https://arxiv.org/abs/2304.02643)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02643.md)].
- ENTL: Embodied Navigation Trajectory Learner - [[2304.02639](https://arxiv.org/abs/2304.02639)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02639.md)].
- HNeRV: A Hybrid Neural Representation for Videos - [[2304.02633](https://arxiv.org/abs/2304.02633)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02633.md)].
- Dynamic Point Fields - [[2304.02626](https://arxiv.org/abs/2304.02626)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02626.md)].
- Generative Novel View Synthesis with 3D-Aware Diffusion Models - [[2304.02602](https://arxiv.org/abs/2304.02602)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02602.md)].
- Detecting and Grounding Multi-Modal Media Manipulation - [[2304.02556](https://arxiv.org/abs/2304.02556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02556.md)].
- TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration - [[2304.02419](https://arxiv.org/abs/2304.02419)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02419.md)].
- Effective control of two-dimensional Rayleigh--Bénard convection:   invariant multi-agent reinforcement learning is all you need - [[2304.02370](https://arxiv.org/abs/2304.02370)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02370.md)].
- SMPConv: Self-moving Point Representations for Continuous Convolution - [[2304.02330](https://arxiv.org/abs/2304.02330)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02330.md)].
- Few-shot Semantic Image Synthesis with Class Affinity Transfer - [[2304.02321](https://arxiv.org/abs/2304.02321)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02321.md)].
- How to choose your best allies for a transferable attack? - [[2304.02312](https://arxiv.org/abs/2304.02312)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02312.md)].
- ERRA: An Embodied Representation and Reasoning Architecture for   Long-horizon Language-conditioned Manipulation Tasks - [[2304.02251](https://arxiv.org/abs/2304.02251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02251.md)].
- GINA-3D: Learning to Generate Implicit Neural Assets in the Wild - [[2304.02163](https://arxiv.org/abs/2304.02163)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02163.md)].
- FREDOM: Fairness Domain Adaptation Approach to Semantic Scene   Understanding - [[2304.02135](https://arxiv.org/abs/2304.02135)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02135.md)].
- Multimodal Garment Designer: Human-Centric Latent Diffusion Models for   Fashion Image Editing - [[2304.02051](https://arxiv.org/abs/2304.02051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02051.md)].
- GlueStick: Robust Image Matching by Sticking Points and Lines Together - [[2304.02008](https://arxiv.org/abs/2304.02008)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02008.md)].
- MonoHuman: Animatable Human Neural Field from Monocular Video - [[2304.02001](https://arxiv.org/abs/2304.02001)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.02001.md)].
- LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of   Large Language Models - [[2304.01933](https://arxiv.org/abs/2304.01933)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01933.md)].
- Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory   Diffusion - [[2304.01893](https://arxiv.org/abs/2304.01893)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01893.md)].
- Learning to Name Classes for Vision and Language Models - [[2304.01830](https://arxiv.org/abs/2304.01830)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01830.md)].
- Toward Verifiable and Reproducible Human Evaluation for Text-to-Image   Generation - [[2304.01816](https://arxiv.org/abs/2304.01816)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01816.md)].
- Bridging the Gap between Model Explanations in Partially Annotated   Multi-label Classification - [[2304.01804](https://arxiv.org/abs/2304.01804)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01804.md)].
- Towards Open-Vocabulary Video Instance Segmentation - [[2304.01715](https://arxiv.org/abs/2304.01715)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01715.md)].
- HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised   Ordering - [[2304.01686](https://arxiv.org/abs/2304.01686)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01686.md)].
- On the Stability-Plasticity Dilemma of Class-Incremental Learning - [[2304.01663](https://arxiv.org/abs/2304.01663)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01663.md)].
- Cross-Domain Image Captioning with Discriminative Finetuning - [[2304.01662](https://arxiv.org/abs/2304.01662)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01662.md)].
- IterativePFN: True Iterative Point Cloud Filtering - [[2304.01529](https://arxiv.org/abs/2304.01529)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01529.md)].
- Robust Outlier Rejection for 3D Registration with Variational Bayes - [[2304.01514](https://arxiv.org/abs/2304.01514)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01514.md)].
- Defending Against Patch-based Backdoor Attacks on Self-Supervised   Learning - [[2304.01482](https://arxiv.org/abs/2304.01482)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01482.md)].
- Hierarchical Supervision and Shuffle Data Augmentation for 3D   Semi-Supervised Object Detection - [[2304.01464](https://arxiv.org/abs/2304.01464)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01464.md)].
- Learning Personalized High Quality Volumetric Head Avatars from   Monocular RGB Videos - [[2304.01436](https://arxiv.org/abs/2304.01436)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01436.md)].
- VNE: An Effective Method for Improving Deep Representation by   Manipulating Eigenvalue Distribution - [[2304.01434](https://arxiv.org/abs/2304.01434)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01434.md)].
- Pythia: A Suite for Analyzing Large Language Models Across Training and   Scaling - [[2304.01373](https://arxiv.org/abs/2304.01373)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01373.md)].
- Monocular 3D Object Detection with Bounding Box Denoising in 3D by   Perceiver - [[2304.01289](https://arxiv.org/abs/2304.01289)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01289.md)].
- Long-Tailed Visual Recognition via Self-Heterogeneous Integration with   Knowledge Excavation - [[2304.01279](https://arxiv.org/abs/2304.01279)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01279.md)].
- Asymptotic expansions for the maximum likelihood estimation errors of   the rotating parameter of the gravitational wave from core-collapse   supernovae - [[2304.1267](https://arxiv.org/abs/2304.1267)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.1267.md)].
- Neural Volumetric Memory for Visual Locomotion Control - [[2304.01201](https://arxiv.org/abs/2304.01201)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01201.md)].
- Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on   Self-Chat Data - [[2304.01196](https://arxiv.org/abs/2304.01196)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01196.md)].
- Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior   Refinement - [[2304.01195](https://arxiv.org/abs/2304.01195)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01195.md)].
- Burstormer: Burst Image Restoration and Enhancement Transformer - [[2304.01194](https://arxiv.org/abs/2304.01194)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01194.md)].
- Navigating to Objects Specified by Images - [[2304.01192](https://arxiv.org/abs/2304.01192)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01192.md)].
- Generative Multiplane Neural Radiance for 3D-Aware Image Generation - [[2304.01172](https://arxiv.org/abs/2304.01172)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01172.md)].
- Generative Diffusion Prior for Unified Image Restoration and Enhancement - [[2304.01247](https://arxiv.org/abs/2304.01247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01247.md)].
- ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model - [[2304.01116](https://arxiv.org/abs/2304.01116)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01116.md)].
- DivClust: Controlling Diversity in Deep Clustering - [[2304.01042](https://arxiv.org/abs/2304.01042)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.01042.md)].
- Temporal Enhanced Training of Multi-view 3D Object Detector via   Historical Object Prediction - [[2304.00967](https://arxiv.org/abs/2304.00967)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00967.md)].
- Astroformer: More Data Might not be all you need for Classification - [[2304.05350](https://arxiv.org/abs/2304.05350)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.05350.md)].
- Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation - [[2304.00792](https://arxiv.org/abs/2304.00792)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00792.md)].
- Multi-Modal Representation Learning with Text-Driven Soft Masks - [[2304.00719](https://arxiv.org/abs/2304.00719)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00719.md)].
- 3D Semantic Segmentation in the Wild: Learning Generalized Models for   Adverse-Condition Point Clouds - [[2304.00690](https://arxiv.org/abs/2304.00690)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00690.md)].
- Metrological detection of multipartite entanglement through dynamical   symmetries - [[2304.0564](https://arxiv.org/abs/2304.0564)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.0564.md)].
- UniDexGrasp++: Improving Dexterous Grasping Policy Learning via   Geometry-aware Curriculum and Iterative Generalist-Specialist Learning - [[2304.00464](https://arxiv.org/abs/2304.00464)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00464.md)].
- Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild - [[2304.00451](https://arxiv.org/abs/2304.00451)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00451.md)].
- When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona   Dialogue Corpus - [[2304.00350](https://arxiv.org/abs/2304.00350)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00350.md)].
- Devil is in the Queries: Advancing Mask Transformers for Real-world   Medical Image Segmentation and Out-of-Distribution Localization - [[2304.00212](https://arxiv.org/abs/2304.00212)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00212.md)].

### March 2023
- Learning the Distribution of Errors in Stereo Matching for Joint   Disparity and Uncertainty Estimation - [[2304.00152](https://arxiv.org/abs/2304.00152)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00152.md)].
- On stochastic MPC formulations with closed-loop guarantees: Analysis and   a unifying framework - [[2304.0069](https://arxiv.org/abs/2304.0069)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.0069.md)].
- Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior   Understanding - [[2304.00058](https://arxiv.org/abs/2304.00058)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00058.md)].
- LivePose: Online 3D Reconstruction from Monocular Video with Dynamic   Camera Poses - [[2304.00054](https://arxiv.org/abs/2304.00054)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00054.md)].
- Accelerating exploration and representation learning with offline   pre-training - [[2304.00046](https://arxiv.org/abs/2304.00046)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00046.md)].
- Choose Your Weapon: Survival Strategies for Depressed AI Academics - [[2304.06035](https://arxiv.org/abs/2304.06035)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06035.md)].
- A Survey of Large Language Models - [[2303.18223](https://arxiv.org/abs/2303.18223)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.18223.md)].
- Assessing Language Model Deployment with Risk Cards - [[2303.18190](https://arxiv.org/abs/2303.18190)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.18190.md)].
- Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter   Correction - [[2303.18125](https://arxiv.org/abs/2303.18125)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.18125.md)].
- VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence   Normalization - [[2303.17968](https://arxiv.org/abs/2303.17968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17968.md)].
- Diffusion Action Segmentation - [[2303.17959](https://arxiv.org/abs/2303.17959)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17959.md)].
- 3D-aware Image Generation using 2D Diffusion Models - [[2303.17905](https://arxiv.org/abs/2303.17905)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17905.md)].
- Shepherding Slots to Objects: Towards Stable and Robust Object-Centric   Learning - [[2303.17842](https://arxiv.org/abs/2303.17842)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17842.md)].
- Learning Procedure-aware Video Representation from Instructional Videos   and Their Narrations - [[2303.17839](https://arxiv.org/abs/2303.17839)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17839.md)].
- Neural Microfacet Fields for Inverse Rendering - [[2303.17806](https://arxiv.org/abs/2303.17806)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17806.md)].
- CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition - [[2303.17778](https://arxiv.org/abs/2303.17778)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17778.md)].
- CAMEL: Communicative Agents for "Mind" Exploration of Large Scale   Language Model Society - [[2303.17760](https://arxiv.org/abs/2303.17760)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17760.md)].
- Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural   Network - [[2303.17732](https://arxiv.org/abs/2303.17732)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17732.md)].
- S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit   Surfaces - [[2303.17712](https://arxiv.org/abs/2303.17712)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17712.md)].
- Self-Refine: Iterative Refinement with Self-Feedback - [[2303.17651](https://arxiv.org/abs/2303.17651)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17651.md)].
- SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution   Vision Transformer - [[2303.17605](https://arxiv.org/abs/2303.17605)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17605.md)].
- TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic   Point-Spread-Functions - [[2303.17583](https://arxiv.org/abs/2303.17583)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17583.md)].
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging   Face - [[2303.17580](https://arxiv.org/abs/2303.17580)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17580.md)].
- Iterative Prompt Learning for Unsupervised Backlit Image Enhancement - [[2303.17569](https://arxiv.org/abs/2303.17569)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17569.md)].
- Whose Opinions Do Language Models Reflect? - [[2303.17548](https://arxiv.org/abs/2303.17548)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17548.md)].
- Language Models can Solve Computer Tasks - [[2303.17491](https://arxiv.org/abs/2303.17491)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17491.md)].
- All You Need Is Sex for Diversity - [[2303.17441](https://arxiv.org/abs/2303.17441)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17441.md)].
- WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for   Audio-Language Multimodal Research - [[2303.17395](https://arxiv.org/abs/2303.17395)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17395.md)].
- Social Biases through the Text-to-Image Generation Lens - [[2304.06034](https://arxiv.org/abs/2304.06034)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.06034.md)].
- Mixed Autoencoder for Self-supervised Visual Representation Learning - [[2303.17152](https://arxiv.org/abs/2303.17152)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17152.md)].
- NeILF++: Inter-Reflectable Light Fields for Geometry and Material   Estimation - [[2303.17147](https://arxiv.org/abs/2303.17147)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17147.md)].
- ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing - [[2303.17096](https://arxiv.org/abs/2303.17096)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.17096.md)].
- AutoAD: Movie Description in Context - [[2303.16899](https://arxiv.org/abs/2303.16899)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16899.md)].
- ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with   GPT and Prototype Guidance - [[2303.16894](https://arxiv.org/abs/2303.16894)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16894.md)].
- Adaptive Superpixel for Active Learning in Semantic Segmentation - [[2303.16817](https://arxiv.org/abs/2303.16817)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16817.md)].
- TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation - [[2303.16730](https://arxiv.org/abs/2303.16730)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16730.md)].
- G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment - [[2303.16634](https://arxiv.org/abs/2303.16634)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16634.md)].
- Adaptive Spot-Guided Transformer for Consistent Local Feature Matching - [[2303.16624](https://arxiv.org/abs/2303.16624)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16624.md)].
- Personalised Language Modelling of Screen Characters Using Rich Metadata   Annotations - [[2303.16618](https://arxiv.org/abs/2303.16618)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16618.md)].
- Plan4MC: Skill Reinforcement Learning and Planning for Open-World   Minecraft Tasks - [[2303.16563](https://arxiv.org/abs/2303.16563)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16563.md)].
- Fair Federated Medical Image Segmentation via Client Contribution   Estimation - [[2303.16520](https://arxiv.org/abs/2303.16520)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16520.md)].
- Multi-View Azimuth Stereo via Tangent Space Consistency - [[2303.16447](https://arxiv.org/abs/2303.16447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16447.md)].
- TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with   Millions of APIs - [[2303.16434](https://arxiv.org/abs/2303.16434)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16434.md)].
- ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of   Commonsense Problem in Large Language Models - [[2303.16421](https://arxiv.org/abs/2303.16421)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16421.md)].
- Are Data-driven Explanations Robust against Out-of-distribution Data? - [[2303.16390](https://arxiv.org/abs/2303.16390)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16390.md)].
- Communication-Efficient Vertical Federated Learning with Limited   Overlapping Samples - [[2303.16270](https://arxiv.org/abs/2303.16270)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16270.md)].
- Your Diffusion Model is Secretly a Zero-Shot Classifier - [[2303.16203](https://arxiv.org/abs/2303.16203)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16203.md)].
- ASIC: Aligning Sparse in-the-wild Image Collections - [[2303.16201](https://arxiv.org/abs/2303.16201)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16201.md)].
- LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init   Attention - [[2303.16199](https://arxiv.org/abs/2303.16199)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16199.md)].
- SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis - [[2303.16196](https://arxiv.org/abs/2303.16196)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16196.md)].
- Large-scale Training Data Search for Object Re-identification - [[2303.16186](https://arxiv.org/abs/2303.16186)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16186.md)].
- Unmasked Teacher: Towards Training-Efficient Video Foundation Models - [[2303.16058](https://arxiv.org/abs/2303.16058)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.16058.md)].
- F$^{2}$-NeRF: Fast Neural Radiance Field Training with Free Camera   Trajectories - [[2303.15951](https://arxiv.org/abs/2303.15951)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15951.md)].
- Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology   Report Generation - [[2303.15932](https://arxiv.org/abs/2303.15932)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15932.md)].
- Mask-Free Video Instance Segmentation - [[2303.15904](https://arxiv.org/abs/2303.15904)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15904.md)].
- X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic   Textual Guidance - [[2303.15764](https://arxiv.org/abs/2303.15764)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15764.md)].
- Foundation Models and Fair Use - [[2303.15715](https://arxiv.org/abs/2303.15715)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15715.md)].
- DisWOT: Student Architecture Search for Distillation WithOut Training - [[2303.15678](https://arxiv.org/abs/2303.15678)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15678.md)].
- On the Creativity of Large Language Models - [[2304.00008](https://arxiv.org/abs/2304.00008)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2304.00008.md)].
- SwiftFormer: Efficient Additive Attention for Transformer-based   Real-time Mobile Vision Applications - [[2303.15446](https://arxiv.org/abs/2303.15446)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15446.md)].
- Quantum Multi-Model Fitting - [[2303.15444](https://arxiv.org/abs/2303.15444)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15444.md)].
- GeoNet: Benchmarking Unsupervised Adaptation across Geographies - [[2303.15443](https://arxiv.org/abs/2303.15443)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15443.md)].
- Zero-shot Model Diagnosis - [[2303.15441](https://arxiv.org/abs/2303.15441)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15441.md)].
- Anti-DreamBooth: Protecting users from personalized text-to-image   synthesis - [[2303.15433](https://arxiv.org/abs/2303.15433)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15433.md)].
- Learning to Zoom and Unzoom - [[2303.15390](https://arxiv.org/abs/2303.15390)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15390.md)].
- Active Self-Supervised Learning: A Few Low-Cost Relationships Are All   You Need - [[2303.15256](https://arxiv.org/abs/2303.15256)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15256.md)].
- Zero-Shot Composed Image Retrieval with Textual Inversion - [[2303.15247](https://arxiv.org/abs/2303.15247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15247.md)].
- SimpleNet: A Simple Network for Image Anomaly Detection and Localization - [[2303.15140](https://arxiv.org/abs/2303.15140)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15140.md)].
- UniDistill: A Universal Cross-Modality Knowledge Distillation Framework   for 3D Object Detection in Bird's-Eye View - [[2303.15083](https://arxiv.org/abs/2303.15083)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15083.md)].
- Single-subject Multi-contrast MRI Super-resolution via Implicit Neural   Representations - [[2303.15065](https://arxiv.org/abs/2303.15065)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15065.md)].
- DyGait: Exploiting Dynamic Representations for High-performance Gait   Recognition - [[2303.14953](https://arxiv.org/abs/2303.14953)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14953.md)].
- Text is All You Need: Personalizing ASR Models using Controllable Speech   Synthesis - [[2303.14885](https://arxiv.org/abs/2303.14885)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14885.md)].
- Label-Free Liver Tumor Segmentation - [[2303.14869](https://arxiv.org/abs/2303.14869)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14869.md)].
- DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion - [[2303.14863](https://arxiv.org/abs/2303.14863)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14863.md)].
- Frame Flexible Network - [[2303.14817](https://arxiv.org/abs/2303.14817)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14817.md)].
- BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning - [[2303.14773](https://arxiv.org/abs/2303.14773)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14773.md)].
- Disentangling Writer and Character Styles for Handwriting Generation - [[2303.14736](https://arxiv.org/abs/2303.14736)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14736.md)].
- Natural Language Reasoning, A Survey - [[2303.14725](https://arxiv.org/abs/2303.14725)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14725.md)].
- CelebV-Text: A Large-Scale Facial Text-Video Dataset - [[2303.14717](https://arxiv.org/abs/2303.14717)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14717.md)].
- Learning Versatile 3D Shape Generation with Improved AR Models - [[2303.14700](https://arxiv.org/abs/2303.14700)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14700.md)].
- Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs - [[2303.14672](https://arxiv.org/abs/2303.14672)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14672.md)].
- Learning video embedding space with Natural Language Supervision - [[2303.14584](https://arxiv.org/abs/2303.14584)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14584.md)].
- SUDS: Scalable Urban Dynamic Scenes - [[2303.14536](https://arxiv.org/abs/2303.14536)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14536.md)].
- Compacting Binary Neural Networks by Sparse Kernel Selection - [[2303.14470](https://arxiv.org/abs/2303.14470)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14470.md)].
- NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects - [[2303.14435](https://arxiv.org/abs/2303.14435)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14435.md)].
- Human Preference Score: Better Aligning Text-to-Image Models with Human   Preference - [[2303.14420](https://arxiv.org/abs/2303.14420)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14420.md)].
- VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic   Scene Graph Prediction in Point Cloud - [[2303.14408](https://arxiv.org/abs/2303.14408)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14408.md)].
- DoNet: Deep De-overlapping Network for Cytology Instance Segmentation - [[2303.14373](https://arxiv.org/abs/2303.14373)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14373.md)].
- IDGI: A Framework to Eliminate Explanation Noise from Integrated   Gradients - [[2303.14242](https://arxiv.org/abs/2303.14242)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14242.md)].
- FastViT: A Fast Hybrid Vision Transformer using Structural   Reparameterization - [[2303.14189](https://arxiv.org/abs/2303.14189)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14189.md)].
- UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative   Neural Feature Fields - [[2303.14167](https://arxiv.org/abs/2303.14167)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14167.md)].
- Errors are Useful Prompts: Instruction Guided Task Programming with   Verifier-Assisted Iterative Prompting - [[2303.14100](https://arxiv.org/abs/2303.14100)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14100.md)].
- Poincaré ResNet - [[2303.14027](https://arxiv.org/abs/2303.14027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.14027.md)].
- AssetField: Assets Mining and Reconfiguration in Ground Feature Plane   Representation - [[2303.13953](https://arxiv.org/abs/2303.13953)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13953.md)].
- Robust Test-Time Adaptation in Dynamic Scenarios - [[2303.13899](https://arxiv.org/abs/2303.13899)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13899.md)].
- Compositionality in algorithms for smoothing - [[2303.13865](https://arxiv.org/abs/2303.13865)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13865.md)].
- Anomaly Detection under Distribution Shift - [[2303.13845](https://arxiv.org/abs/2303.13845)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13845.md)].
- Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh   Reconstruction - [[2303.13796](https://arxiv.org/abs/2303.13796)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13796.md)].
- Progressively Optimized Local Radiance Fields for Robust View Synthesis - [[2303.13791](https://arxiv.org/abs/2303.13791)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13791.md)].
- Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient   Vision Transformers - [[2303.13755](https://arxiv.org/abs/2303.13755)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13755.md)].
- Conditional Image-to-Video Generation with Latent Flow Diffusion Models - [[2303.13744](https://arxiv.org/abs/2303.13744)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13744.md)].
- How Does Attention Work in Vision Transformers? A Visual Analytics   Attempt - [[2303.13731](https://arxiv.org/abs/2303.13731)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13731.md)].
- End-to-End Diffusion Latent Optimization Improves Classifier Guidance - [[2303.13703](https://arxiv.org/abs/2303.13703)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13703.md)].
- Rethinking Domain Generalization for Face Anti-spoofing: Separability   and Alignment - [[2303.13662](https://arxiv.org/abs/2303.13662)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13662.md)].
- Theoretical and Numerical Analysis of 3D Reconstruction Using Point and   Line Incidences - [[2303.13593](https://arxiv.org/abs/2303.13593)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13593.md)].
- Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the   MineRL BASALT 2022 Competition - [[2303.13512](https://arxiv.org/abs/2303.13512)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13512.md)].
- DreamBooth3D: Subject-Driven Text-to-3D Generation - [[2303.13508](https://arxiv.org/abs/2303.13508)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13508.md)].
- Chordal Averaging on Flag Manifolds and Its Applications - [[2303.13501](https://arxiv.org/abs/2303.13501)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13501.md)].
- The effectiveness of MAE pre-pretraining for billion-scale pretraining - [[2303.13496](https://arxiv.org/abs/2303.13496)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13496.md)].
- Multi-granularity Interaction Simulation for Unsupervised Interactive   Segmentation - [[2303.13399](https://arxiv.org/abs/2303.13399)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13399.md)].
- Zero-guidance Segmentation Using Zero Segment Labels - [[2303.13396](https://arxiv.org/abs/2303.13396)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13396.md)].
- Unsupervised Deep Probabilistic Approach for Partial Point Cloud   Registration - [[2303.13290](https://arxiv.org/abs/2303.13290)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13290.md)].
- Marching-Primitives: Shape Abstraction from Signed Distance Function - [[2303.13190](https://arxiv.org/abs/2303.13190)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13190.md)].
- Masked Image Training for Generalizable Deep Image Denoising - [[2303.13132](https://arxiv.org/abs/2303.13132)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13132.md)].
- Orthogonal Annotation Benefits Barely-supervised Medical Image   Segmentation - [[2303.13090](https://arxiv.org/abs/2303.13090)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13090.md)].
- ENVIDR: Implicit Differentiable Renderer with Neural Environment   Lighting - [[2303.13022](https://arxiv.org/abs/2303.13022)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13022.md)].
- From Knowledge Distillation to Self-Knowledge Distillation: A Unified   Approach with Normalized Loss and Customized Soft Labels - [[2303.13005](https://arxiv.org/abs/2303.13005)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.13005.md)].
- SHERF: Generalizable Human NeRF from a Single Image - [[2303.12791](https://arxiv.org/abs/2303.12791)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12791.md)].
- FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation   Models - [[2303.12786](https://arxiv.org/abs/2303.12786)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12786.md)].
- Spherical Transformer for LiDAR-based 3D Recognition - [[2303.12766](https://arxiv.org/abs/2303.12766)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12766.md)].
- Correlational Image Modeling for Self-Supervised Visual Pre-Training - [[2303.12670](https://arxiv.org/abs/2303.12670)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12670.md)].
- MEGA: Multilingual Evaluation of Generative AI - [[2303.12528](https://arxiv.org/abs/2303.12528)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12528.md)].
- UMC: A Unified Bandwidth-efficient and Multi-resolution based   Collaborative Perception Framework - [[2303.12400](https://arxiv.org/abs/2303.12400)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12400.md)].
- RegFormer: An Efficient Projection-Aware Transformer Network for   Large-Scale Point Cloud Registration - [[2303.12384](https://arxiv.org/abs/2303.12384)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12384.md)].
- LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation - [[2303.12343](https://arxiv.org/abs/2303.12343)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12343.md)].
- Make Encoder Great Again in 3D GAN Inversion through Geometry and   Occlusion-Aware Encoding - [[2303.12326](https://arxiv.org/abs/2303.12326)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12326.md)].
- NLOS-NeuS: Non-line-of-sight Neural Implicit Surface - [[2303.12280](https://arxiv.org/abs/2303.12280)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12280.md)].
- Exploring the Benefits of Visual Prompting in Differential Privacy - [[2303.12247](https://arxiv.org/abs/2303.12247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12247.md)].
- Object Pose Estimation with Statistical Guarantees: Conformal Keypoint   Detection and Geometric Uncertainty Propagation - [[2303.12246](https://arxiv.org/abs/2303.12246)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12246.md)].
- Two-shot Video Object Segmentation - [[2303.12078](https://arxiv.org/abs/2303.12078)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12078.md)].
- VAD: Vectorized Scene Representation for Efficient Autonomous Driving - [[2303.12077](https://arxiv.org/abs/2303.12077)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12077.md)].
- CC3D: Layout-Conditioned Generation of Compositional 3D Scenes - [[2303.12074](https://arxiv.org/abs/2303.12074)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12074.md)].
- Vox-E: Text-guided Voxel Editing of 3D Objects - [[2303.12048](https://arxiv.org/abs/2303.12048)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12048.md)].
- Joint Visual Grounding and Tracking with Natural Language Specification - [[2303.12027](https://arxiv.org/abs/2303.12027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12027.md)].
- Logical Reasoning over Natural Language as Knowledge Representation: A   Survey - [[2303.12023](https://arxiv.org/abs/2303.12023)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12023.md)].
- NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from   Multi-view Images - [[2303.12012](https://arxiv.org/abs/2303.12012)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.12012.md)].
- Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models - [[2303.11989](https://arxiv.org/abs/2303.11989)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11989.md)].
- NEMTO: Neural Environment Matting for Novel View and Relighting   Synthesis of Transparent Objects - [[2303.11963](https://arxiv.org/abs/2303.11963)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11963.md)].
- Using Explanations to Guide Models - [[2303.11932](https://arxiv.org/abs/2303.11932)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11932.md)].
- Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D   Object Detection - [[2303.11926](https://arxiv.org/abs/2303.11926)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11926.md)].
- Efficient Decision-based Black-box Patch Attacks on Video Recognition - [[2303.11917](https://arxiv.org/abs/2303.11917)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11917.md)].
- Solving Oscillation Problem in Post-Training Quantization Through a   Theoretical Perspective - [[2303.11906](https://arxiv.org/abs/2303.11906)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11906.md)].
- 3D Human Mesh Estimation from Virtual Markers - [[2303.11726](https://arxiv.org/abs/2303.11726)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11726.md)].
- Implicit Neural Representation for Cooperative Low-light Image   Enhancement - [[2303.11722](https://arxiv.org/abs/2303.11722)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11722.md)].
- A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to   GPT-5 All You Need? - [[2303.11717](https://arxiv.org/abs/2303.11717)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11717.md)].
- DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic   Segmentation Using Diffusion Models - [[2303.11681](https://arxiv.org/abs/2303.11681)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11681.md)].
- BoxSnake: Polygonal Instance Segmentation with Box Supervision - [[2303.11630](https://arxiv.org/abs/2303.11630)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11630.md)].
- TMA: Temporal Motion Aggregation for Event-based Optical Flow - [[2303.11629](https://arxiv.org/abs/2303.11629)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11629.md)].
- LayoutDiffusion: Improving Graphic Layout Generation by Discrete   Diffusion Probabilistic Models - [[2303.11589](https://arxiv.org/abs/2303.11589)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11589.md)].
- Boundary Unlearning - [[2303.11570](https://arxiv.org/abs/2303.11570)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11570.md)].
- Texture Learning Domain Randomization for Domain Generalized   Segmentation - [[2303.11546](https://arxiv.org/abs/2303.11546)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11546.md)].
- PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex   Constraints for Multimodel Image Alignment - [[2303.11526](https://arxiv.org/abs/2303.11526)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11526.md)].
- Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings - [[2303.11502](https://arxiv.org/abs/2303.11502)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11502.md)].
- Polynomial Implicit Neural Representations For Large Diverse Datasets - [[2303.11424](https://arxiv.org/abs/2303.11424)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11424.md)].
- EPiC: Ensemble of Partial Point Clouds for Robust Classification - [[2303.11419](https://arxiv.org/abs/2303.11419)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11419.md)].
- Stable Bias: Analyzing Societal Representations in Diffusion Models - [[2303.11408](https://arxiv.org/abs/2303.11408)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11408.md)].
- eP-ALM: Efficient Perceptual Augmentation of Language Models - [[2303.11403](https://arxiv.org/abs/2303.11403)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11403.md)].
- MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action - [[2303.11381](https://arxiv.org/abs/2303.11381)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11381.md)].
- Reflexion: Language Agents with Verbal Reinforcement Learning - [[2303.11366](https://arxiv.org/abs/2303.11366)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11366.md)].
- Sound Localization from Motion: Jointly Learning Sound Direction and   Camera Rotation - [[2303.11329](https://arxiv.org/abs/2303.11329)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11329.md)].
- Zero-1-to-3: Zero-shot One Image to 3D Object - [[2303.11328](https://arxiv.org/abs/2303.11328)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11328.md)].
- Open-vocabulary Panoptic Segmentation with Embedding Modulation - [[2303.11324](https://arxiv.org/abs/2303.11324)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11324.md)].
- SVDiff: Compact Parameter Space for Diffusion Fine-Tuning - [[2303.11305](https://arxiv.org/abs/2303.11305)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11305.md)].
- HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and   Dynamic Details - [[2303.11225](https://arxiv.org/abs/2303.11225)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11225.md)].
- Less is More: Reducing Task and Model Complexity for 3D Point Cloud   Semantic Segmentation - [[2303.11203](https://arxiv.org/abs/2303.11203)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11203.md)].
- Robustifying Token Attention for Vision Transformers - [[2303.11126](https://arxiv.org/abs/2303.11126)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11126.md)].
- SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel   Storage - [[2303.11114](https://arxiv.org/abs/2303.11114)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11114.md)].
- EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation - [[2303.11089](https://arxiv.org/abs/2303.11089)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11089.md)].
- Learning Foresightful Dense Visual Affordance for Deformable Object   Manipulation - [[2303.11057](https://arxiv.org/abs/2303.11057)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11057.md)].
- Learning Optical Flow from Event Camera with Rendered Dataset - [[2303.11011](https://arxiv.org/abs/2303.11011)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.11011.md)].
- EqMotion: Equivariant Multi-agent Motion Prediction with Invariant   Interaction Reasoning - [[2303.10876](https://arxiv.org/abs/2303.10876)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10876.md)].
- Dynamic Documentation for AI Systems - [[2303.10854](https://arxiv.org/abs/2303.10854)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10854.md)].
- Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for   Multi-View Reconstruction with Reflection - [[2303.10840](https://arxiv.org/abs/2303.10840)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10840.md)].
- NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental   LiDAR Odometry and Mapping - [[2303.10709](https://arxiv.org/abs/2303.10709)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10709.md)].
- Compatibility of Fundamental Matrices for Complete Viewing Graphs - [[2303.10658](https://arxiv.org/abs/2303.10658)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10658.md)].
- CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft - [[2303.10571](https://arxiv.org/abs/2303.10571)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10571.md)].
- Is Prompt All You Need? No. A Comprehensive and Broader View of   Instruction Learning - [[2303.10475](https://arxiv.org/abs/2303.10475)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10475.md)].
- Spatial-Aware Token for Weakly Supervised Object Localization - [[2303.10438](https://arxiv.org/abs/2303.10438)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10438.md)].
- Grounding 3D Object Affordance from 2D Interactions in Images - [[2303.10437](https://arxiv.org/abs/2303.10437)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10437.md)].
- DialogPaint: A Dialog-based Image Editing Model - [[2303.10073](https://arxiv.org/abs/2303.10073)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10073.md)].
- No Fear of Classifier Biases: Neural Collapse Inspired Federated   Learning with Synthetic and Fixed Classifier - [[2303.10058](https://arxiv.org/abs/2303.10058)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.10058.md)].
- Adversarial Counterfactual Visual Explanations - [[2303.09962](https://arxiv.org/abs/2303.09962)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09962.md)].
- Leaping Into Memories: Space-Time Deep Feature Synthesis - [[2303.09941](https://arxiv.org/abs/2303.09941)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09941.md)].
- TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation - [[2303.09870](https://arxiv.org/abs/2303.09870)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09870.md)].
- DiffusionRet: Generative Text-Video Retrieval with Diffusion Model - [[2303.09867](https://arxiv.org/abs/2303.09867)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09867.md)].
- FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model - [[2303.09833](https://arxiv.org/abs/2303.09833)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09833.md)].
- Hierarchical Prior Mining for Non-local Multi-View Stereo - [[2303.09758](https://arxiv.org/abs/2303.09758)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09758.md)].
- Video Action Recognition with Attentive Semantic Units - [[2303.09756](https://arxiv.org/abs/2303.09756)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09756.md)].
- CoLT5: Faster Long-Range Transformers with Conditional Computation - [[2303.09752](https://arxiv.org/abs/2303.09752)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09752.md)].
- ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision   Transformer on Diverse Mobile Devices - [[2303.09730](https://arxiv.org/abs/2303.09730)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09730.md)].
- CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos - [[2303.09713](https://arxiv.org/abs/2303.09713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09713.md)].
- Unsupervised Self-Driving Attention Prediction via Uncertainty Mining   and Knowledge Embedding - [[2303.09706](https://arxiv.org/abs/2303.09706)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09706.md)].
- Efficient Computation Sharing for Multi-Task Visual Scene Understanding - [[2303.09663](https://arxiv.org/abs/2303.09663)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09663.md)].
- Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution - [[2303.09650](https://arxiv.org/abs/2303.09650)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09650.md)].
- DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion - [[2303.09604](https://arxiv.org/abs/2303.09604)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09604.md)].
- Efficient Diffusion Training via Min-SNR Weighting Strategy - [[2303.09556](https://arxiv.org/abs/2303.09556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09556.md)].
- FateZero: Fusing Attentions for Zero-shot Text-based Video Editing - [[2303.09535](https://arxiv.org/abs/2303.09535)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09535.md)].
- Among Us: Adversarially Robust Collaborative Perception by Consensus - [[2303.09495](https://arxiv.org/abs/2303.09495)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09495.md)].
- DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human   Avatars - [[2303.09375](https://arxiv.org/abs/2303.09375)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09375.md)].
- StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized   Tokenizer of a Large-Scale Generative Model - [[2303.09268](https://arxiv.org/abs/2303.09268)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09268.md)].
- Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and   Forget Less - [[2303.09914](https://arxiv.org/abs/2303.09914)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09914.md)].
- Human-AI Collaboration: The Effect of AI Delegation on Human Task   Performance and Task Satisfaction - [[2303.09224](https://arxiv.org/abs/2303.09224)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09224.md)].
- Global Knowledge Calibration for Fast Open-Vocabulary Segmentation - [[2303.09181](https://arxiv.org/abs/2303.09181)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09181.md)].
- Learning a Room with the Occ-SDF Hybrid: Signed Distance Function   Mingled with Occupancy Aids Scene Representation - [[2303.09152](https://arxiv.org/abs/2303.09152)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09152.md)].
- Robust Evaluation of Diffusion-Based Adversarial Purification - [[2303.09051](https://arxiv.org/abs/2303.09051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09051.md)].
- HE is all you need: Compressing FHE Ciphertexts using Additive HE - [[2303.09043](https://arxiv.org/abs/2303.09043)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09043.md)].
- Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation - [[2303.09036](https://arxiv.org/abs/2303.09036)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09036.md)].
- ART: Automatic multi-step reasoning and tool-use for large language   models - [[2303.09014](https://arxiv.org/abs/2303.09014)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.09014.md)].
- Unified Visual Relationship Detection with Vision and Language Models - [[2303.08998](https://arxiv.org/abs/2303.08998)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08998.md)].
- Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness   with Dataset Reinforcement - [[2303.08983](https://arxiv.org/abs/2303.08983)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08983.md)].
- MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action   Recognition with Language Knowledge - [[2303.08914](https://arxiv.org/abs/2303.08914)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08914.md)].
- Stochastic Segmentation with Conditional Categorical Diffusion Models - [[2303.08888](https://arxiv.org/abs/2303.08888)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08888.md)].
- BiFormer: Vision Transformer with Bi-Level Routing Attention - [[2303.08810](https://arxiv.org/abs/2303.08810)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08810.md)].
- PLEX: Making the Most of the Available Data for Robotic Manipulation   Pretraining - [[2303.08789](https://arxiv.org/abs/2303.08789)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08789.md)].
- Re-ReND: Real-time Rendering of NeRFs across Devices - [[2303.08717](https://arxiv.org/abs/2303.08717)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08717.md)].
- Bi-directional Distribution Alignment for Transductive Zero-Shot   Learning - [[2303.08698](https://arxiv.org/abs/2303.08698)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08698.md)].
- Making Vision Transformers Efficient from A Token Sparsification View - [[2303.08685](https://arxiv.org/abs/2303.08685)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08685.md)].
- Can Large Language Models design a Robot? - [[2303.15324](https://arxiv.org/abs/2303.15324)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.15324.md)].
- Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models - [[2303.08440](https://arxiv.org/abs/2303.08440)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08440.md)].
- VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow   Estimation - [[2303.08340](https://arxiv.org/abs/2303.08340)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08340.md)].
- Towards High-Quality and Efficient Video Super-Resolution via   Spatial-Temporal Data Overfitting - [[2303.08331](https://arxiv.org/abs/2303.08331)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08331.md)].
- MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection   from Point Cloud Sequences - [[2303.08316](https://arxiv.org/abs/2303.08316)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08316.md)].
- SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8   Inference - [[2303.08308](https://arxiv.org/abs/2303.08308)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08308.md)].
- Chat with the Environment: Interactive Multimodal Perception Using Large   Language Models - [[2303.08268](https://arxiv.org/abs/2303.08268)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08268.md)].
- Rotation-Invariant Transformer for Point Cloud Matching - [[2303.08231](https://arxiv.org/abs/2303.08231)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08231.md)].
- Diversity-Aware Meta Visual Prompting - [[2303.08138](https://arxiv.org/abs/2303.08138)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08138.md)].
- Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained   Representations - [[2303.08135](https://arxiv.org/abs/2303.08135)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08135.md)].
- Parameter is Not All You Need: Starting from Non-Parametric Networks for   3D Point Cloud Analysis - [[2303.08134](https://arxiv.org/abs/2303.08134)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08134.md)].
- A Simple Framework for Open-Vocabulary Segmentation and Detection - [[2303.08131](https://arxiv.org/abs/2303.08131)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08131.md)].
- ViperGPT: Visual Inference via Python Execution for Reasoning - [[2303.08128](https://arxiv.org/abs/2303.08128)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08128.md)].
- Editing Implicit Assumptions in Text-to-Image Diffusion Models - [[2303.08084](https://arxiv.org/abs/2303.08084)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08084.md)].
- Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep   Ensembles are More Efficient than Single Models - [[2303.08010](https://arxiv.org/abs/2303.08010)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.08010.md)].
- Adaptive Rotated Convolution for Rotated Object Detection - [[2303.07820](https://arxiv.org/abs/2303.07820)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07820.md)].
- MobileVOS: Real-Time Video Object Segmentation Contrastive Learning   meets Knowledge Distillation - [[2303.07815](https://arxiv.org/abs/2303.07815)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07815.md)].
- ICICLE: Interpretable Class Incremental Continual Learning - [[2303.07811](https://arxiv.org/abs/2303.07811)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07811.md)].
- USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised   Semantic Segmentation - [[2303.07806](https://arxiv.org/abs/2303.07806)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07806.md)].
- Good Neighbors Are All You Need for Chinese Grapheme-to-Phoneme   Conversion - [[2303.07726](https://arxiv.org/abs/2303.07726)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07726.md)].
- Query2doc: Query Expansion with Large Language Models - [[2303.07678](https://arxiv.org/abs/2303.07678)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07678.md)].
- One scalar is all you need -- absolute depth estimation using monocular   self-supervision - [[2303.07662](https://arxiv.org/abs/2303.07662)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07662.md)].
- NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from   Multi-view Images - [[2303.07653](https://arxiv.org/abs/2303.07653)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07653.md)].
- RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via   Language-Based Feedback - [[2303.07622](https://arxiv.org/abs/2303.07622)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07622.md)].
- The Life Cycle of Knowledge in Big Language Models: A Survey - [[2303.07616](https://arxiv.org/abs/2303.07616)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07616.md)].
- WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant   Analysis - [[2303.07543](https://arxiv.org/abs/2303.07543)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07543.md)].
- Audio Visual Language Maps for Robot Navigation - [[2303.07522](https://arxiv.org/abs/2303.07522)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07522.md)].
- TriDet: Temporal Action Detection with Relative Boundary Modeling - [[2303.07347](https://arxiv.org/abs/2303.07347)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07347.md)].
- Erasing Concepts from Diffusion Models - [[2303.07345](https://arxiv.org/abs/2303.07345)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07345.md)].
- Revisiting Class-Incremental Learning with Pre-Trained Models:   Generalizability and Adaptivity are All You Need - [[2303.07338](https://arxiv.org/abs/2303.07338)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07338.md)].
- PoseExaminer: Automated Testing of Out-of-Distribution Robustness in   Human Pose and Shape Estimation - [[2303.07337](https://arxiv.org/abs/2303.07337)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07337.md)].
- Align and Attend: Multimodal Summarization with Dual Contrastive Losses - [[2303.07284](https://arxiv.org/abs/2303.07284)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07284.md)].
- Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of   Synthetic and Compositional Images - [[2303.07274](https://arxiv.org/abs/2303.07274)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07274.md)].
- Efficient Semantic Segmentation by Altering Resolutions for Compressed   Videos - [[2303.07224](https://arxiv.org/abs/2303.07224)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07224.md)].
- Modality-Agnostic Debiasing for Single Domain Generalization - [[2303.07123](https://arxiv.org/abs/2303.07123)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07123.md)].
- Upcycling Models under Domain and Category Shift - [[2303.07110](https://arxiv.org/abs/2303.07110)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07110.md)].
- Prototype-based Embedding Network for Scene Graph Generation - [[2303.07096](https://arxiv.org/abs/2303.07096)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07096.md)].
- MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object   ReID - [[2303.07065](https://arxiv.org/abs/2303.07065)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07065.md)].
- TARGET: Federated Class-Continual Learning via Exemplar-Free   Distillation - [[2303.06937](https://arxiv.org/abs/2303.06937)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06937.md)].
- NeRFLiX: High-Quality Neural View Synthesis by Learning a   Degradation-Driven Inter-viewpoint MiXer - [[2303.06919](https://arxiv.org/abs/2303.06919)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06919.md)].
- DR2: Diffusion-based Robust Degradation Remover for Blind Face   Restoration - [[2303.06885](https://arxiv.org/abs/2303.06885)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06885.md)].
- Progressive Open Space Expansion for Open-Set Model Attribution - [[2303.06877](https://arxiv.org/abs/2303.06877)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06877.md)].
- Adaptive Data-Free Quantization - [[2303.06869](https://arxiv.org/abs/2303.06869)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06869.md)].
- FlexGen: High-Throughput Generative Inference of Large Language Models   with a Single GPU - [[2303.06865](https://arxiv.org/abs/2303.06865)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06865.md)].
- Learning Distortion Invariant Representation for Image Restoration from   A Causality Perspective - [[2303.06859](https://arxiv.org/abs/2303.06859)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06859.md)].
- Dynamic Neural Network for Multi-Task Learning Searching across Diverse   Network Topologies - [[2303.06856](https://arxiv.org/abs/2303.06856)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06856.md)].
- DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion - [[2303.06840](https://arxiv.org/abs/2303.06840)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06840.md)].
- Transformer-based Planning for Symbolic Regression - [[2303.06833](https://arxiv.org/abs/2303.06833)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06833.md)].
- Traj-MAE: Masked Autoencoders for Trajectory Prediction - [[2303.06697](https://arxiv.org/abs/2303.06697)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06697.md)].
- Self-planning Code Generation with Large Language Models - [[2303.06689](https://arxiv.org/abs/2303.06689)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06689.md)].
- Iterative Geometry Encoding Volume for Stereo Matching - [[2303.06615](https://arxiv.org/abs/2303.06615)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06615.md)].
- Multi-metrics adaptively identifies backdoors in Federated learning - [[2303.06601](https://arxiv.org/abs/2303.06601)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06601.md)].
- ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched   Visual Descriptions - [[2303.06594](https://arxiv.org/abs/2303.06594)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06594.md)].
- Large Language Models Know Your Contextual Search Intent: A Prompting   Framework for Conversational Search - [[2303.06573](https://arxiv.org/abs/2303.06573)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06573.md)].
- Gradient-Regulated Meta-Prompt Learning for Generalizable   Vision-Language Models - [[2303.06571](https://arxiv.org/abs/2303.06571)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06571.md)].
- ChatGPT Prompt Patterns for Improving Code Quality, Refactoring,   Requirements Elicitation, and Software Design - [[2303.07839](https://arxiv.org/abs/2303.07839)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.07839.md)].
- FAC: 3D Representation Learning via Foreground Aware Feature Contrast - [[2303.06388](https://arxiv.org/abs/2303.06388)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06388.md)].
- DeltaEdit: Exploring Text-free Training for Text-Driven Image   Manipulation - [[2303.06285](https://arxiv.org/abs/2303.06285)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06285.md)].
- Task and Motion Planning with Large Language Models for Object   Rearrangement - [[2303.06247](https://arxiv.org/abs/2303.06247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06247.md)].
- Who's Thinking? A Push for Human-Centered Evaluation of LLMs using the   XAI Playbook - [[2303.06223](https://arxiv.org/abs/2303.06223)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06223.md)].
- SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation   for Autonomous Driving - [[2303.06209](https://arxiv.org/abs/2303.06209)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06209.md)].
- Overwriting Pretrained Bias with Finetuning Data - [[2303.06167](https://arxiv.org/abs/2303.06167)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06167.md)].
- StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces - [[2303.06146](https://arxiv.org/abs/2303.06146)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06146.md)].
- MVImgNet: A Large-scale Dataset of Multi-view Images - [[2303.06042](https://arxiv.org/abs/2303.06042)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.06042.md)].
- Accountable Textual-Visual Chat Learns to Reject Human Instructions in   Image Re-creation - [[2303.05983](https://arxiv.org/abs/2303.05983)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05983.md)].
- Structural Multiplane Image: Bridging Neural View Synthesis and 3D   Reconstruction - [[2303.05937](https://arxiv.org/abs/2303.05937)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05937.md)].
- GECCO: Geometrically-Conditioned Point Diffusion Models - [[2303.05916](https://arxiv.org/abs/2303.05916)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05916.md)].
- Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection - [[2303.05892](https://arxiv.org/abs/2303.05892)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05892.md)].
- TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets - [[2303.05762](https://arxiv.org/abs/2303.05762)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05762.md)].
- GameFormer: Game-theoretic Modeling and Learning of Transformer-based   Interactive Prediction and Planning for Autonomous Driving - [[2303.05760](https://arxiv.org/abs/2303.05760)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05760.md)].
- Hardware Acceleration of Neural Graphics - [[2303.05735](https://arxiv.org/abs/2303.05735)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05735.md)].
- 3D Cinemagraphy from a Single Image - [[2303.05724](https://arxiv.org/abs/2303.05724)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05724.md)].
- Context-Based Trit-Plane Coding for Progressive Image Compression - [[2303.05715](https://arxiv.org/abs/2303.05715)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05715.md)].
- Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing   Mistake Severity - [[2303.05689](https://arxiv.org/abs/2303.05689)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05689.md)].
- Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature   Mimicking - [[2303.05475](https://arxiv.org/abs/2303.05475)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05475.md)].
- Rethinking Range View Representation for LiDAR Segmentation - [[2303.05367](https://arxiv.org/abs/2303.05367)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05367.md)].
- 3D Video Loops from Asynchronous Input - [[2303.05312](https://arxiv.org/abs/2303.05312)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05312.md)].
- From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You   Need - [[2303.05266](https://arxiv.org/abs/2303.05266)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05266.md)].
- Masked Image Modeling with Local Multi-Scale Reconstruction - [[2303.05251](https://arxiv.org/abs/2303.05251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05251.md)].
- Revisiting Rotation Averaging: Uncertainties and Robust Losses - [[2303.05195](https://arxiv.org/abs/2303.05195)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05195.md)].
- Efficient Transformer-based 3D Object Detection with Dynamic Token   Halting - [[2303.05078](https://arxiv.org/abs/2303.05078)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05078.md)].
- Identification of Systematic Errors of Image Classifiers on Rare   Subgroups - [[2303.05072](https://arxiv.org/abs/2303.05072)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05072.md)].
- MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box   Priors - [[2303.05071](https://arxiv.org/abs/2303.05071)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05071.md)].
- ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for   Document Information Extraction - [[2303.05063](https://arxiv.org/abs/2303.05063)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05063.md)].
- X-Pruner: eXplainable Pruning for Vision Transformers - [[2303.04935](https://arxiv.org/abs/2303.04935)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.04935.md)].
- CROSSFIRE: Camera Relocalization On Self-Supervised Features from an   Implicit Representation - [[2303.04869](https://arxiv.org/abs/2303.04869)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.04869.md)].
- Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion   Models - [[2303.04803](https://arxiv.org/abs/2303.04803)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.04803.md)].
- Cost-Effective Hyperparameter Optimization for Large Language Model   Generation Inference - [[2303.04673](https://arxiv.org/abs/2303.04673)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.04673.md)].
- Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation   Models - [[2303.04671](https://arxiv.org/abs/2303.04671)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.04671.md)].
- DNBP: Differentiable Nonparametric Belief Propagation - [[2303.04616](https://arxiv.org/abs/2303.04616)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.04616.md)].
- CUDA: Convolution-based Unlearnable Datasets - [[2303.04278](https://arxiv.org/abs/2303.04278)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.04278.md)].
- Where We Are and What We're Looking At: Query Based Worldwide Image   Geo-localization Using Hierarchies and Scenes - [[2303.04249](https://arxiv.org/abs/2303.04249)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.04249.md)].
- Foundation Models for Decision Making: Problems, Methods, and   Opportunities - [[2303.04129](https://arxiv.org/abs/2303.04129)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.04129.md)].
- Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation   Using Scene Object Spectrum Grounding - [[2303.04077](https://arxiv.org/abs/2303.04077)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.04077.md)].
- DLT: Conditioned layout generation with Joint Discrete-Continuous   Diffusion Layout Transformer - [[2303.03755](https://arxiv.org/abs/2303.03755)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03755.md)].
- MOSO: Decomposing MOtion, Scene and Object for Video Prediction - [[2303.03684](https://arxiv.org/abs/2303.03684)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03684.md)].
- Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks - [[2303.03667](https://arxiv.org/abs/2303.03667)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03667.md)].
- LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global   Cross-Modal Fusion - [[2303.03595](https://arxiv.org/abs/2303.03595)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03595.md)].
- Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Based Zero-Shot   Object Navigation - [[2303.03480](https://arxiv.org/abs/2303.03480)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03480.md)].
- PaLM-E: An Embodied Multimodal Language Model - [[2303.03378](https://arxiv.org/abs/2303.03378)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03378.md)].
- CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive   Learning - [[2303.03323](https://arxiv.org/abs/2303.03323)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03323.md)].
- MACARONS: Mapping And Coverage Anticipation with RGB Online   Self-Supervision - [[2303.03315](https://arxiv.org/abs/2303.03315)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03315.md)].
- Continuous Sign Language Recognition with Correlation Network - [[2303.03202](https://arxiv.org/abs/2303.03202)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03202.md)].
- Masked Images Are Counterfactual Samples for Robust Fine-tuning - [[2303.03052](https://arxiv.org/abs/2303.03052)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03052.md)].
- UniHCP: A Unified Model for Human-Centric Perceptions - [[2303.02936](https://arxiv.org/abs/2303.02936)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02936.md)].
- LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations   and Infographics using Large Language Models - [[2303.02927](https://arxiv.org/abs/2303.02927)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02927.md)].
- DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural   Network - [[2303.02165](https://arxiv.org/abs/2303.02165)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02165.md)].
- Human-Art: A Versatile Human-Centric Dataset Bridging Natural and   Artificial Scenes - [[2303.02760](https://arxiv.org/abs/2303.02760)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02760.md)].
- HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for   Single-View 3D Hair Modeling - [[2303.02700](https://arxiv.org/abs/2303.02700)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02700.md)].
- Super-Resolution Neural Operator - [[2303.02584](https://arxiv.org/abs/2303.02584)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02584.md)].
- Prismer: A Vision-Language Model with An Ensemble of Experts - [[2303.02506](https://arxiv.org/abs/2303.02506)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02506.md)].
- CapDet: Unifying Dense Captioning and Open-World Detection Pretraining - [[2303.02489](https://arxiv.org/abs/2303.02489)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02489.md)].
- FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion   Tasks - [[2303.02483](https://arxiv.org/abs/2303.02483)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02483.md)].
- ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based   Polishing - [[2303.02437](https://arxiv.org/abs/2303.02437)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02437.md)].
- NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface   Reconstruction - [[2303.02375](https://arxiv.org/abs/2303.02375)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02375.md)].
- Decompose, Adjust, Compose: Effective Normalization by Playing with   Frequency for Domain Generalization - [[2303.02328](https://arxiv.org/abs/2303.02328)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02328.md)].
- MathPrompter: Mathematical Reasoning using Large Language Models - [[2303.05398](https://arxiv.org/abs/2303.05398)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.05398.md)].
- Technical Report on: Tripedal Dynamic Gaits for a Quadruped Robot - [[2303.02280](https://arxiv.org/abs/2303.02280)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02280.md)].
- Unleashing Text-to-Image Diffusion Models for Visual Perception - [[2303.02153](https://arxiv.org/abs/2303.02153)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02153.md)].
- Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong   Few-shot Learners - [[2303.02151](https://arxiv.org/abs/2303.02151)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.02151.md)].
- Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves   Generalization - [[2303.03108](https://arxiv.org/abs/2303.03108)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.03108.md)].
- EcoTTA: Memory-Efficient Continual Test-time Adaptation via   Self-distilled Regularization - [[2303.01904](https://arxiv.org/abs/2303.01904)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.01904.md)].
- Prompting Large Language Models with Answer Heuristics for   Knowledge-based Visual Question Answering - [[2303.01903](https://arxiv.org/abs/2303.01903)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.01903.md)].
- Generative Diffusions in Augmented Spaces: A Complete Recipe - [[2303.01748](https://arxiv.org/abs/2303.01748)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.01748.md)].
- Near Optimal Memory-Regret Tradeoff for Online Learning - [[2303.1673](https://arxiv.org/abs/2303.1673)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.1673.md)].
- WESPER: Zero-shot and Realtime Whisper to Normal Voice Conversion for   Whisper-based Speech Interactions - [[2303.1639](https://arxiv.org/abs/2303.1639)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.1639.md)].
- A Meta-Learning Approach to Predicting Performance and Data Requirements - [[2303.01598](https://arxiv.org/abs/2303.01598)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.01598.md)].
- Improving GAN Training via Feature Space Shrinkage - [[2303.01559](https://arxiv.org/abs/2303.01559)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.01559.md)].
- First Order Quantum Phase Transition in the Hybrid Metal-Mott Insulator   Transition Metal Dichalcogenide 4Hb-TaS2 - [[2303.1447](https://arxiv.org/abs/2303.1447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.1447.md)].
- Isotopic effects in molecular attosecond photoelectron interferometry - [[2303.1329](https://arxiv.org/abs/2303.1329)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.1329.md)].
- Token Contrast for Weakly-Supervised Semantic Segmentation - [[2303.1267](https://arxiv.org/abs/2303.1267)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.1267.md)].
- MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource   Visual Question Answering - [[2303.01239](https://arxiv.org/abs/2303.01239)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.01239.md)].
- Demystifying Causal Features on Adversarial Examples and Causal   Inoculation for Robust Network by Adversarial Instrumental Variable   Regression - [[2303.01052](https://arxiv.org/abs/2303.01052)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.01052.md)].
- Eulerian-Lagrangian particle-based model for diffusional growth for the   better parameterization of ISM clouds: A road map for improving climate model   through small-scale model using observations - [[2303.0987](https://arxiv.org/abs/2303.0987)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.0987.md)].
- Image Labels Are All You Need for Coarse Seagrass Segmentation - [[2303.00973](https://arxiv.org/abs/2303.00973)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00973.md)].
- Disentangling Orthogonal Planes for Indoor Panoramic Room Layout   Estimation with Cross-Scale Distortion Awareness - [[2303.00971](https://arxiv.org/abs/2303.00971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00971.md)].
- UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse   Proposal Generation and Goal-Conditioned Policy - [[2303.00938](https://arxiv.org/abs/2303.00938)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00938.md)].
- Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation - [[2303.00914](https://arxiv.org/abs/2303.00914)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00914.md)].
- Open-World Object Manipulation using Pre-trained Vision-Language Models - [[2303.00905](https://arxiv.org/abs/2303.00905)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00905.md)].
- Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision - [[2303.00885](https://arxiv.org/abs/2303.00885)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00885.md)].
- Grounded Decoding: Guiding Text Generation with Grounded Models for   Robot Control - [[2303.00855](https://arxiv.org/abs/2303.00855)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00855.md)].
- UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and   Distillation of Rerankers - [[2303.00807](https://arxiv.org/abs/2303.00807)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00807.md)].
- WhisperX: Time-Accurate Speech Transcription of Long-Form Audio - [[2303.00747](https://arxiv.org/abs/2303.00747)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00747.md)].
- IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint   Multi-Agent Trajectory Prediction - [[2303.00575](https://arxiv.org/abs/2303.00575)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00575.md)].
- On the Audio-visual Synchronization for Lip-to-Speech Synthesis - [[2303.00502](https://arxiv.org/abs/2303.00502)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00502.md)].
- Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision - [[2303.00462](https://arxiv.org/abs/2303.00462)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00462.md)].
- Distilled Reverse Attention Network for Open-world Compositional   Zero-Shot Learning - [[2303.00404](https://arxiv.org/abs/2303.00404)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00404.md)].
- A Practical Upper Bound for the Worst-Case Attribution Deviations - [[2303.00340](https://arxiv.org/abs/2303.00340)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00340.md)].
- Can ChatGPT Assess Human Personalities? A General Evaluation Framework - [[2303.01248](https://arxiv.org/abs/2303.01248)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.01248.md)].
- Single Image Backdoor Inversion via Robust Smoothed Classifiers - [[2303.00215](https://arxiv.org/abs/2303.00215)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00215.md)].
- Zyxin is all you need: machine learning adherent cell mechanics - [[2303.00176](https://arxiv.org/abs/2303.00176)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00176.md)].

### February 2023
- Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection   to Image-Text Pre-Training - [[2303.00040](https://arxiv.org/abs/2303.00040)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.00040.md)].
- A Comprehensive Perturbative Formalism for Phase Mixing in Perturbed   Disks. II. Phase Spirals in an Inhomogeneous Disk Galaxy with a   Non-responsive Dark Matter Halo - [[2303.0034](https://arxiv.org/abs/2303.0034)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.0034.md)].
- PA&amp;DA: Jointly Sampling PAth and DAta for Consistent NAS - [[2302.14772](https://arxiv.org/abs/2302.14772)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14772.md)].
- Generic-to-Specific Distillation of Masked Autoencoders - [[2302.14771](https://arxiv.org/abs/2302.14771)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14771.md)].
- Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors - [[2302.14746](https://arxiv.org/abs/2302.14746)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14746.md)].
- Which One Are You Referring To? Multimodal Object Identification in   Situated Dialogue - [[2302.14680](https://arxiv.org/abs/2302.14680)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14680.md)].
- Backdoor Attacks Against Deep Image Compression via Adaptive Frequency   Trigger - [[2302.14677](https://arxiv.org/abs/2302.14677)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14677.md)].
- Attention-based Point Cloud Edge Sampling - [[2302.14673](https://arxiv.org/abs/2302.14673)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14673.md)].
- Interactive Segmentation as Gaussian Process Classification - [[2302.14578](https://arxiv.org/abs/2302.14578)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14578.md)].
- A Little Bit Attention Is All You Need for Person Re-Identification - [[2302.14574](https://arxiv.org/abs/2302.14574)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14574.md)].
- A Hierarchical Representation Network for Accurate and Detailed Face   Reconstruction from In-The-Wild Images - [[2302.14434](https://arxiv.org/abs/2302.14434)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14434.md)].
- DREAM: Efficient Dataset Distillation by Representative Matching - [[2302.14416](https://arxiv.org/abs/2302.14416)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14416.md)].
- GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue   Generation - [[2302.14401](https://arxiv.org/abs/2302.14401)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14401.md)].
- HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of   Indoor Scenes with Iterative Intertwined Regularization - [[2302.14340](https://arxiv.org/abs/2302.14340)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14340.md)].
- BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View   Images - [[2302.14325](https://arxiv.org/abs/2302.14325)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14325.md)].
- Towards Memory- and Time-Efficient Backpropagation for Training Spiking   Neural Networks - [[2302.14311](https://arxiv.org/abs/2302.14311)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14311.md)].
- Learning to Retain while Acquiring: Combating Distribution-Shift in   Adversarial Data-Free Knowledge Distillation - [[2302.14290](https://arxiv.org/abs/2302.14290)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14290.md)].
- Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense   Video Captioning - [[2302.14115](https://arxiv.org/abs/2302.14115)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14115.md)].
- Internet Explorer: Targeted Representation Learning on the Open Web - [[2302.14051](https://arxiv.org/abs/2302.14051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14051.md)].
- Language Is Not All You Need: Aligning Perception with Language Models - [[2302.14045](https://arxiv.org/abs/2302.14045)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.14045.md)].
- LLaMA: Open and Efficient Foundation Language Models - [[2302.13971](https://arxiv.org/abs/2302.13971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.13971.md)].
- Communication-efficient Federated Learning with Single-Step Synthetic   Features Compressor for Faster Convergence - [[2302.13562](https://arxiv.org/abs/2302.13562)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.13562.md)].
- Navigating the Grey Area: Expressions of Overconfidence and Uncertainty   in Language Models - [[2302.13439](https://arxiv.org/abs/2302.13439)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.13439.md)].
- Self-similarity Driven Scale-invariant Learning for Weakly Supervised   Person Search - [[2302.12986](https://arxiv.org/abs/2302.12986)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.12986.md)].
- Control flow in active inference systems - [[2303.1514](https://arxiv.org/abs/2303.1514)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2303.1514.md)].
- From Occlusion to Insight: Object Search in Semantic Shelves using Large   Language Models - [[2302.12915](https://arxiv.org/abs/2302.12915)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.12915.md)].
- SplineCam: Exact Visualization and Characterization of Deep Network   Geometry and Decision Boundaries - [[2302.12828](https://arxiv.org/abs/2302.12828)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.12828.md)].
- Automatic Prompt Augmentation and Selection with Chain-of-Thought from   Labeled Data - [[2302.12822](https://arxiv.org/abs/2302.12822)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.12822.md)].
- VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene   Completion - [[2302.12251](https://arxiv.org/abs/2302.12251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.12251.md)].
- Active Prompting with Chain-of-Thought for Large Language Models - [[2302.12246](https://arxiv.org/abs/2302.12246)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.12246.md)].
- Aligning Text-to-Image Models using Human Feedback - [[2302.12192](https://arxiv.org/abs/2302.12192)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.12192.md)].
- Can Pre-trained Vision and Language Models Answer Visual   Information-Seeking Questions? - [[2302.11713](https://arxiv.org/abs/2302.11713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.11713.md)].
- Some Might Say All You Need Is Sum - [[2302.11603](https://arxiv.org/abs/2302.11603)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.11603.md)].
- Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via   Self-supervised Scene Decomposition - [[2302.11566](https://arxiv.org/abs/2302.11566)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.11566.md)].
- Distributionally Robust Recourse Action - [[2302.11211](https://arxiv.org/abs/2302.11211)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.11211.md)].
- Open-domain Visual Entity Recognition: Towards Recognizing Millions of   Wikipedia Entities - [[2302.11154](https://arxiv.org/abs/2302.11154)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.11154.md)].
- Hyena Hierarchy: Towards Larger Convolutional Language Models - [[2302.10866](https://arxiv.org/abs/2302.10866)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.10866.md)].
- Prompt Stealing Attacks Against Text-to-Image Generation Models - [[2302.09923](https://arxiv.org/abs/2302.09923)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.09923.md)].
- EuroCrops: All you need to know about the Largest Harmonised Open Crop   Dataset Across the European Union - [[2302.10202](https://arxiv.org/abs/2302.10202)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.10202.md)].
- ChatGPT for Robotics: Design Principles and Model Abilities - [[2306.17582](https://arxiv.org/abs/2306.17582)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2306.17582.md)].
- Weakly Supervised Label Learning Flows - [[2302.09649](https://arxiv.org/abs/2302.09649)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.09649.md)].
- Temporal Interpolation Is All You Need for Dynamic Neural Radiance   Fields - [[2302.09311](https://arxiv.org/abs/2302.09311)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.09311.md)].
- Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A   Survey - [[2302.09270](https://arxiv.org/abs/2302.09270)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.09270.md)].
- Complex QA and language models hybrid architectures, Survey - [[2302.09051](https://arxiv.org/abs/2302.09051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.09051.md)].
- Are Gaussian data all you need? Extents and limits of universality in   high-dimensional generalized linear estimation - [[2302.08923](https://arxiv.org/abs/2302.08923)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.08923.md)].
- A survey on online active learning - [[2302.08893](https://arxiv.org/abs/2302.08893)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.08893.md)].
- Conformers are All You Need for Visual Speech Recogntion - [[2302.10915](https://arxiv.org/abs/2302.10915)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.10915.md)].
- 3D-aware Conditional Image Synthesis - [[2302.08509](https://arxiv.org/abs/2302.08509)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.08509.md)].
- PersonNeRF: Personalized Reconstruction from Photo Collections - [[2302.08504](https://arxiv.org/abs/2302.08504)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.08504.md)].
- Tuning computer vision models with task rewards - [[2302.08242](https://arxiv.org/abs/2302.08242)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.08242.md)].
- Aligning Language Models with Preferences through f-divergence   Minimization - [[2302.08215](https://arxiv.org/abs/2302.08215)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.08215.md)].
- Parallax-Tolerant Unsupervised Deep Image Stitching - [[2302.08207](https://arxiv.org/abs/2302.08207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.08207.md)].
- À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable   Prompting - [[2302.07994](https://arxiv.org/abs/2302.07994)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.07994.md)].
- One-Shot Face Video Re-enactment using Hybrid Latent Spaces of StyleGAN2 - [[2302.07848](https://arxiv.org/abs/2302.07848)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.07848.md)].
- Augmented Language Models: a Survey - [[2302.07842](https://arxiv.org/abs/2302.07842)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.07842.md)].
- Video Probabilistic Diffusion Models in Projected Latent Space - [[2302.07685](https://arxiv.org/abs/2302.07685)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.07685.md)].
- LiveHand: Real-time and Photorealistic Neural Hand Rendering - [[2302.07672](https://arxiv.org/abs/2302.07672)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.07672.md)].
- The Capacity for Moral Self-Correction in Large Language Models - [[2302.07459](https://arxiv.org/abs/2302.07459)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.07459.md)].
- PolyFormer: Referring Image Segmentation as Sequential Polygon   Generation - [[2302.07387](https://arxiv.org/abs/2302.07387)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.07387.md)].
- Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single   Semantic Mask - [[2302.07224](https://arxiv.org/abs/2302.07224)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.07224.md)].
- VQ3D: Learning a 3D-Aware Generative Model on ImageNet - [[2302.06833](https://arxiv.org/abs/2302.06833)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.06833.md)].
- The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis   and Algorithm for Robust Natural Language Generation - [[2302.06784](https://arxiv.org/abs/2302.06784)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.06784.md)].
- Stitchable Neural Networks - [[2302.06586](https://arxiv.org/abs/2302.06586)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.06586.md)].
- A Reparameterized Discrete Diffusion Model for Text Generation - [[2302.05737](https://arxiv.org/abs/2302.05737)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.05737.md)].
- Compositional Exemplars for In-context Learning - [[2302.05698](https://arxiv.org/abs/2302.05698)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.05698.md)].
- Adding Conditional Control to Text-to-Image Diffusion Models - [[2302.05543](https://arxiv.org/abs/2302.05543)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.05543.md)].
- The Wisdom of Hindsight Makes Language Models Better Instruction   Followers - [[2302.05206](https://arxiv.org/abs/2302.05206)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.05206.md)].
- RelightableHands: Efficient Neural Relighting of Articulated Hand Models - [[2302.04866](https://arxiv.org/abs/2302.04866)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.04866.md)].
- Toolformer: Language Models Can Teach Themselves to Use Tools - [[2302.04761](https://arxiv.org/abs/2302.04761)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.04761.md)].
- Q-Diffusion: Quantizing Diffusion Models - [[2302.04304](https://arxiv.org/abs/2302.04304)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.04304.md)].
- On the Computational Complexity of Ethics: Moral Tractability for Minds   and Machines - [[2302.04218](https://arxiv.org/abs/2302.04218)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.04218.md)].
- GPTScore: Evaluate as You Desire - [[2302.04166](https://arxiv.org/abs/2302.04166)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.04166.md)].
- A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on   Reasoning, Hallucination, and Interactivity - [[2302.04023](https://arxiv.org/abs/2302.04023)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.04023.md)].
- Is ChatGPT a General-Purpose Natural Language Processing Task Solver? - [[2302.06476](https://arxiv.org/abs/2302.06476)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.06476.md)].
- Zero-shot Generation of Coherent Storybook from Plain Text Story using   Diffusion Models - [[2302.03900](https://arxiv.org/abs/2302.03900)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.03900.md)].
- Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based   Learning - [[2302.03848](https://arxiv.org/abs/2302.03848)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.03848.md)].
- Long Horizon Temperature Scaling - [[2302.03686](https://arxiv.org/abs/2302.03686)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.03686.md)].
- HumanMAC: Masked Motion Completion for Human Motion Prediction - [[2302.03665](https://arxiv.org/abs/2302.03665)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.03665.md)].
- Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness - [[2302.10893](https://arxiv.org/abs/2302.10893)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.10893.md)].
- Structure and Content-Guided Video Synthesis with Diffusion Models - [[2302.03011](https://arxiv.org/abs/2302.03011)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.03011.md)].
- LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale   Image-Text Retrieval - [[2302.02908](https://arxiv.org/abs/2302.02908)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.02908.md)].
- Chain of Hindsight Aligns Language Models with Feedback - [[2302.02676](https://arxiv.org/abs/2302.02676)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.02676.md)].
- Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is   All You Need - [[2302.02615](https://arxiv.org/abs/2302.02615)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.02615.md)].
- Decoupled Iterative Refinement Framework for Interacting Hands   Reconstruction from a Single RGB Image - [[2302.02410](https://arxiv.org/abs/2302.02410)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.02410.md)].
- Aligning Robot and Human Representations - [[2302.01928](https://arxiv.org/abs/2302.01928)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.01928.md)].
- MOSE: A New Dataset for Video Object Segmentation in Complex Scenes - [[2302.01872](https://arxiv.org/abs/2302.01872)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.01872.md)].
- Robust Camera Pose Refinement for Multi-Resolution Hash Encoding - [[2302.01571](https://arxiv.org/abs/2302.01571)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.01571.md)].
- Describe, Explain, Plan and Select: Interactive Planning with Large   Language Models Enables Open-World Multi-Task Agents - [[2302.01560](https://arxiv.org/abs/2302.01560)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.01560.md)].
- Inference in Non-stationary High-Dimensional VARs - [[2302.1434](https://arxiv.org/abs/2302.1434)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.1434.md)].
- Accelerating Policy Gradient by Estimating Value Function from Prior   Computation in Deep Reinforcement Learning - [[2302.01399](https://arxiv.org/abs/2302.01399)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.01399.md)].
- Accelerating Large Language Model Decoding with Speculative Sampling - [[2302.01318](https://arxiv.org/abs/2302.01318)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.01318.md)].
- Are Diffusion Models Vulnerable to Membership Inference Attacks? - [[2302.01316](https://arxiv.org/abs/2302.01316)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.01316.md)].
- Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using   Pixel-aligned Reconstruction Priors - [[2302.01162](https://arxiv.org/abs/2302.01162)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.01162.md)].
- HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised   Learning - [[2302.00988](https://arxiv.org/abs/2302.00988)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.00988.md)].
- Multimodal Chain-of-Thought Reasoning in Language Models - [[2302.00923](https://arxiv.org/abs/2302.00923)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.00923.md)].
- Collaborating with language models for embodied reasoning - [[2302.00763](https://arxiv.org/abs/2302.00763)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.00763.md)].
- Synthetic Prompting: Generating Chain-of-Thought Demonstrations for   Large Language Models - [[2302.00618](https://arxiv.org/abs/2302.00618)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.00618.md)].
- Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video   Relation Detection - [[2302.00268](https://arxiv.org/abs/2302.00268)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.00268.md)].

### January 2023
- Learning Universal Policies via Text-Guided Video Generation - [[2302.00111](https://arxiv.org/abs/2302.00111)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.00111.md)].
- Large Language Models Can Be Easily Distracted by Irrelevant Context - [[2302.00093](https://arxiv.org/abs/2302.00093)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.00093.md)].
- Debiasing Vision-Language Models via Biased Prompts - [[2302.00070](https://arxiv.org/abs/2302.00070)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.00070.md)].
- Grounding Language Models to Images for Multimodal Inputs and Outputs - [[2301.13823](https://arxiv.org/abs/2301.13823)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.13823.md)].
- Large Language Models are Versatile Decomposers: Decompose Evidence and   Questions for Table-based Reasoning - [[2301.13808](https://arxiv.org/abs/2301.13808)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.13808.md)].
- The Flan Collection: Designing Data and Methods for Effective   Instruction Tuning - [[2301.13688](https://arxiv.org/abs/2301.13688)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.13688.md)].
- Anti-Exploration by Random Network Distillation - [[2301.13616](https://arxiv.org/abs/2301.13616)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.13616.md)].
- Faithful Chain-of-Thought Reasoning - [[2301.13379](https://arxiv.org/abs/2301.13379)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.13379.md)].
- Neural Operator: Is data all you need to model the world? An insight   into the impact of Physics Informed Machine Learning - [[2301.13331](https://arxiv.org/abs/2301.13331)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.13331.md)].
- GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis - [[2301.12959](https://arxiv.org/abs/2301.12959)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.12959.md)].
- DepGraph: Towards Any Structural Pruning - [[2301.12900](https://arxiv.org/abs/2301.12900)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.12900.md)].
- Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and   Toxicity - [[2301.12867](https://arxiv.org/abs/2301.12867)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.12867.md)].
- Specializing Smaller Language Models towards Multi-Step Reasoning - [[2301.12726](https://arxiv.org/abs/2301.12726)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.12726.md)].
- Adversarial Style Augmentation for Domain Generalization - [[2301.12643](https://arxiv.org/abs/2301.12643)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.12643.md)].
- BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image   Encoders and Large Language Models - [[2301.12597](https://arxiv.org/abs/2301.12597)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.12597.md)].
- Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making   using Language Guided World Modelling - [[2301.12050](https://arxiv.org/abs/2301.12050)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.12050.md)].
- Understanding the Effectiveness of Very Large Language Models on Dialog   Evaluation - [[2301.12004](https://arxiv.org/abs/2301.12004)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.12004.md)].
- Generalized Munchausen Reinforcement Learning using Tsallis KL   Divergence - [[2301.11476](https://arxiv.org/abs/2301.11476)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.11476.md)].
- Cut and Learn for Unsupervised Object Detection and Instance   Segmentation - [[2301.11320](https://arxiv.org/abs/2301.11320)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.11320.md)].
- Principled Reinforcement Learning with Human Feedback from Pairwise or   $K$-wise Comparisons - [[2301.11270](https://arxiv.org/abs/2301.11270)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.11270.md)].
- On the Importance of Noise Scheduling for Diffusion Models - [[2301.10972](https://arxiv.org/abs/2301.10972)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.10972.md)].
- Causal Reasoning of Entities and Events in Procedural Texts - [[2301.10896](https://arxiv.org/abs/2301.10896)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.10896.md)].
- ExaRanker: Explanation-Augmented Neural Ranker - [[2301.10521](https://arxiv.org/abs/2301.10521)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.10521.md)].
- HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling - [[2301.10460](https://arxiv.org/abs/2301.10460)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.10460.md)].
- Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation - [[2301.10100](https://arxiv.org/abs/2301.10100)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.10100.md)].
- HexPlane: A Fast Representation for Dynamic Scenes - [[2301.09632](https://arxiv.org/abs/2301.09632)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.09632.md)].
- GP-NAS-ensemble: a model for NAS Performance Prediction - [[2301.09231](https://arxiv.org/abs/2301.09231)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.09231.md)].
- BallGAN: 3D-aware Image Synthesis with a Spherical Background - [[2301.09091](https://arxiv.org/abs/2301.09091)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.09091.md)].
- FlatFormer: Flattened Window Attention for Efficient Point Cloud   Transformer - [[2301.08739](https://arxiv.org/abs/2301.08739)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.08739.md)].
- Neural Architecture Search: Insights from 1000 Papers - [[2301.08727](https://arxiv.org/abs/2301.08727)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.08727.md)].
- NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via   Novel-View Synthesis - [[2301.08556](https://arxiv.org/abs/2301.08556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.08556.md)].
- OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic   Perception, Reconstruction and Generation - [[2301.07525](https://arxiv.org/abs/2301.07525)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.07525.md)].
- Understanding the Role of Human Intuition on Reliance in Human-AI   Decision-Making with Explanations - [[2301.07255](https://arxiv.org/abs/2301.07255)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.07255.md)].
- A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View   Synthesis and Implicit Scene Reconstruction - [[2301.06782](https://arxiv.org/abs/2301.06782)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.06782.md)].
- FemtoDet: An Object Detection Baseline for Energy Versus Performance   Tradeoffs - [[2301.06719](https://arxiv.org/abs/2301.06719)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.06719.md)].
- Dissociating language and thought in large language models: a cognitive   perspective - [[2301.06627](https://arxiv.org/abs/2301.06627)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.06627.md)].
- DPE: Disentanglement of Pose and Expression for General Video Portrait   Editing - [[2301.06281](https://arxiv.org/abs/2301.06281)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.06281.md)].
- Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with   Multimodal Models - [[2301.06267](https://arxiv.org/abs/2301.06267)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.06267.md)].
- DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets - [[2301.06051](https://arxiv.org/abs/2301.06051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.06051.md)].
- TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real   World - [[2301.05880](https://arxiv.org/abs/2301.05880)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.05880.md)].
- Leveraging Large Language Models to Power Chatbots for Collecting User   Self-Reported Data - [[2301.05843](https://arxiv.org/abs/2301.05843)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.05843.md)].
- Open-vocabulary Object Segmentation with Diffusion Models - [[2301.05221](https://arxiv.org/abs/2301.05221)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.05221.md)].
- Learning to Memorize Entailment and Discourse Relations for   Persona-Consistent Dialogues - [[2301.04871](https://arxiv.org/abs/2301.04871)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.04871.md)].
- LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis - [[2301.04604](https://arxiv.org/abs/2301.04604)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.04604.md)].
- ChatGPT is not all you need. A State of the Art Review of large   Generative AI models - [[2301.04655](https://arxiv.org/abs/2301.04655)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.04655.md)].
- Pruning Compact ConvNets for Efficient Inference - [[2301.04502](https://arxiv.org/abs/2301.04502)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.04502.md)].
- Mastering Diverse Domains through World Models - [[2301.04104](https://arxiv.org/abs/2301.04104)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.04104.md)].
- FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D   Detection - [[2301.04467](https://arxiv.org/abs/2301.04467)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.04467.md)].
- Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in   Complex 3D Environments - [[2301.02667](https://arxiv.org/abs/2301.02667)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.02667.md)].
- STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition - [[2301.03046](https://arxiv.org/abs/2301.03046)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.03046.md)].
- A Survey on Transformers in Reinforcement Learning - [[2301.03044](https://arxiv.org/abs/2301.03044)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.03044.md)].
- MoreauGrad: Sparse and Robust Interpretation of Neural Networks via   Moreau Envelope - [[2302.05294](https://arxiv.org/abs/2302.05294)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2302.05294.md)].
- Learning Support and Trivial Prototypes for Interpretable Image   Classification - [[2301.04011](https://arxiv.org/abs/2301.04011)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.04011.md)].
- InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers - [[2301.02998](https://arxiv.org/abs/2301.02998)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.02998.md)].
- You Truly Understand What I Need: Intellectual and Friendly Dialogue   Agents grounding Knowledge and Persona - [[2301.02401](https://arxiv.org/abs/2301.02401)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.02401.md)].
- Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane   Detection - [[2301.02371](https://arxiv.org/abs/2301.02371)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.02371.md)].
- Object as Query: Lifting any 2D Object Detector to 3D Detection - [[2301.02364](https://arxiv.org/abs/2301.02364)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.02364.md)].
- Robust Dynamic Radiance Fields - [[2301.02239](https://arxiv.org/abs/2301.02239)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.02239.md)].
- Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers - [[2301.02111](https://arxiv.org/abs/2301.02111)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.02111.md)].
- Learning Trajectory-Word Alignments for Video-Language Tasks - [[2301.01953](https://arxiv.org/abs/2301.01953)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01953.md)].
- SPRING: Situated Conversation Agent Pretrained with Multimodal Questions   from Incremental Layout Graph - [[2301.01949](https://arxiv.org/abs/2301.01949)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01949.md)].
- Event Camera Data Pre-training - [[2301.01928](https://arxiv.org/abs/2301.01928)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01928.md)].
- GIVL: Improving Geographical Inclusivity of Vision-Language Models with   Pre-Training Methods - [[2301.01893](https://arxiv.org/abs/2301.01893)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01893.md)].
- InPars-v2: Large Language Models as Efficient Dataset Generators for   Information Retrieval - [[2301.01820](https://arxiv.org/abs/2301.01820)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01820.md)].
- Unsupervised Manifold Linearizing and Clustering - [[2301.01805](https://arxiv.org/abs/2301.01805)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01805.md)].
- PACO: Parts and Attributes of Common Objects - [[2301.01795](https://arxiv.org/abs/2301.01795)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01795.md)].
- Self-Supervised Video Forensics by Audio-Visual Anomaly Detection - [[2301.01767](https://arxiv.org/abs/2301.01767)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01767.md)].
- Iterated Decomposition: Improving Science Q&amp;A by Supervising Reasoning   Processes - [[2301.01751](https://arxiv.org/abs/2301.01751)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01751.md)].
- RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline   Model and DoF-based Curriculum Learning - [[2301.01661](https://arxiv.org/abs/2301.01661)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01661.md)].
- Ego-Only: Egocentric Action Detection without Exocentric Transferring - [[2301.01380](https://arxiv.org/abs/2301.01380)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01380.md)].
- Cross Modal Transformer: Towards Fast and Robust 3D Object Detection - [[2301.01283](https://arxiv.org/abs/2301.01283)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01283.md)].
- Rethinking Mobile Block for Efficient Attention-based Models - [[2301.01146](https://arxiv.org/abs/2301.01146)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01146.md)].
- One-Time Universal Hashing Quantum Digital Signatures without Perfect   Keys - [[2301.1132](https://arxiv.org/abs/2301.1132)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.1132.md)].
- STEPs: Self-Supervised Key Step Extraction and Localization from   Unlabeled Procedural Videos - [[2301.00794](https://arxiv.org/abs/2301.00794)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.00794.md)].
- CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection - [[2301.00785](https://arxiv.org/abs/2301.00785)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.00785.md)].
- Efficient On-device Training via Gradient Filtering - [[2301.00330](https://arxiv.org/abs/2301.00330)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.00330.md)].
</div></details>
<details open><summary><strong>2022</strong></summary><div>

### December 2022
- Rethinking with Retrieval: Faithful Large Language Model Inference - [[2301.00303](https://arxiv.org/abs/2301.00303)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.00303.md)].
- A Survey on In-context Learning - [[2301.00234](https://arxiv.org/abs/2301.00234)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.00234.md)].
- Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples - [[2301.01217](https://arxiv.org/abs/2301.01217)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01217.md)].
- Tracing the Origin of Adversarial Attack for Forensic Investigation and   Deterrence - [[2301.01218](https://arxiv.org/abs/2301.01218)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.01218.md)].
- Imitator: Personalized Speech-driven 3D Facial Animation - [[2301.00023](https://arxiv.org/abs/2301.00023)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.00023.md)].
- NIRVANA: Neural Implicit Representations of Videos with Adaptive   Networks and Autoregressive Patch-wise Modeling - [[2212.14593](https://arxiv.org/abs/2212.14593)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.14593.md)].
- Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial   Representation Learning - [[2212.14532](https://arxiv.org/abs/2212.14532)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.14532.md)].
- Effects of Data Geometry in Early Deep Learning - [[2301.00008](https://arxiv.org/abs/2301.00008)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2301.00008.md)].
- Foreground-Background Separation through Concept Distillation from   Generative Image Foundation Models - [[2212.14306](https://arxiv.org/abs/2212.14306)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.14306.md)].
- Discriminator-Cooperated Feature Map Distillation for GAN Compression - [[2212.14169](https://arxiv.org/abs/2212.14169)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.14169.md)].
- Cramming: Training a Language Model on a Single GPU in One Day - [[2212.14034](https://arxiv.org/abs/2212.14034)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.14034.md)].
- Demonstrate-Search-Predict: Composing retrieval and language models for   knowledge-intensive NLP - [[2212.14024](https://arxiv.org/abs/2212.14024)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.14024.md)].
- Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and   Text-to-Image Diffusion Models - [[2212.14704](https://arxiv.org/abs/2212.14704)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.14704.md)].
- Noise-aware Learning from Web-crawled Image-Text Data for Image   Captioning - [[2212.13563](https://arxiv.org/abs/2212.13563)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.13563.md)].
- Behavioral Cloning via Search in Video PreTraining Latent Space - [[2212.13326](https://arxiv.org/abs/2212.13326)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.13326.md)].
- Large Language Models Encode Clinical Knowledge - [[2212.13138](https://arxiv.org/abs/2212.13138)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.13138.md)].
- SMMix: Self-Motivated Image Mixing for Vision Transformers - [[2212.12977](https://arxiv.org/abs/2212.12977)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.12977.md)].
- When Do Curricula Work in Federated Learning? - [[2212.12712](https://arxiv.org/abs/2212.12712)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.12712.md)].
- On Realization of Intelligent Decision-Making in the Real World: A   Foundation Decision Model Perspective - [[2212.12669](https://arxiv.org/abs/2212.12669)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.12669.md)].
- Detecting Objects with Context-Likelihood Graphs and Graph Refinement - [[2212.12395](https://arxiv.org/abs/2212.12395)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.12395.md)].
- A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic   Inference - [[2212.12393](https://arxiv.org/abs/2212.12393)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.12393.md)].
- Do DALL-E and Flamingo Understand Each Other? - [[2212.12249](https://arxiv.org/abs/2212.12249)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.12249.md)].
- OPT-IML: Scaling Language Model Instruction Meta Learning through the   Lens of Generalization - [[2212.12017](https://arxiv.org/abs/2212.12017)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.12017.md)].
- Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized   Photography - [[2212.12324](https://arxiv.org/abs/2212.12324)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.12324.md)].
- Markov Categories and Entropy - [[2212.11719](https://arxiv.org/abs/2212.11719)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.11719.md)].
- Text Generation with Diffusion Language Models: A Pre-training Approach   with Continuous Paragraph Denoise - [[2212.11685](https://arxiv.org/abs/2212.11685)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.11685.md)].
- DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders - [[2212.11613](https://arxiv.org/abs/2212.11613)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.11613.md)].
- Tune-A-Video: One-Shot Tuning of Image Diffusion Models for   Text-to-Video Generation - [[2212.11565](https://arxiv.org/abs/2212.11565)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.11565.md)].
- Generalized Decoding for Pixel, Image, and Language - [[2212.11270](https://arxiv.org/abs/2212.11270)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.11270.md)].
- 3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions - [[2212.11263](https://arxiv.org/abs/2212.11263)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.11263.md)].
- Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from   Sparse Image Ensemble - [[2212.11042](https://arxiv.org/abs/2212.11042)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.11042.md)].
- TruFor: Leveraging all-round clues for trustworthy image forgery   detection and localization - [[2212.10957](https://arxiv.org/abs/2212.10957)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10957.md)].
- Critic-Guided Decoding for Controlled Text Generation - [[2212.10938](https://arxiv.org/abs/2212.10938)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10938.md)].
- In-Sensor &amp; Neuromorphic Computing are all you need for Energy Efficient   Computer Vision - [[2212.10881](https://arxiv.org/abs/2212.10881)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10881.md)].
- MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction   Tuning - [[2212.10773](https://arxiv.org/abs/2212.10773)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10773.md)].
- MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via   Moral Discussions - [[2212.10720](https://arxiv.org/abs/2212.10720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10720.md)].
- Analyzing Semantic Faithfulness of Language Models via Input   Intervention on Conversational Question Answering - [[2212.10696](https://arxiv.org/abs/2212.10696)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10696.md)].
- Full-Body Articulated Human-Object Interaction - [[2212.10621](https://arxiv.org/abs/2212.10621)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10621.md)].
- Ontologically Faithful Generation of Non-Player Character Dialogues - [[2212.10618](https://arxiv.org/abs/2212.10618)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10618.md)].
- Why Can GPT Learn In-Context? Language Models Implicitly Perform   Gradient Descent as Meta-Optimizers - [[2212.10559](https://arxiv.org/abs/2212.10559)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10559.md)].
- Unleashing the Power of Visual Prompting At the Pixel Level - [[2212.10556](https://arxiv.org/abs/2212.10556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10556.md)].
- A Survey of Deep Learning for Mathematical Reasoning - [[2212.10535](https://arxiv.org/abs/2212.10535)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10535.md)].
- Interleaving Retrieval with Chain-of-Thought Reasoning for   Knowledge-Intensive Multi-Step Questions - [[2212.10509](https://arxiv.org/abs/2212.10509)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10509.md)].
- Precise Zero-Shot Dense Retrieval without Relevance Labels - [[2212.10496](https://arxiv.org/abs/2212.10496)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10496.md)].
- LAMBADA: Backward Chaining for Automated Reasoning in Natural Language - [[2212.13894](https://arxiv.org/abs/2212.13894)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.13894.md)].
- Controllable Text Generation with Language Constraints - [[2212.10466](https://arxiv.org/abs/2212.10466)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10466.md)].
- Towards Reasoning in Large Language Models: A Survey - [[2212.10403](https://arxiv.org/abs/2212.10403)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10403.md)].
- SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers - [[2212.10325](https://arxiv.org/abs/2212.10325)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10325.md)].
- ReCode: Robustness Evaluation of Code Generation Models - [[2212.10264](https://arxiv.org/abs/2212.10264)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10264.md)].
- StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for   One-shot and Few-shot Domain Adaptation - [[2212.10229](https://arxiv.org/abs/2212.10229)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10229.md)].
- Hoyer regularizer is all you need for ultra low-latency spiking neural   networks - [[2212.10170](https://arxiv.org/abs/2212.10170)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10170.md)].
- Large Language Models Are Reasoning Teachers - [[2212.10071](https://arxiv.org/abs/2212.10071)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10071.md)].
- I Cast Detect Thoughts: Learning to Converse and Guide with Intents and   Theory-of-Mind in Dungeons and Dragons - [[2212.10060](https://arxiv.org/abs/2212.10060)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10060.md)].
- Towards Understanding Chain-of-Thought Prompting: An Empirical Study of   What Matters - [[2212.10001](https://arxiv.org/abs/2212.10001)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.10001.md)].
- Panoptic Lifting for 3D Scene Understanding with Neural Fields - [[2212.09802](https://arxiv.org/abs/2212.09802)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09802.md)].
- Denotationally Correct, Purely Functional, Efficient Reverse-mode   Automatic Differentiation - [[2212.09801](https://arxiv.org/abs/2212.09801)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09801.md)].
- Scalable Diffusion Models with Transformers - [[2212.09748](https://arxiv.org/abs/2212.09748)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09748.md)].
- One Embedder, Any Task: Instruction-Finetuned Text Embeddings - [[2212.09741](https://arxiv.org/abs/2212.09741)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09741.md)].
- Position-guided Text Prompt for Vision-Language Pre-training - [[2212.09737](https://arxiv.org/abs/2212.09737)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09737.md)].
- Don't Generate, Discriminate: A Proposal for Grounding Language Models   to Real-World Environments - [[2212.09736](https://arxiv.org/abs/2212.09736)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09736.md)].
- A Probabilistic Framework for Lifelong Test-Time Adaptation - [[2212.09713](https://arxiv.org/abs/2212.09713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09713.md)].
- Reasoning with Language Model Prompting: A Survey - [[2212.09597](https://arxiv.org/abs/2212.09597)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09597.md)].
- Large Language Models are Better Reasoners with Self-Verification - [[2212.09561](https://arxiv.org/abs/2212.09561)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09561.md)].
- MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and   Video Generation - [[2212.09478](https://arxiv.org/abs/2212.09478)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09478.md)].
- Latent Diffusion for Language Generation - [[2212.09462](https://arxiv.org/abs/2212.09462)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09462.md)].
- Difformer: Empowering Diffusion Models on the Embedding Space for Text   Generation - [[2212.09412](https://arxiv.org/abs/2212.09412)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09412.md)].
- Out-of-domain GAN inversion via Invertibility Decomposition for   Photo-Realistic Human Face Manipulation - [[2212.09262](https://arxiv.org/abs/2212.09262)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09262.md)].
- Discovering Language Model Behaviors with Model-Written Evaluations - [[2212.09251](https://arxiv.org/abs/2212.09251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09251.md)].
- PAL: Persona-Augmented Emotional Support Conversation Generation - [[2212.09235](https://arxiv.org/abs/2212.09235)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09235.md)].
- Emergent Analogical Reasoning in Large Language Models - [[2212.09196](https://arxiv.org/abs/2212.09196)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09196.md)].
- Don't Forget Your ABC's: Evaluating the State-of-the-Art in   Chat-Oriented Dialogue Systems - [[2212.09180](https://arxiv.org/abs/2212.09180)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09180.md)].
- Can Retriever-Augmented Language Models Reason? The Blame Game Between   the Retriever and the Language Model - [[2212.09146](https://arxiv.org/abs/2212.09146)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09146.md)].
- Let's Negotiate! A Survey of Negotiation Dialogue Systems - [[2212.09072](https://arxiv.org/abs/2212.09072)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09072.md)].
- Fine-Tuning Is All You Need to Mitigate Backdoor Attacks - [[2212.09067](https://arxiv.org/abs/2212.09067)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.09067.md)].
- The Impact of Symbolic Representations on In-context Learning for   Few-shot Reasoning - [[2212.08686](https://arxiv.org/abs/2212.08686)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08686.md)].
- Attentive Mask CLIP - [[2212.08653](https://arxiv.org/abs/2212.08653)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08653.md)].
- GFPose: Learning 3D Human Pose Prior with Gradient Fields - [[2212.08641](https://arxiv.org/abs/2212.08641)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08641.md)].
- Learnable Commutative Monoids for Graph Neural Networks - [[2212.08541](https://arxiv.org/abs/2212.08541)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08541.md)].
- Teaching Small Language Models to Reason - [[2212.08410](https://arxiv.org/abs/2212.08410)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08410.md)].
- RepQ-ViT: Scale Reparameterization for Post-Training Quantization of   Vision Transformers - [[2212.08254](https://arxiv.org/abs/2212.08254)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08254.md)].
- Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue   Systems - [[2212.08120](https://arxiv.org/abs/2212.08120)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08120.md)].
- On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in   Zero-Shot Reasoning - [[2212.08061](https://arxiv.org/abs/2212.08061)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08061.md)].
- Rethinking Vision Transformers for MobileNet Size and Speed - [[2212.08059](https://arxiv.org/abs/2212.08059)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08059.md)].
- Real-Time Neural Light Field on Mobile Devices - [[2212.08057](https://arxiv.org/abs/2212.08057)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08057.md)].
- Constitutional AI: Harmlessness from AI Feedback - [[2212.08073](https://arxiv.org/abs/2212.08073)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.08073.md)].
- Enhanced Training of Query-Based Object Detection via Selective Query   Recollection - [[2212.07593](https://arxiv.org/abs/2212.07593)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.07593.md)].
- ECON: Explicit Clothed humans Optimized via Normal integration - [[2212.07422](https://arxiv.org/abs/2212.07422)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.07422.md)].
- NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior - [[2212.07388](https://arxiv.org/abs/2212.07388)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.07388.md)].
- HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics - [[2212.07242](https://arxiv.org/abs/2212.07242)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.07242.md)].
- PD-Quant: Post-Training Quantization based on Prediction Difference   Metric - [[2212.07048](https://arxiv.org/abs/2212.07048)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.07048.md)].
- Understanding Zero-Shot Adversarial Robustness for Large-Scale Models - [[2212.07016](https://arxiv.org/abs/2212.07016)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.07016.md)].
- EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with   Visual Queries - [[2212.06969](https://arxiv.org/abs/2212.06969)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.06969.md)].
- Structured 3D Features for Reconstructing Controllable Avatars - [[2212.06820](https://arxiv.org/abs/2212.06820)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.06820.md)].
- Learning 3D Representations from 2D Pre-trained Models via   Image-to-Point Masked Autoencoders - [[2212.06785](https://arxiv.org/abs/2212.06785)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.06785.md)].
- Category Theory for Quantum Natural Language Processing - [[2212.06615](https://arxiv.org/abs/2212.06615)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.06615.md)].
- Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning   for Salient Object Detection - [[2212.06493](https://arxiv.org/abs/2212.06493)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.06493.md)].
- DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization - [[2212.06331](https://arxiv.org/abs/2212.06331)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.06331.md)].
- Doubly Right Object Recognition: A Why Prompt for Visual Rationales - [[2212.06202](https://arxiv.org/abs/2212.06202)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.06202.md)].
- Evaluation and Improvement of Interpretability for Self-Explainable   Part-Prototype Networks - [[2212.05946](https://arxiv.org/abs/2212.05946)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.05946.md)].
- MoDem: Accelerating Visual Model-Based Reinforcement Learning with   Demonstrations - [[2212.05698](https://arxiv.org/abs/2212.05698)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.05698.md)].
- REAP: A Large-Scale Realistic Adversarial Patch Benchmark - [[2212.05680](https://arxiv.org/abs/2212.05680)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.05680.md)].
- Cross-Modal Learning with 3D Deformable Attention for Action Recognition - [[2212.05638](https://arxiv.org/abs/2212.05638)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.05638.md)].
- Source-free Depth for Object Pop-out - [[2212.05370](https://arxiv.org/abs/2212.05370)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.05370.md)].
- Position Embedding Needs an Independent Layer Normalization - [[2212.05262](https://arxiv.org/abs/2212.05262)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.05262.md)].
- NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view   Reconstruction - [[2212.05231](https://arxiv.org/abs/2212.05231)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.05231.md)].
- A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One   Amplifies Others - [[2212.04825](https://arxiv.org/abs/2212.04825)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04825.md)].
- Training-Free Structured Diffusion Guidance for Compositional   Text-to-Image Synthesis - [[2212.05032](https://arxiv.org/abs/2212.05032)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.05032.md)].
- Genie: Show Me the Data for Quantization - [[2212.04780](https://arxiv.org/abs/2212.04780)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04780.md)].
- SLAM for Visually Impaired Navigation: A Systematic Literature Review of   the Current State of Research - [[2212.04745](https://arxiv.org/abs/2212.04745)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04745.md)].
- MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video   Prediction - [[2212.04655](https://arxiv.org/abs/2212.04655)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04655.md)].
- Structured Like a Language Model: Analysing AI as an Automated Subject - [[2212.05058](https://arxiv.org/abs/2212.05058)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.05058.md)].
- Multi-Concept Customization of Text-to-Image Diffusion - [[2212.04488](https://arxiv.org/abs/2212.04488)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04488.md)].
- BEVBert: Multimodal Map Pre-training for Language-guided Navigation - [[2212.04385](https://arxiv.org/abs/2212.04385)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04385.md)].
- On the Robustness of Normalizing Flows for Inverse Problems in Imaging - [[2212.04319](https://arxiv.org/abs/2212.04319)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04319.md)].
- Decorate the Newcomers: Visual Domain Prompt for Continual Test Time   Adaptation - [[2212.04145](https://arxiv.org/abs/2212.04145)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04145.md)].
- Deep Incubation: Training Large Models by Divide-and-Conquering - [[2212.04129](https://arxiv.org/abs/2212.04129)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04129.md)].
- Successive Prompting for Decomposing Complex Questions - [[2212.04092](https://arxiv.org/abs/2212.04092)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04092.md)].
- LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large   Language Models - [[2212.04088](https://arxiv.org/abs/2212.04088)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04088.md)].
- Teaching Matters: Investigating the Role of Supervision in Vision   Transformers - [[2212.03862](https://arxiv.org/abs/2212.03862)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.03862.md)].
- Talking Head Generation with Probabilistic Audio-to-Visual Diffusion   Priors - [[2212.04248](https://arxiv.org/abs/2212.04248)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04248.md)].
- FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance   Generation - [[2212.03741](https://arxiv.org/abs/2212.03741)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.03741.md)].
- EditableNeRF: Editing Topologically Varying Neural Radiance Fields by   Key Points - [[2212.04247](https://arxiv.org/abs/2212.04247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.04247.md)].
- Diffusion-SDF: Text-to-Shape via Voxelized Diffusion - [[2212.03293](https://arxiv.org/abs/2212.03293)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.03293.md)].
- InternVideo: General Video Foundation Models via Generative and   Discriminative Learning - [[2212.03191](https://arxiv.org/abs/2212.03191)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.03191.md)].
- Adaptive Testing of Computer Vision Models - [[2212.02774](https://arxiv.org/abs/2212.02774)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.02774.md)].
- Learning Neural Parametric Head Models - [[2212.02761](https://arxiv.org/abs/2212.02761)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.02761.md)].
- SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance   Fields - [[2212.02501](https://arxiv.org/abs/2212.02501)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.02501.md)].
- Images Speak in Images: A Generalist Painter for In-Context Visual   Learning - [[2212.02499](https://arxiv.org/abs/2212.02499)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.02499.md)].
- PEANUT: Predicting and Navigating to Unseen Targets - [[2212.02497](https://arxiv.org/abs/2212.02497)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.02497.md)].
- One-shot Implicit Animatable Avatars with Model-based Priors - [[2212.02469](https://arxiv.org/abs/2212.02469)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.02469.md)].
- Momentum Decoding: Open-ended Text Generation As Graph Exploration - [[2212.02175](https://arxiv.org/abs/2212.02175)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.02175.md)].
- Multiscale Structure Guided Diffusion for Image Deblurring - [[2212.01789](https://arxiv.org/abs/2212.01789)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.01789.md)].
- Fast Point Cloud Generation with Straight Flows - [[2212.01747](https://arxiv.org/abs/2212.01747)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.01747.md)].
- StegaNeRF: Embedding Invisible Information within Neural Radiance Fields - [[2212.01602](https://arxiv.org/abs/2212.01602)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.01602.md)].
- PGFed: Personalize Each Client's Global Objective for Federated Learning - [[2212.01448](https://arxiv.org/abs/2212.01448)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.01448.md)].
- Moving Beyond Downstream Task Accuracy for Information Retrieval   Benchmarking - [[2212.01340](https://arxiv.org/abs/2212.01340)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.01340.md)].
- DiffRF: Rendering-Guided 3D Radiance Field Diffusion - [[2212.01206](https://arxiv.org/abs/2212.01206)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.01206.md)].
- RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive   AR/VR Rendering - [[2212.01120](https://arxiv.org/abs/2212.01120)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.01120.md)].
- Are Straight-Through gradients and Soft-Thresholding all you need for   Sparse Training? - [[2212.01076](https://arxiv.org/abs/2212.01076)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.01076.md)].
- 3D Segmentation of Humans in Point Clouds with Synthetic Data - [[2212.00786](https://arxiv.org/abs/2212.00786)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.00786.md)].
- ResFormer: Scaling ViTs with Multi-Resolution Training - [[2212.00776](https://arxiv.org/abs/2212.00776)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.00776.md)].
- Exploiting Proximity-Aware Tasks for Embodied Social Navigation - [[2212.00767](https://arxiv.org/abs/2212.00767)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.00767.md)].
- Graph Convolutional Neural Networks as Parametric CoKleisli morphisms - [[2212.00542](https://arxiv.org/abs/2212.00542)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.00542.md)].
- Safe Learning-Based Control of Elastic Joint Robots via Control Barrier   Functions - [[2212.0478](https://arxiv.org/abs/2212.0478)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.0478.md)].
- Language Model Pre-training on True Negatives - [[2212.00460](https://arxiv.org/abs/2212.00460)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.00460.md)].
- Parametric Information Maximization for Generalized Category Discovery - [[2212.00334](https://arxiv.org/abs/2212.00334)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.00334.md)].
- All You Need Is Hashing: Defending Against Data Reconstruction Attack in   Vertical Federated Learning - [[2212.00325](https://arxiv.org/abs/2212.00325)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.00325.md)].
- Distilling Reasoning Capabilities into Smaller Language Models - [[2212.00193](https://arxiv.org/abs/2212.00193)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.00193.md)].

### November 2022
- Feature Selection with Distance Correlation - [[2212.0046](https://arxiv.org/abs/2212.0046)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2212.0046.md)].
- CLIPascene: Scene Sketching with Different Types and Levels of   Abstraction - [[2211.17256](https://arxiv.org/abs/2211.17256)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.17256.md)].
- Fast Inference from Transformers via Speculative Decoding - [[2211.17192](https://arxiv.org/abs/2211.17192)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.17192.md)].
- Spatio-Temporal Crop Aggregation for Video Representation Learning - [[2211.17042](https://arxiv.org/abs/2211.17042)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.17042.md)].
- NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with   360° Views - [[2211.16431](https://arxiv.org/abs/2211.16431)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.16431.md)].
- PLA: Language-Driven Open-Vocabulary 3D Scene Understanding - [[2211.16312](https://arxiv.org/abs/2211.16312)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.16312.md)].
- Out-Of-Distribution Detection Is Not All You Need - [[2211.16158](https://arxiv.org/abs/2211.16158)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.16158.md)].
- NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization   for Vision Transformers - [[2211.16056](https://arxiv.org/abs/2211.16056)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.16056.md)].
- SparsePose: Sparse-View Camera Pose Regression and Refinement - [[2211.16991](https://arxiv.org/abs/2211.16991)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.16991.md)].
- Decentralized Learning with Multi-Headed Distillation - [[2211.15774](https://arxiv.org/abs/2211.15774)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.15774.md)].
- Post-training Quantization on Diffusion Models - [[2211.15736](https://arxiv.org/abs/2211.15736)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.15736.md)].
- Is Conditional Generative Modeling all you need for Decision-Making? - [[2211.15657](https://arxiv.org/abs/2211.15657)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.15657.md)].
- SuS-X: Training-Free Name-Only Transfer of Vision-Language Models - [[2211.16198](https://arxiv.org/abs/2211.16198)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.16198.md)].
- In-Hand 3D Object Scanning from an RGB Sequence - [[2211.16193](https://arxiv.org/abs/2211.16193)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.16193.md)].
- DiffusionBERT: Improving Generative Masked Language Models with   Diffusion Models - [[2211.15029](https://arxiv.org/abs/2211.15029)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.15029.md)].
- Dense Text Retrieval based on Pretrained Language Models: A Survey - [[2211.14876](https://arxiv.org/abs/2211.14876)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.14876.md)].
- 3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection   Transformers - [[2211.14710](https://arxiv.org/abs/2211.14710)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.14710.md)].
- Towards Improved Input Masking for Convolutional Neural Networks - [[2211.14646](https://arxiv.org/abs/2211.14646)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.14646.md)].
- Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection   in Semantic Segmentation - [[2211.14512](https://arxiv.org/abs/2211.14512)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.14512.md)].
- RUST: Latent Neural Scene Representations from Unposed Imagery - [[2211.14306](https://arxiv.org/abs/2211.14306)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.14306.md)].
- BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction - [[2211.14304](https://arxiv.org/abs/2211.14304)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.14304.md)].
- RbA: Segmenting Unknown Regions Rejected by All - [[2211.14293](https://arxiv.org/abs/2211.14293)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.14293.md)].
- NeuralUDF: Learning Unsigned Distance Fields for Multi-view   Reconstruction of Surfaces with Arbitrary Topologies - [[2211.14173](https://arxiv.org/abs/2211.14173)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.14173.md)].
- ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision - [[2211.14086](https://arxiv.org/abs/2211.14086)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.14086.md)].
- SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow - [[2211.14020](https://arxiv.org/abs/2211.14020)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.14020.md)].
- MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision   Transformer with Heterogeneous Attention - [[2211.13955](https://arxiv.org/abs/2211.13955)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.13955.md)].
- FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction - [[2211.13874](https://arxiv.org/abs/2211.13874)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.13874.md)].
- SAGA: Spectral Adversarial Geometric Attack on 3D Meshes - [[2211.13775](https://arxiv.org/abs/2211.13775)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.13775.md)].
- Diffusion-SDF: Conditional Generative Modeling of Signed Distance   Functions - [[2211.13757](https://arxiv.org/abs/2211.13757)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.13757.md)].
- SfM-TTR: Using Structure from Motion for Test-Time Refinement of   Single-View Depth Networks - [[2211.13551](https://arxiv.org/abs/2211.13551)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.13551.md)].
- Video Test-Time Adaptation for Action Recognition - [[2211.15393](https://arxiv.org/abs/2211.15393)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.15393.md)].
- TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense   Question Answering - [[2211.13515](https://arxiv.org/abs/2211.13515)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.13515.md)].
- HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with   Discrete and Continuous Denoising - [[2211.13287](https://arxiv.org/abs/2211.13287)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.13287.md)].
- ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field - [[2211.13226](https://arxiv.org/abs/2211.13226)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.13226.md)].
- Lite-Mono: A Lightweight CNN and Transformer Architecture for   Self-Supervised Monocular Depth Estimation - [[2211.13202](https://arxiv.org/abs/2211.13202)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.13202.md)].
- Robust Mean Teacher for Continual and Gradual Test-Time Adaptation - [[2211.13081](https://arxiv.org/abs/2211.13081)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.13081.md)].
- OReX: Object Reconstruction from Planar Cross-sections Using Neural   Fields - [[2211.12886](https://arxiv.org/abs/2211.12886)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12886.md)].
- ActMAD: Activation Matching to Align Distributions for   Test-Time-Training - [[2211.12870](https://arxiv.org/abs/2211.12870)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12870.md)].
- BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields - [[2211.12853](https://arxiv.org/abs/2211.12853)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12853.md)].
- Texts as Images in Prompt Tuning for Multi-Label Image Recognition - [[2211.12739](https://arxiv.org/abs/2211.12739)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12739.md)].
- Integrally Pre-Trained Transformer Pyramid Networks - [[2211.12735](https://arxiv.org/abs/2211.12735)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12735.md)].
- PNI : Industrial Anomaly Detection using Position and Neighborhood   Information - [[2211.12634](https://arxiv.org/abs/2211.12634)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12634.md)].
- Program of Thoughts Prompting: Disentangling Computation from Reasoning   for Numerical Reasoning Tasks - [[2211.12588](https://arxiv.org/abs/2211.12588)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12588.md)].
- CASSPR: Cross Attention Single Scan Place Recognition - [[2211.12542](https://arxiv.org/abs/2211.12542)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12542.md)].
- Shortcomings of Top-Down Randomization-Based Sanity Checks for   Evaluations of Deep Neural Network Explanations - [[2211.12486](https://arxiv.org/abs/2211.12486)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12486.md)].
- OCTET: Object-aware Counterfactual Explanations - [[2211.12380](https://arxiv.org/abs/2211.12380)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12380.md)].
- DETRs with Collaborative Hybrid Assignments Training - [[2211.12860](https://arxiv.org/abs/2211.12860)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12860.md)].
- GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild - [[2211.12352](https://arxiv.org/abs/2211.12352)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12352.md)].
- DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle   CT Reconstruction - [[2211.12340](https://arxiv.org/abs/2211.12340)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12340.md)].
- SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural   Radiance Fields - [[2211.12254](https://arxiv.org/abs/2211.12254)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12254.md)].
- SadTalker: Learning Realistic 3D Motion Coefficients for Stylized   Audio-Driven Single Image Talking Face Animation - [[2211.12194](https://arxiv.org/abs/2211.12194)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12194.md)].
- DiffDreamer: Towards Consistent Unsupervised Single-view Scene   Extrapolation with Conditional Diffusion Models - [[2211.12131](https://arxiv.org/abs/2211.12131)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12131.md)].
- Explaining Image Classifiers with Multiscale Directional Image   Representation - [[2211.12857](https://arxiv.org/abs/2211.12857)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12857.md)].
- Level-S$^2$fM: Structure from Motion on Neural Level Set of Implicit   Surfaces - [[2211.12018](https://arxiv.org/abs/2211.12018)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.12018.md)].
- One Eye is All You Need: Lightweight Ensembles for Gaze Estimation with   Single Encoders - [[2211.11936](https://arxiv.org/abs/2211.11936)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11936.md)].
- Multi-Directional Subspace Editing in Style-Space - [[2211.11825](https://arxiv.org/abs/2211.11825)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11825.md)].
- Teaching Structured Vision&amp;Language Concepts to Vision&amp;Language Models - [[2211.11733](https://arxiv.org/abs/2211.11733)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11733.md)].
- Multitask Vision-Language Prompt Tuning - [[2211.11720](https://arxiv.org/abs/2211.11720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11720.md)].
- PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning - [[2211.11682](https://arxiv.org/abs/2211.11682)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11682.md)].
- SMAUG: Sparse Masked Autoencoder for Efficient Video-Language   Pre-training - [[2211.11446](https://arxiv.org/abs/2211.11446)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11446.md)].
- MATE: Masked Autoencoders are Online 3D Test-Time Learners - [[2211.11432](https://arxiv.org/abs/2211.11432)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11432.md)].
- SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for   Exposing Deepfakes - [[2211.11296](https://arxiv.org/abs/2211.11296)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11296.md)].
- Investigating Prompt Engineering in Diffusion Models - [[2211.15462](https://arxiv.org/abs/2211.15462)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.15462.md)].
- NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera   Localization - [[2211.11177](https://arxiv.org/abs/2211.11177)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11177.md)].
- Vision Transformer with Super Token Sampling - [[2211.11167](https://arxiv.org/abs/2211.11167)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11167.md)].
- Language in a Bottle: Language Model Guided Concept Bottlenecks for   Interpretable Image Classification - [[2211.11158](https://arxiv.org/abs/2211.11158)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11158.md)].
- You Need Multiple Exiting: Dynamic Early Exiting for Accelerating   Unified Vision Language Model - [[2211.11152](https://arxiv.org/abs/2211.11152)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11152.md)].
- DynIBaR: Neural Dynamic Image-Based Rendering - [[2211.11082](https://arxiv.org/abs/2211.11082)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11082.md)].
- The Stack: 3 TB of permissively licensed source code - [[2211.15533](https://arxiv.org/abs/2211.15533)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.15533.md)].
- Minimizing the Accumulated Trajectory Error to Improve Dataset   Distillation - [[2211.11004](https://arxiv.org/abs/2211.11004)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11004.md)].
- DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text   Spotting - [[2211.10772](https://arxiv.org/abs/2211.10772)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10772.md)].
- Parallel Diffusion Models of Operator and Image for Blind Inverse   Problems - [[2211.10656](https://arxiv.org/abs/2211.10656)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10656.md)].
- Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models - [[2211.10655](https://arxiv.org/abs/2211.10655)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10655.md)].
- LidarGait: Benchmarking 3D Gait Recognition with Point Clouds - [[2211.10598](https://arxiv.org/abs/2211.10598)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10598.md)].
- MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception - [[2211.10593](https://arxiv.org/abs/2211.10593)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10593.md)].
- Tired of Over-smoothing? Stress Graph Drawing Is All You Need! - [[2211.10579](https://arxiv.org/abs/2211.10579)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10579.md)].
- BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View   Recognition via Perspective Supervision - [[2211.10439](https://arxiv.org/abs/2211.10439)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10439.md)].
- PAL: Program-aided Language Models - [[2211.10435](https://arxiv.org/abs/2211.10435)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10435.md)].
- Visual Programming: Compositional visual reasoning without training - [[2211.11559](https://arxiv.org/abs/2211.11559)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.11559.md)].
- SPACE: Speech-driven Portrait Animation with Controllable Expression - [[2211.09809](https://arxiv.org/abs/2211.09809)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09809.md)].
- Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and   Vision-Language Tasks - [[2211.09808](https://arxiv.org/abs/2211.09808)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09808.md)].
- InstructPix2Pix: Learning to Follow Image Editing Instructions - [[2211.09800](https://arxiv.org/abs/2211.09800)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09800.md)].
- I Can't Believe There's No Images! Learning Visual Tasks Using only   Language Supervision - [[2211.09778](https://arxiv.org/abs/2211.09778)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09778.md)].
- EfficientTrain: Exploring Generalized Curriculum Learning for Training   Visual Backbones - [[2211.09703](https://arxiv.org/abs/2211.09703)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09703.md)].
- CRAFT: Concept Recursive Activation FacTorization for Explainability - [[2211.10154](https://arxiv.org/abs/2211.10154)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10154.md)].
- UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video   UniFormer - [[2211.09552](https://arxiv.org/abs/2211.09552)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09552.md)].
- DETRDistill: A Universal Knowledge Distillation Framework for   DETR-families - [[2211.10156](https://arxiv.org/abs/2211.10156)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10156.md)].
- UMFuse: Unified Multi View Fusion for Human Editing applications - [[2211.10157](https://arxiv.org/abs/2211.10157)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.10157.md)].
- Task-aware Retrieval with Instructions - [[2211.09260](https://arxiv.org/abs/2211.09260)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09260.md)].
- AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with   Masked Autoencoders - [[2211.09120](https://arxiv.org/abs/2211.09120)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09120.md)].
- Token Turing Machines - [[2211.09119](https://arxiv.org/abs/2211.09119)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09119.md)].
- MAGE: MAsked Generative Encoder to Unify Representation Learning and   Image Synthesis - [[2211.09117](https://arxiv.org/abs/2211.09117)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09117.md)].
- Holistic Evaluation of Language Models - [[2211.09110](https://arxiv.org/abs/2211.09110)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09110.md)].
- Galactica: A Large Language Model for Science - [[2211.09085](https://arxiv.org/abs/2211.09085)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09085.md)].
- Stare at What You See: Masked Image Modeling without Reconstruction - [[2211.08887](https://arxiv.org/abs/2211.08887)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.08887.md)].
- Consistent Direct Time-of-Flight Video Depth Super-Resolution - [[2211.08658](https://arxiv.org/abs/2211.08658)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.08658.md)].
- R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based   Trajectory Refinement - [[2211.08609](https://arxiv.org/abs/2211.08609)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.08609.md)].
- PromptCap: Prompt-Guided Task-Aware Image Captioning - [[2211.09699](https://arxiv.org/abs/2211.09699)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09699.md)].
- Versatile Diffusion: Text, Images and Variations All in One Diffusion   Model - [[2211.08332](https://arxiv.org/abs/2211.08332)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.08332.md)].
- Is Style All You Need? Dependencies Between Emotion and GST-based   Speaker Recognition - [[2211.08213](https://arxiv.org/abs/2211.08213)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.08213.md)].
- Teaching Algorithmic Reasoning via In-context Learning - [[2211.09066](https://arxiv.org/abs/2211.09066)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.09066.md)].
- EVA: Exploring the Limits of Masked Visual Representation Learning at   Scale - [[2211.07636](https://arxiv.org/abs/2211.07636)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.07636.md)].
- Follow the Wisdom of the Crowd: Effective Text Generation via Minimum   Bayes Risk Decoding - [[2211.07634](https://arxiv.org/abs/2211.07634)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.07634.md)].
- Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures - [[2211.07600](https://arxiv.org/abs/2211.07600)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.07600.md)].
- Imagination is All You Need! Curved Contrastive Learning for Abstract   Sequence Modeling Utilized on Long Short-Term Dialogue Planning - [[2211.07591](https://arxiv.org/abs/2211.07591)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.07591.md)].
- PKCAM: Previous Knowledge Channel Attention Module - [[2211.07521](https://arxiv.org/abs/2211.07521)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.07521.md)].
- Fcaformer: Forward Cross Attention in Hybrid Vision Transformer - [[2211.07198](https://arxiv.org/abs/2211.07198)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.07198.md)].
- ParCNetV2: Oversized Kernel with Enhanced Attention - [[2211.07157](https://arxiv.org/abs/2211.07157)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.07157.md)].
- BiViT: Extremely Compressed Binary Vision Transformer - [[2211.07091](https://arxiv.org/abs/2211.07091)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.07091.md)].
- OverFlow: Putting flows on top of neural transducers for better TTS - [[2211.06892](https://arxiv.org/abs/2211.06892)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.06892.md)].
- SCOTCH and SODA: A Transformer Video Shadow Detection Framework - [[2211.06885](https://arxiv.org/abs/2211.06885)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.06885.md)].
- What would Harry say? Building Dialogue Agents for Characters in a Story - [[2211.06869](https://arxiv.org/abs/2211.06869)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.06869.md)].
- MARLIN: Masked Autoencoder for facial video Representation LearnINg - [[2211.06627](https://arxiv.org/abs/2211.06627)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.06627.md)].
- OpenGait: Revisiting Gait Recognition Toward Better Practicality - [[2211.06597](https://arxiv.org/abs/2211.06597)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.06597.md)].
- Masked Contrastive Representation Learning - [[2211.06012](https://arxiv.org/abs/2211.06012)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.06012.md)].
- High-Quality Entity Segmentation - [[2211.05776](https://arxiv.org/abs/2211.05776)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.05776.md)].
- OneFormer: One Transformer to Rule Universal Image Segmentation - [[2211.06220](https://arxiv.org/abs/2211.06220)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.06220.md)].
- MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal   Open-domain Conversation - [[2211.05719](https://arxiv.org/abs/2211.05719)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.05719.md)].
- Secure Aggregation Is Not All You Need: Mitigating Privacy Attacks with   Noise Tolerance in Federated Learning - [[2211.06324](https://arxiv.org/abs/2211.06324)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.06324.md)].
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model - [[2211.05100](https://arxiv.org/abs/2211.05100)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.05100.md)].
- NoiSER: Noise is All You Need for Low-Light Image Enhancement - [[2211.04700](https://arxiv.org/abs/2211.04700)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.04700.md)].
- Cross-Attention is all you need: Real-Time Streaming Transformers for   Personalised Speech Enhancement - [[2211.04346](https://arxiv.org/abs/2211.04346)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.04346.md)].
- Self-conditioned Embedding Diffusion for Text Generation - [[2211.04236](https://arxiv.org/abs/2211.04236)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.04236.md)].
- $BT^2$: Backward-compatible Training with Basis Transformation - [[2211.03989](https://arxiv.org/abs/2211.03989)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.03989.md)].
- Rickrolling the Artist: Injecting Backdoors into Text Encoders for   Text-to-Image Synthesis - [[2211.02408](https://arxiv.org/abs/2211.02408)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.02408.md)].
- Large Language Models Are Human-Level Prompt Engineers - [[2211.01910](https://arxiv.org/abs/2211.01910)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.01910.md)].
- Crosslingual Generalization through Multitask Finetuning - [[2211.01786](https://arxiv.org/abs/2211.01786)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.01786.md)].
- PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales - [[2211.01562](https://arxiv.org/abs/2211.01562)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.01562.md)].
- Flashlights: An Off-Caustic Lensed Star at Redshift $z$ = 1.26 in Abell   370 - [[2211.1402](https://arxiv.org/abs/2211.1402)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.1402.md)].
- eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert   Denoisers - [[2211.01324](https://arxiv.org/abs/2211.01324)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.01324.md)].
- Late lumping of transformation-based feedback laws for boundary control   systems - [[2211.1238](https://arxiv.org/abs/2211.1238)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.1238.md)].
- Bipartite Mixed Membership Distribution-Free Model. A novel model for   community detection in overlapping bipartite weighted networks - [[2211.0912](https://arxiv.org/abs/2211.0912)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.0912.md)].
- The Perils of Learning From Unlabeled Data: Backdoor Attacks on   Semi-supervised Learning - [[2211.00453](https://arxiv.org/abs/2211.00453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.00453.md)].
- CARE: Causality Reasoning for Empathetic Responses by Conditional Graph   Generation - [[2211.00255](https://arxiv.org/abs/2211.00255)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.00255.md)].
- Evaluating Impact of Social Media Posts by Executives on Stock Prices - [[2211.1287](https://arxiv.org/abs/2211.1287)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2211.1287.md)].

### October 2022
- SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for   Text Generation and Modular Control - [[2210.17432](https://arxiv.org/abs/2210.17432)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.17432.md)].
- GPTQ: Accurate Post-Training Quantization for Generative Pre-trained   Transformers - [[2210.17323](https://arxiv.org/abs/2210.17323)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.17323.md)].
- DiffusER: Discrete Diffusion via Edit-based Reconstruction - [[2210.16886](https://arxiv.org/abs/2210.16886)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.16886.md)].
- Saliency Can Be All You Need In Contrastive Self-Supervised Learning - [[2210.16776](https://arxiv.org/abs/2210.16776)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.16776.md)].
- FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion - [[2210.15418](https://arxiv.org/abs/2210.15418)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.15418.md)].
- Contrastive Decoding: Open-ended Text Generation as Optimization - [[2210.15097](https://arxiv.org/abs/2210.15097)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.15097.md)].
- Streaming Radiance Fields for 3D Video Synthesis - [[2210.14831](https://arxiv.org/abs/2210.14831)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.14831.md)].
- Contrastive Search Is What You Need For Neural Text Generation - [[2210.14140](https://arxiv.org/abs/2210.14140)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.14140.md)].
- FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation - [[2210.13832](https://arxiv.org/abs/2210.13832)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.13832.md)].
- Dichotomy of Control: Separating What You Can Control from What You   Cannot - [[2210.13435](https://arxiv.org/abs/2210.13435)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.13435.md)].
- Emergent World Representations: Exploring a Sequence Model Trained on a   Synthetic Task - [[2210.13382](https://arxiv.org/abs/2210.13382)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.13382.md)].
- 10 hours data is all you need - [[2210.13067](https://arxiv.org/abs/2210.13067)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.13067.md)].
- DANLI: Deliberative Agent for Following Natural Language Instructions - [[2210.12485](https://arxiv.org/abs/2210.12485)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.12485.md)].
- Towards Efficient Dialogue Pre-training with Transferable and   Interpretable Latent Structure - [[2210.12461](https://arxiv.org/abs/2210.12461)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.12461.md)].
- Collaborative Reasoning on Multi-Modal Semantic Graphs for   Video-Grounded Dialogue Generation - [[2210.12460](https://arxiv.org/abs/2210.12460)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.12460.md)].
- There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with   Adversarial Activated Multi-Reference Learning - [[2210.12459](https://arxiv.org/abs/2210.12459)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.12459.md)].
- WikiWhy: Answering and Explaining Cause-and-Effect Questions - [[2210.12152](https://arxiv.org/abs/2210.12152)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.12152.md)].
- Large Language Models Can Self-Improve - [[2210.11610](https://arxiv.org/abs/2210.11610)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.11610.md)].
- Scaling Instruction-Finetuned Language Models - [[2210.11416](https://arxiv.org/abs/2210.11416)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.11416.md)].
- On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement   Learning - [[2210.10763](https://arxiv.org/abs/2210.10763)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.10763.md)].
- Scaling Laws for Reward Model Overoptimization - [[2210.10760](https://arxiv.org/abs/2210.10760)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.10760.md)].
- How to Boost Face Recognition with StyleGAN? - [[2210.10090](https://arxiv.org/abs/2210.10090)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.10090.md)].
- Bag All You Need: Learning a Generalizable Bagging Strategy for   Heterogeneous Objects - [[2210.09997](https://arxiv.org/abs/2210.09997)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.09997.md)].
- Perceptual Grouping in Contrastive Vision-Language Models - [[2210.09996](https://arxiv.org/abs/2210.09996)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.09996.md)].
- MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving   Camera Videos - [[2210.09887](https://arxiv.org/abs/2210.09887)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.09887.md)].
- DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for   Controllable Text Generation - [[2210.09551](https://arxiv.org/abs/2210.09551)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.09551.md)].
- Imagic: Text-Based Real Image Editing with Diffusion Models - [[2210.09276](https://arxiv.org/abs/2210.09276)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.09276.md)].
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them - [[2210.09261](https://arxiv.org/abs/2210.09261)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.09261.md)].
- DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models - [[2210.08933](https://arxiv.org/abs/2210.08933)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.08933.md)].
- Keep Me Updated! Memory Management in Long-term Conversations - [[2210.08750](https://arxiv.org/abs/2210.08750)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.08750.md)].
- Scratching Visual Transformer's Back with Uniform Attention - [[2210.08457](https://arxiv.org/abs/2210.08457)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.08457.md)].
- Data-Efficient Augmentation for Training Neural Networks - [[2210.08363](https://arxiv.org/abs/2210.08363)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.08363.md)].
- Is synthetic data from generative models ready for image recognition? - [[2210.07574](https://arxiv.org/abs/2210.07574)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.07574.md)].
- DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic   Search-Free Low-Rank Adaptation - [[2210.07558](https://arxiv.org/abs/2210.07558)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.07558.md)].
- Visual Reinforcement Learning with Self-Supervised 3D Representations - [[2210.07241](https://arxiv.org/abs/2210.07241)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.07241.md)].
- Unified Vision and Language Prompt Learning - [[2210.07225](https://arxiv.org/abs/2210.07225)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.07225.md)].
- Visual Classification via Description from Large Language Models - [[2210.07183](https://arxiv.org/abs/2210.07183)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.07183.md)].
- Language Models of Code are Few-Shot Commonsense Learners - [[2210.07128](https://arxiv.org/abs/2210.07128)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.07128.md)].
- Retrospectives on the Embodied AI Workshop - [[2210.06849](https://arxiv.org/abs/2210.06849)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.06849.md)].
- H2RBox: Horizontal Box Annotation is All You Need for Oriented Object   Detection - [[2210.06742](https://arxiv.org/abs/2210.06742)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.06742.md)].
- Explanations from Large Language Models Make Small Reasoners Better - [[2210.06726](https://arxiv.org/abs/2210.06726)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.06726.md)].
- Large Language Models are few(1)-shot Table Reasoners - [[2210.06710](https://arxiv.org/abs/2210.06710)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.06710.md)].
- RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses - [[2210.10634](https://arxiv.org/abs/2210.10634)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.10634.md)].
- Token-Label Alignment for Vision Transformers - [[2210.06455](https://arxiv.org/abs/2210.06455)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.06455.md)].
- Visual Prompting for Adversarial Robustness - [[2210.06284](https://arxiv.org/abs/2210.06284)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.06284.md)].
- Masked Motion Encoding for Self-Supervised Video Representation Learning - [[2210.06096](https://arxiv.org/abs/2210.06096)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.06096.md)].
- BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline - [[2210.06006](https://arxiv.org/abs/2210.06006)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.06006.md)].
- OPERA: Omni-Supervised Representation Learning with Hierarchical   Supervisions - [[2210.05557](https://arxiv.org/abs/2210.05557)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.05557.md)].
- Mind's Eye: Grounded Language Model Reasoning through Simulation - [[2210.05359](https://arxiv.org/abs/2210.05359)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.05359.md)].
- Multi-Object Navigation with dynamically learned neural implicit   representations - [[2210.05129](https://arxiv.org/abs/2210.05129)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.05129.md)].
- Certified Training: Small Boxes are All You Need - [[2210.04871](https://arxiv.org/abs/2210.04871)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.04871.md)].
- Improving Multi-turn Emotional Support Dialogue Generation with   Lookahead Strategy Planning - [[2210.04242](https://arxiv.org/abs/2210.04242)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.04242.md)].
- Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior - [[2210.05361](https://arxiv.org/abs/2210.05361)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.05361.md)].
- Controllable Dialogue Simulation with In-Context Learning - [[2210.04185](https://arxiv.org/abs/2210.04185)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.04185.md)].
- Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP - [[2210.04150](https://arxiv.org/abs/2210.04150)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.04150.md)].
- Don't Lose Yourself! Empathetic Response Generation via Explicit   Self-Other Awareness - [[2210.03884](https://arxiv.org/abs/2210.03884)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03884.md)].
- Is margin all you need? An extensive empirical study of active learning   on tabular data - [[2210.03822](https://arxiv.org/abs/2210.03822)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03822.md)].
- Large Language Models can Implement Policy Iteration - [[2210.03821](https://arxiv.org/abs/2210.03821)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03821.md)].
- GraspCaps: Capsule Networks Are All You Need for Grasping Familiar   Objects - [[2210.03628](https://arxiv.org/abs/2210.03628)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03628.md)].
- Automatic Chain of Thought Prompting in Large Language Models - [[2210.03493](https://arxiv.org/abs/2210.03493)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03493.md)].
- Measuring and Narrowing the Compositionality Gap in Language Models - [[2210.03350](https://arxiv.org/abs/2210.03350)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03350.md)].
- A ResNet is All You Need? Modeling A Strong Baseline for Detecting   Referable Diabetic Retinopathy in Fundus Images - [[2210.03180](https://arxiv.org/abs/2210.03180)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03180.md)].
- FAST: Improving Controllability for Text Generation with Feedback Aware   Self-Training - [[2210.03167](https://arxiv.org/abs/2210.03167)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03167.md)].
- MaPLe: Multi-modal Prompt Learning - [[2210.03117](https://arxiv.org/abs/2210.03117)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03117.md)].
- CLIP model is an Efficient Continual Learner - [[2210.03114](https://arxiv.org/abs/2210.03114)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03114.md)].
- VIMA: General Robot Manipulation with Multimodal Prompts - [[2210.03094](https://arxiv.org/abs/2210.03094)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03094.md)].
- Rainier: Reinforced Knowledge Introspector for Commonsense Question   Answering - [[2210.03078](https://arxiv.org/abs/2210.03078)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03078.md)].
- Language Models are Multilingual Chain-of-Thought Reasoners - [[2210.03057](https://arxiv.org/abs/2210.03057)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03057.md)].
- ByteTransformer: A High-Performance Transformer Boosted for   Variable-Length Inputs - [[2210.03052](https://arxiv.org/abs/2210.03052)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03052.md)].
- A Distributional Lens for Multi-Aspect Controllable Text Generation - [[2210.02889](https://arxiv.org/abs/2210.02889)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.02889.md)].
- ReAct: Synergizing Reasoning and Acting in Language Models - [[2210.03629](https://arxiv.org/abs/2210.03629)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03629.md)].
- Depth Is All You Need for Monocular 3D Detection - [[2210.02493](https://arxiv.org/abs/2210.02493)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.02493.md)].
- GLM-130B: An Open Bilingual Pre-trained Model - [[2210.02414](https://arxiv.org/abs/2210.02414)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.02414.md)].
- Decomposed Prompting: A Modular Approach for Solving Complex Tasks - [[2210.02406](https://arxiv.org/abs/2210.02406)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.02406.md)].
- Imagen Video: High Definition Video Generation with Diffusion Models - [[2210.02303](https://arxiv.org/abs/2210.02303)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.02303.md)].
- CorefDiffs: Co-referential and Differential Knowledge Flow in Document   Grounded Conversations - [[2210.02223](https://arxiv.org/abs/2210.02223)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.02223.md)].
- Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose   Transfer by Permuting Textures - [[2210.01887](https://arxiv.org/abs/2210.01887)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01887.md)].
- Group Personalized Federated Learning - [[2210.01863](https://arxiv.org/abs/2210.01863)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01863.md)].
- Centerpoints Are All You Need in Overhead Imagery - [[2210.01857](https://arxiv.org/abs/2210.01857)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01857.md)].
- COPILOT: Human-Environment Collision Prediction and Localization from   Egocentric Videos - [[2210.01781](https://arxiv.org/abs/2210.01781)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01781.md)].
- Knowledge Unlearning for Mitigating Privacy Risks in Language Models - [[2210.01504](https://arxiv.org/abs/2210.01504)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01504.md)].
- Extraneousness-Aware Imitation Learning - [[2210.01379](https://arxiv.org/abs/2210.01379)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01379.md)].
- Recitation-Augmented Language Models - [[2210.01296](https://arxiv.org/abs/2210.01296)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01296.md)].
- Event-based Temporally Dense Optical Flow Estimation with Sequential   Neural Networks - [[2210.01244](https://arxiv.org/abs/2210.01244)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01244.md)].
- Is Reinforcement Learning (Not) for Natural Language Processing:   Benchmarks, Baselines, and Building Blocks for Natural Language Policy   Optimization - [[2210.01241](https://arxiv.org/abs/2210.01241)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01241.md)].
- Language Models Are Greedy Reasoners: A Systematic Formal Analysis of   Chain-of-Thought - [[2210.01240](https://arxiv.org/abs/2210.01240)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01240.md)].
- Masked Spiking Transformer - [[2210.01208](https://arxiv.org/abs/2210.01208)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.01208.md)].
- Membership Inference Attacks Against Text-to-image Generation Models - [[2210.00968](https://arxiv.org/abs/2210.00968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.00968.md)].
- Improving Sample Quality of Diffusion Models Using Self-Attention   Guidance - [[2210.00939](https://arxiv.org/abs/2210.00939)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.00939.md)].
- Mastering Spatial Graph Prediction of Road Networks - [[2210.00828](https://arxiv.org/abs/2210.00828)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.00828.md)].
- Complexity-Based Prompting for Multi-Step Reasoning - [[2210.00720](https://arxiv.org/abs/2210.00720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.00720.md)].
- IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable   Novel View Synthesis - [[2210.00647](https://arxiv.org/abs/2210.00647)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.00647.md)].
- "Help Me Help the AI": Understanding How Explainability Can Support   Human-AI Interaction - [[2210.03735](https://arxiv.org/abs/2210.03735)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.03735.md)].
- NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review - [[2210.00379](https://arxiv.org/abs/2210.00379)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.00379.md)].
- Multimodal Analogical Reasoning over Knowledge Graphs - [[2210.00312](https://arxiv.org/abs/2210.00312)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.00312.md)].

### September 2022
- Combining Efficient and Precise Sign Language Recognition: Good pose   estimation library is all you need - [[2210.00893](https://arxiv.org/abs/2210.00893)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2210.00893.md)].
- Hiding Visual Information via Obfuscating Adversarial Perturbations - [[2209.15304](https://arxiv.org/abs/2209.15304)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.15304.md)].
- Learning Transferable Spatiotemporal Representations from Natural Script   Knowledge - [[2209.15280](https://arxiv.org/abs/2209.15280)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.15280.md)].
- Compositional Semantic Parsing with Large Language Models - [[2209.15003](https://arxiv.org/abs/2209.15003)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.15003.md)].
- DreamFusion: Text-to-3D using 2D Diffusion - [[2209.14988](https://arxiv.org/abs/2209.14988)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.14988.md)].
- EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual   Grounding - [[2209.14941](https://arxiv.org/abs/2209.14941)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.14941.md)].
- Make-A-Video: Text-to-Video Generation without Text-Video Data - [[2209.14792](https://arxiv.org/abs/2209.14792)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.14792.md)].
- Dependent Bayesian Lenses: Categories of Bidirectional Markov Kernels   with Canonical Bayesian Inversion - [[2209.14728](https://arxiv.org/abs/2209.14728)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.14728.md)].
- Dynamic Prompt Learning via Policy Gradient for Semi-structured   Mathematical Reasoning - [[2209.14610](https://arxiv.org/abs/2209.14610)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.14610.md)].
- Improving alignment of dialogue agents via targeted human judgements - [[2209.14375](https://arxiv.org/abs/2209.14375)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.14375.md)].
- Learning State-Aware Visual Representations from Audible Interactions - [[2209.13583](https://arxiv.org/abs/2209.13583)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.13583.md)].
- Sentiment is all you need to win US Presidential elections - [[2209.13487](https://arxiv.org/abs/2209.13487)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.13487.md)].
- Can Large Language Models Truly Understand Prompts? A Case Study with   Negated Prompts - [[2209.12711](https://arxiv.org/abs/2209.12711)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.12711.md)].
- Paraphrasing Is All You Need for Novel Object Captioning - [[2209.12343](https://arxiv.org/abs/2209.12343)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.12343.md)].
- Promptagator: Few-shot Dense Retrieval From 8 Examples - [[2209.11755](https://arxiv.org/abs/2209.11755)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.11755.md)].
- ProgPrompt: Generating Situated Robot Task Plans using Large Language   Models - [[2209.11302](https://arxiv.org/abs/2209.11302)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.11302.md)].
- Pretraining the Vision Transformer using self-supervised methods for   vision based Deep Reinforcement Learning - [[2209.10901](https://arxiv.org/abs/2209.10901)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.10901.md)].
- Generate rather than Retrieve: Large Language Models are Strong Context   Generators - [[2209.10063](https://arxiv.org/abs/2209.10063)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.10063.md)].
- Target-Guided Open-Domain Conversation Planning - [[2209.09746](https://arxiv.org/abs/2209.09746)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.09746.md)].
- Learn to Explain: Multimodal Reasoning via Thought Chains for Science   Question Answering - [[2209.09513](https://arxiv.org/abs/2209.09513)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.09513.md)].
- Space-time tradeoffs of lenses and optics via higher category theory - [[2209.09351](https://arxiv.org/abs/2209.09351)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.09351.md)].
- Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields - [[2209.09050](https://arxiv.org/abs/2209.09050)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.09050.md)].
- A Benchmark for Understanding and Generating Dialogue between Characters   in Stories - [[2209.08524](https://arxiv.org/abs/2209.08524)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.08524.md)].
- Psychologically-informed chain-of-thought prompts for metaphor   understanding in large language models - [[2209.08141](https://arxiv.org/abs/2209.08141)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.08141.md)].
- Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language   Models - [[2209.07511](https://arxiv.org/abs/2209.07511)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.07511.md)].
- A Geometric Perspective on Variational Autoencoders - [[2209.07370](https://arxiv.org/abs/2209.07370)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.07370.md)].
- PaLI: A Jointly-Scaled Multilingual Language-Image Model - [[2209.06794](https://arxiv.org/abs/2209.06794)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.06794.md)].
- Certified Robustness to Word Substitution Ranking Attack for Neural   Ranking Models - [[2209.06691](https://arxiv.org/abs/2209.06691)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.06691.md)].
- Order-Disorder: Imitation Adversarial Attacks for Black-box Neural   Ranking Models - [[2209.06506](https://arxiv.org/abs/2209.06506)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.06506.md)].
- Hard Negatives or False Negatives: Correcting Pooling Bias in Training   Neural Ranking Models - [[2209.05072](https://arxiv.org/abs/2209.05072)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.05072.md)].
- What does a platypus look like? Generating customized prompts for   zero-shot image classification - [[2209.03320](https://arxiv.org/abs/2209.03320)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.03320.md)].
- EnergonAI: An Inference System for 10-100 Billion Parameter Transformer   Models - [[2209.02341](https://arxiv.org/abs/2209.02341)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.02341.md)].
- Selective Annotation Makes Language Models Better Few-Shot Learners - [[2209.01975](https://arxiv.org/abs/2209.01975)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.01975.md)].
- An Empirical Study of End-to-End Video-Language Transformers with Masked   Visual Modeling - [[2209.01540](https://arxiv.org/abs/2209.01540)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.01540.md)].
- Visual Prompting via Image Inpainting - [[2209.00647](https://arxiv.org/abs/2209.00647)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.00647.md)].
- FLAME: Free-form Language-based Motion Synthesis &amp; Editing - [[2209.00349](https://arxiv.org/abs/2209.00349)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.00349.md)].

### August 2022
- Rethinking Conversational Recommendations: Is Decision Tree All You   Need? - [[2208.14614](https://arxiv.org/abs/2208.14614)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.14614.md)].
- Radon concentration variations at the Yangyang underground laboratory - [[2209.0737](https://arxiv.org/abs/2209.0737)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.0737.md)].
- Faithful Reasoning Using Large Language Models - [[2208.14271](https://arxiv.org/abs/2208.14271)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.14271.md)].
- Multi-Outputs Is All You Need For Deblur - [[2208.13029](https://arxiv.org/abs/2208.13029)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.13029.md)].
- Masked Autoencoders Enable Efficient Knowledge Distillers - [[2208.12256](https://arxiv.org/abs/2208.12256)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.12256.md)].
- DreamBooth: Fine Tuning Text-to-Image Diffusion Models for   Subject-Driven Generation - [[2208.12242](https://arxiv.org/abs/2208.12242)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.12242.md)].
- Understanding Diffusion Models: A Unified Perspective - [[2208.11970](https://arxiv.org/abs/2208.11970)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.11970.md)].
- Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,   and Lessons Learned - [[2209.07858](https://arxiv.org/abs/2209.07858)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2209.07858.md)].
- Improving Personality Consistency in Conversation by Persona Extending - [[2208.10816](https://arxiv.org/abs/2208.10816)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.10816.md)].
- Extending nnU-Net is all you need - [[2208.10791](https://arxiv.org/abs/2208.10791)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.10791.md)].
- Hierarchically Decomposed Graph Convolutional Networks for   Skeleton-Based Action Recognition - [[2208.10741](https://arxiv.org/abs/2208.10741)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.10741.md)].
- Are disentangled representations all you need to build speaker   anonymization systems? - [[2208.10497](https://arxiv.org/abs/2208.10497)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.10497.md)].
- Scattered or Connected? An Optimized Parameter-efficient Tuning Approach   for Information Retrieval - [[2208.09847](https://arxiv.org/abs/2208.09847)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.09847.md)].
- A Contrastive Pre-training Approach to Learn Discriminative Autoencoder   for Dense Retrieval - [[2208.09846](https://arxiv.org/abs/2208.09846)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.09846.md)].
- Label-Noise Learning with Intrinsically Long-Tailed Data - [[2208.09833](https://arxiv.org/abs/2208.09833)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.09833.md)].
- DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two   Quantization - [[2208.09708](https://arxiv.org/abs/2208.09708)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.09708.md)].
- SAFARI: Versatile and Efficient Evaluations for Robustness of   Interpretability - [[2208.09418](https://arxiv.org/abs/2208.09418)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.09418.md)].
- Pseudo-Labels Are All You Need - [[2208.09243](https://arxiv.org/abs/2208.09243)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.09243.md)].
- CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic   Response Generation - [[2208.08845](https://arxiv.org/abs/2208.08845)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.08845.md)].
- Towards Open-vocabulary Scene Graph Generation with Prompt-based   Finetuning - [[2208.08165](https://arxiv.org/abs/2208.08165)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.08165.md)].
- CorpusBrain: Pre-train a Generative Retrieval Model for   Knowledge-Intensive Language Tasks - [[2208.07652](https://arxiv.org/abs/2208.07652)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.07652.md)].
- Long-Short History of Gradients is All You Need: Detecting Malicious and   Unreliable Clients in Federated Learning - [[2208.10273](https://arxiv.org/abs/2208.10273)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.10273.md)].
- Dropout is NOT All You Need to Prevent Gradient Leakage - [[2208.06163](https://arxiv.org/abs/2208.06163)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.06163.md)].
- PSUMNet: Unified Modality Part Streams are All You Need for Efficient   Pose-based Action Recognition - [[2208.05775](https://arxiv.org/abs/2208.05775)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.05775.md)].
- Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax - [[2208.05719](https://arxiv.org/abs/2208.05719)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.05719.md)].
- Generative Action Description Prompts for Skeleton-based Action   Recognition - [[2208.05318](https://arxiv.org/abs/2208.05318)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.05318.md)].
- Follow Me: Conversation Planning for Target-driven Recommendation   Dialogue Systems - [[2208.03516](https://arxiv.org/abs/2208.03516)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.03516.md)].
- Atlas: Few-shot Learning with Retrieval Augmented Language Models - [[2208.03299](https://arxiv.org/abs/2208.03299)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.03299.md)].
- BlenderBot 3: a deployed conversational agent that continually learns to   responsibly engage - [[2208.03188](https://arxiv.org/abs/2208.03188)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.03188.md)].
- Prompt Tuning for Generative Multimodal Pretrained Models - [[2208.02532](https://arxiv.org/abs/2208.02532)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.02532.md)].
- Character Generation through Self-Supervised Vectorization - [[2208.02012](https://arxiv.org/abs/2208.02012)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.02012.md)].
- Prompt-to-Prompt Image Editing with Cross Attention Control - [[2208.01626](https://arxiv.org/abs/2208.01626)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.01626.md)].
- An Image is Worth One Word: Personalizing Text-to-Image Generation using   Textual Inversion - [[2208.01618](https://arxiv.org/abs/2208.01618)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.01618.md)].
- Reduction Rules and ILP Are All You Need: Minimal Directed Feedback   Vertex Set - [[2208.01119](https://arxiv.org/abs/2208.01119)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.01119.md)].
- Neural network layers as parametric spans - [[2208.00809](https://arxiv.org/abs/2208.00809)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.00809.md)].
- Composable Text Controls in Latent Space with ODEs - [[2208.00638](https://arxiv.org/abs/2208.00638)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.00638.md)].
- Search for or Navigate to? Dual Adaptive Thinking for Object Navigation - [[2208.00553](https://arxiv.org/abs/2208.00553)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.00553.md)].

### July 2022
- MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient   Neural Field Rendering on Mobile Architectures - [[2208.00277](https://arxiv.org/abs/2208.00277)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.00277.md)].
- Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment - [[2207.13085](https://arxiv.org/abs/2207.13085)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.13085.md)].
- DETRs with Hybrid Matching - [[2207.13080](https://arxiv.org/abs/2207.13080)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.13080.md)].
- Visual correspondence-based explanations improve AI robustness and   human-AI team accuracy - [[2208.00780](https://arxiv.org/abs/2208.00780)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.00780.md)].
- Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning - [[2208.02294](https://arxiv.org/abs/2208.02294)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2208.02294.md)].
- Is GPT-3 all you need for Visual Question Answering in Cultural   Heritage? - [[2207.12101](https://arxiv.org/abs/2207.12101)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.12101.md)].
- Neural Generation Meets Real People: Building a Social, Informative   Open-Domain Dialogue Agent - [[2207.12021](https://arxiv.org/abs/2207.12021)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.12021.md)].
- All you need for horizontal slicing in 5G network - [[2207.11477](https://arxiv.org/abs/2207.11477)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.11477.md)].
- Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise   Binarization - [[2207.11209](https://arxiv.org/abs/2207.11209)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.11209.md)].
- Adaptive Soft Contrastive Learning - [[2207.11163](https://arxiv.org/abs/2207.11163)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.11163.md)].
- Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild - [[2207.10660](https://arxiv.org/abs/2207.10660)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.10660.md)].
- Language Model Cascades - [[2207.10342](https://arxiv.org/abs/2207.10342)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.10342.md)].
- Tailoring Self-Supervision for Supervised Learning - [[2207.10023](https://arxiv.org/abs/2207.10023)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.10023.md)].
- Overlooked factors in concept-based explanations: Dataset choice,   concept learnability, and human capability - [[2207.09615](https://arxiv.org/abs/2207.09615)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.09615.md)].
- FedX: Unsupervised Federated Learning with Cross Knowledge Distillation - [[2207.09158](https://arxiv.org/abs/2207.09158)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.09158.md)].
- UniFusion: Unified Multi-view Fusion Transformer for Spatial-Temporal   Representation in Bird's-Eye-View - [[2207.08536](https://arxiv.org/abs/2207.08536)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.08536.md)].
- Open-world Semantic Segmentation via Contrasting and Clustering   Vision-Language Embedding - [[2207.08455](https://arxiv.org/abs/2207.08455)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.08455.md)].
- Language models show human-like content effects on reasoning - [[2207.07051](https://arxiv.org/abs/2207.07051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.07051.md)].
- PointNorm: Dual Normalization is All You Need for Point Cloud Analysis - [[2207.06324](https://arxiv.org/abs/2207.06324)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.06324.md)].
- Look-ups are not (yet) all you need for deep learning inference - [[2207.05808](https://arxiv.org/abs/2207.05808)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.05808.md)].
- A Data-Based Perspective on Transfer Learning - [[2207.05739](https://arxiv.org/abs/2207.05739)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.05739.md)].
- Inner Monologue: Embodied Reasoning through Planning with Language   Models - [[2207.05608](https://arxiv.org/abs/2207.05608)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.05608.md)].
- Bootstrapping a User-Centered Task-Oriented Dialogue System - [[2207.05223](https://arxiv.org/abs/2207.05223)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.05223.md)].
- LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language,   Vision, and Action - [[2207.04429](https://arxiv.org/abs/2207.04429)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.04429.md)].
- Back to the Source: Diffusion-Driven Test-Time Adaptation - [[2207.03442](https://arxiv.org/abs/2207.03442)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.03442.md)].
- YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for   real-time object detectors - [[2207.02696](https://arxiv.org/abs/2207.02696)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.02696.md)].
- Is a PET all you need? A multi-modal study for Alzheimer's disease using   3D CNNs - [[2207.02094](https://arxiv.org/abs/2207.02094)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.02094.md)].
- Beyond mAP: Towards better evaluation of instance segmentation - [[2207.01614](https://arxiv.org/abs/2207.01614)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.01614.md)].
- PVO: Panoptic Visual Odometry - [[2207.01610](https://arxiv.org/abs/2207.01610)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.01610.md)].
- I-ViT: Integer-only Quantization for Efficient Vision Transformer   Inference - [[2207.01405](https://arxiv.org/abs/2207.01405)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.01405.md)].
- WebShop: Towards Scalable Real-World Web Interaction with Grounded   Language Agents - [[2207.01206](https://arxiv.org/abs/2207.01206)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.01206.md)].
- Towards Robust Referring Video Object Segmentation with Cyclic   Relational Consensus - [[2207.01203](https://arxiv.org/abs/2207.01203)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.01203.md)].
- Computer-assisted Pronunciation Training -- Speech synthesis is almost   all you need - [[2207.00774](https://arxiv.org/abs/2207.00774)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.00774.md)].
- Rationale-Augmented Ensembles in Language Models - [[2207.00747](https://arxiv.org/abs/2207.00747)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2207.00747.md)].

### June 2022
- Solving Quantitative Reasoning Problems with Language Models - [[2206.14858](https://arxiv.org/abs/2206.14858)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.14858.md)].
- CV 3315 Is All You Need : Semantic Segmentation Competition - [[2206.12571](https://arxiv.org/abs/2206.12571)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.12571.md)].
- Diegetic Representation of Feedback in Open Games - [[2206.12338](https://arxiv.org/abs/2206.12338)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.12338.md)].
- zPROBE: Zero Peek Robustness Checks for Federated Learning - [[2206.12100](https://arxiv.org/abs/2206.12100)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.12100.md)].
- Rethinking Surgical Instrument Segmentation: A Background Image Can Be   All You Need - [[2206.11804](https://arxiv.org/abs/2206.11804)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.11804.md)].
- Invariant Causal Mechanisms through Distribution Matching - [[2206.11646](https://arxiv.org/abs/2206.11646)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.11646.md)].
- GODEL: Large-Scale Pre-Training for Goal-Directed Dialog - [[2206.11309](https://arxiv.org/abs/2206.11309)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.11309.md)].
- KiloNeuS: A Versatile Neural Implicit Surface Representation for   Real-Time Rendering - [[2206.10885](https://arxiv.org/abs/2206.10885)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.10885.md)].
- Questions Are All You Need to Train a Dense Passage Retriever - [[2206.10658](https://arxiv.org/abs/2206.10658)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.10658.md)].
- Marginal Tail-Adaptive Normalizing Flows - [[2206.10311](https://arxiv.org/abs/2206.10311)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.10311.md)].
- DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited   Annotations - [[2206.09541](https://arxiv.org/abs/2206.09541)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.09541.md)].
- All you need is feedback: Communication with block attention feedback   codes - [[2206.09457](https://arxiv.org/abs/2206.09457)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.09457.md)].
- Gender Artifacts in Visual Datasets - [[2206.09191](https://arxiv.org/abs/2206.09191)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.09191.md)].
- Landscape Learning for Neural Network Inversion - [[2206.09027](https://arxiv.org/abs/2206.09027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.09027.md)].
- MineDojo: Building Open-Ended Embodied Agents with Internet-Scale   Knowledge - [[2206.08853](https://arxiv.org/abs/2206.08853)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.08853.md)].
- Sheaf Neural Networks with Connection Laplacians - [[2206.08702](https://arxiv.org/abs/2206.08702)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.08702.md)].
- PRANC: Pseudo RAndom Networks for Compacting deep models - [[2206.08464](https://arxiv.org/abs/2206.08464)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.08464.md)].
- Zero-Shot Video Question Answering via Frozen Bidirectional Language   Models - [[2206.08155](https://arxiv.org/abs/2206.08155)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.08155.md)].
- Balancing Discriminability and Transferability for Source-Free Domain   Adaptation - [[2206.08009](https://arxiv.org/abs/2206.08009)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.08009.md)].
- Emergent Abilities of Large Language Models - [[2206.07682](https://arxiv.org/abs/2206.07682)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.07682.md)].
- A smile is all you need: Predicting limiting activity coefficients from   SMILES with natural language processing - [[2206.07048](https://arxiv.org/abs/2206.07048)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.07048.md)].
- GRAM-HD: 3D-Consistent Image Generation at High Resolution with   Generative Radiance Manifolds - [[2206.07255](https://arxiv.org/abs/2206.07255)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.07255.md)].
- LAVENDER: Unifying Video-Language Understanding as Masked Language   Modeling - [[2206.07160](https://arxiv.org/abs/2206.07160)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.07160.md)].
- Confidence Score for Source-Free Unsupervised Domain Adaptation - [[2206.06640](https://arxiv.org/abs/2206.06640)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.06640.md)].
- Transformers are Meta-Reinforcement Learners - [[2206.06614](https://arxiv.org/abs/2206.06614)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.06614.md)].
- Language Models are General-Purpose Interfaces - [[2206.06336](https://arxiv.org/abs/2206.06336)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.06336.md)].
- Mining Multi-Label Samples from Single Positive Labels - [[2206.05764](https://arxiv.org/abs/2206.05764)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.05764.md)].
- Building a Personalized Dialogue System with Prompt-Tuning - [[2206.05399](https://arxiv.org/abs/2206.05399)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.05399.md)].
- Neural Prompt Search - [[2206.04673](https://arxiv.org/abs/2206.04673)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.04673.md)].
- Simple Cues Lead to a Strong Multi-Object Tracker - [[2206.04656](https://arxiv.org/abs/2206.04656)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.04656.md)].
- Beyond the Imitation Game: Quantifying and extrapolating the   capabilities of language models - [[2206.04615](https://arxiv.org/abs/2206.04615)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.04615.md)].
- Spatial-temporal Concept based Explanation of 3D ConvNets - [[2206.05275](https://arxiv.org/abs/2206.05275)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.05275.md)].
- Words are all you need? Language as an approximation for human   similarity judgments - [[2206.04105](https://arxiv.org/abs/2206.04105)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.04105.md)].
- MobileOne: An Improved One millisecond Mobile Backbone - [[2206.04040](https://arxiv.org/abs/2206.04040)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.04040.md)].
- Unsupervised Context Aware Sentence Representation Pretraining for   Multi-lingual Dense Retrieval - [[2206.03281](https://arxiv.org/abs/2206.03281)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.03281.md)].
- TriBYOL: Triplet BYOL for Self-Supervised Representation Learning - [[2206.03012](https://arxiv.org/abs/2206.03012)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.03012.md)].
- Self-Knowledge Distillation based Self-Supervised Learning for Covid-19   Detection from Chest X-Ray Images - [[2206.03009](https://arxiv.org/abs/2206.03009)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.03009.md)].
- Self-supervised Learning for Human Activity Recognition Using 700,000   Person-days of Wearable Data - [[2206.02909](https://arxiv.org/abs/2206.02909)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.02909.md)].
- A Neural Corpus Indexer for Document Retrieval - [[2206.02743](https://arxiv.org/abs/2206.02743)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.02743.md)].
- Revisiting Realistic Test-Time Training: Sequential Inference and   Adaptation by Anchored Clustering - [[2206.02721](https://arxiv.org/abs/2206.02721)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.02721.md)].
- Is More Data All You Need? A Causal Exploration - [[2206.02409](https://arxiv.org/abs/2206.02409)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.02409.md)].
- Learning to Break the Loop: Analyzing and Mitigating Repetitions for   Neural Text Generation - [[2206.02369](https://arxiv.org/abs/2206.02369)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.02369.md)].
- Making Large Language Models Better Reasoners with Step-Aware Verifier - [[2206.02336](https://arxiv.org/abs/2206.02336)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.02336.md)].
- Delving into the Openness of CLIP - [[2206.01986](https://arxiv.org/abs/2206.01986)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.01986.md)].
- Revisiting the "Video" in Video-Language Understanding - [[2206.01720](https://arxiv.org/abs/2206.01720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.01720.md)].
- PROMISSING: Pruning Missing Values in Neural Networks - [[2206.01640](https://arxiv.org/abs/2206.01640)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.01640.md)].
- A Survey on Computationally Efficient Neural Architecture Search - [[2206.01520](https://arxiv.org/abs/2206.01520)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.01520.md)].
- PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images - [[2206.01256](https://arxiv.org/abs/2206.01256)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.01256.md)].
- Multi-View Active Fine-Grained Recognition - [[2206.01153](https://arxiv.org/abs/2206.01153)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.01153.md)].
- Unified Recurrence Modeling for Video Action Anticipation - [[2206.01009](https://arxiv.org/abs/2206.01009)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.01009.md)].
- NIPQ: Noise proxy-based Integrated Pseudo-Quantization - [[2206.00820](https://arxiv.org/abs/2206.00820)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.00820.md)].
- Hopular: Modern Hopfield Networks for Tabular Data - [[2206.0664](https://arxiv.org/abs/2206.0664)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.0664.md)].
- One- and two-dimensional solitons in spin-orbit-coupled Bose-Einstein   condensates with fractional kinetic energy - [[2206.0404](https://arxiv.org/abs/2206.0404)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.0404.md)].
- ORC: Network Group-based Knowledge Distillation using Online Role Change - [[2206.01186](https://arxiv.org/abs/2206.01186)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.01186.md)].
- A Theoretical Framework for Inference Learning - [[2206.0164](https://arxiv.org/abs/2206.0164)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.0164.md)].

### May 2022
- New asymptotically flat static vacuum metrics with near Euclidean   boundary data - [[2206.0082](https://arxiv.org/abs/2206.0082)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2206.0082.md)].
- itKD: Interchange Transfer-based Knowledge Distillation for 3D Object   Detection - [[2205.15531](https://arxiv.org/abs/2205.15531)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.15531.md)].
- Non-Markovian Reward Modelling from Trajectory Labels via Interpretable   Multiple Instance Learning - [[2205.15367](https://arxiv.org/abs/2205.15367)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.15367.md)].
- Self-Supervised Visual Representation Learning with Semantic Grouping - [[2205.15288](https://arxiv.org/abs/2205.15288)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.15288.md)].
- GMML is All you Need - [[2205.14986](https://arxiv.org/abs/2205.14986)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.14986.md)].
- FRAug: Tackling Federated Learning with Non-IID Features via   Representation Augmentation - [[2205.14900](https://arxiv.org/abs/2205.14900)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.14900.md)].
- Robust Weight Perturbation for Adversarial Training - [[2205.14826](https://arxiv.org/abs/2205.14826)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.14826.md)].
- EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense   Prediction - [[2205.14756](https://arxiv.org/abs/2205.14756)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.14756.md)].
- CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset   for Conversational AI - [[2205.14727](https://arxiv.org/abs/2205.14727)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.14727.md)].
- CoNT: Contrastive Neural Text Generation - [[2205.14690](https://arxiv.org/abs/2205.14690)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.14690.md)].
- Semi-supervised Semantics-guided Adversarial Training for Trajectory   Prediction - [[2205.14230](https://arxiv.org/abs/2205.14230)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.14230.md)].
- Controllable Text Generation with Neurally-Decomposed Oracle - [[2205.14219](https://arxiv.org/abs/2205.14219)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.14219.md)].
- Diffusion-LM Improves Controllable Text Generation - [[2205.14217](https://arxiv.org/abs/2205.14217)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.14217.md)].
- GIT: A Generative Image-to-text Transformer for Vision and Language - [[2205.14100](https://arxiv.org/abs/2205.14100)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.14100.md)].
- Prototype Based Classification from Hierarchy to Fairness - [[2205.13997](https://arxiv.org/abs/2205.13997)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.13997.md)].
- Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object   Interactions - [[2205.13803](https://arxiv.org/abs/2205.13803)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.13803.md)].
- Quark: Controllable Text Generation with Reinforced Unlearning - [[2205.13636](https://arxiv.org/abs/2205.13636)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.13636.md)].
- Physical-World Optical Adversarial Attacks on 3D Face Recognition - [[2205.13412](https://arxiv.org/abs/2205.13412)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.13412.md)].
- Pretraining is All You Need for Image-to-Image Translation - [[2205.12952](https://arxiv.org/abs/2205.12952)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.12952.md)].
- RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText   Generators - [[2205.12590](https://arxiv.org/abs/2205.12590)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.12590.md)].
- TALM: Tool Augmented Language Models - [[2205.12255](https://arxiv.org/abs/2205.12255)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.12255.md)].
- Large Language Models are Zero-Shot Reasoners - [[2205.11916](https://arxiv.org/abs/2205.11916)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.11916.md)].
- Maieutic Prompting: Logically Consistent Reasoning with Recursive   Explanations - [[2205.11822](https://arxiv.org/abs/2205.11822)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.11822.md)].
- Decoder Denoising Pretraining for Semantic Segmentation - [[2205.11423](https://arxiv.org/abs/2205.11423)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.11423.md)].
- PointDistiller: Structured Knowledge Distillation Towards Efficient and   Compact 3D Detection - [[2205.11098](https://arxiv.org/abs/2205.11098)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.11098.md)].
- GraphMAE: Self-Supervised Masked Graph Autoencoders - [[2205.10803](https://arxiv.org/abs/2205.10803)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.10803.md)].
- All You Need Is Logs: Improving Code Completion by Learning from   Anonymous IDE Usage Logs - [[2205.10692](https://arxiv.org/abs/2205.10692)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.10692.md)].
- Least-to-Most Prompting Enables Complex Reasoning in Large Language   Models - [[2205.10625](https://arxiv.org/abs/2205.10625)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.10625.md)].
- A Review of Safe Reinforcement Learning: Methods, Theory and   Applications - [[2205.10330](https://arxiv.org/abs/2205.10330)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.10330.md)].
- Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR   Prediction - [[2205.10249](https://arxiv.org/abs/2205.10249)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.10249.md)].
- Can Foundation Models Wrangle Your Data? - [[2205.09911](https://arxiv.org/abs/2205.09911)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.09911.md)].
- RankGen: Improving Text Generation with Large Ranking Models - [[2205.09726](https://arxiv.org/abs/2205.09726)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.09726.md)].
- Selection-Inference: Exploiting Large Language Models for Interpretable   Logical Reasoning - [[2205.09712](https://arxiv.org/abs/2205.09712)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.09712.md)].
- Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual   Object Detection - [[2205.09613](https://arxiv.org/abs/2205.09613)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.09613.md)].
- Learning Graph Structure from Convolutional Mixtures - [[2205.09575](https://arxiv.org/abs/2205.09575)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.09575.md)].
- Target-Guided Dialogue Response Generation Using Commonsense and Data   Augmentation - [[2205.09314](https://arxiv.org/abs/2205.09314)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.09314.md)].
- Positional Information is All You Need: A Novel Pipeline for   Self-Supervised SVDE from Videos - [[2205.08851](https://arxiv.org/abs/2205.08851)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.08851.md)].
- Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift - [[2205.08645](https://arxiv.org/abs/2205.08645)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.08645.md)].
- A CLIP-Hitchhiker's Guide to Long Video Retrieval - [[2205.08508](https://arxiv.org/abs/2205.08508)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.08508.md)].
- Robust Losses for Learning Value Functions - [[2205.08464](https://arxiv.org/abs/2205.08464)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.08464.md)].
- LogicSolver: Towards Interpretable Math Word Problem Solving with   Logical Prompt-enhanced Learning - [[2205.08232](https://arxiv.org/abs/2205.08232)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.08232.md)].
- Diffusion Models for Adversarial Purification - [[2205.07460](https://arxiv.org/abs/2205.07460)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.07460.md)].
- Long-term Control for Dialogue Generation: Methods and Evaluation - [[2205.07352](https://arxiv.org/abs/2205.07352)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.07352.md)].
- Aligning Robot Representations with Humans - [[2205.07882](https://arxiv.org/abs/2205.07882)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.07882.md)].
- A Generalist Agent - [[2205.06175](https://arxiv.org/abs/2205.06175)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.06175.md)].
- Reduce Information Loss in Transformers for Pluralistic Image Inpainting - [[2205.05076](https://arxiv.org/abs/2205.05076)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.05076.md)].
- Learning to Answer Visual Questions from Web Videos - [[2205.05019](https://arxiv.org/abs/2205.05019)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.05019.md)].
- When does dough become a bagel? Analyzing the remaining mistakes on   ImageNet - [[2205.04596](https://arxiv.org/abs/2205.04596)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.04596.md)].
- A for-loop is all you need. For solving the inverse problem in the case   of personalized tumor growth modeling - [[2205.04550](https://arxiv.org/abs/2205.04550)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.04550.md)].
- ConvMAE: Masked Convolution Meets Masked Autoencoders - [[2205.03892](https://arxiv.org/abs/2205.03892)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.03892.md)].
- Towards a Progression-Aware Autonomous Dialogue Agent - [[2205.03692](https://arxiv.org/abs/2205.03692)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.03692.md)].
- The Unreliability of Explanations in Few-shot Prompting for Textual   Reasoning - [[2205.03401](https://arxiv.org/abs/2205.03401)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.03401.md)].
- Spiking Graph Convolutional Networks - [[2205.02767](https://arxiv.org/abs/2205.02767)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.02767.md)].
- A Simple Contrastive Learning Objective for Alleviating Neural Text   Degeneration - [[2205.02517](https://arxiv.org/abs/2205.02517)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.02517.md)].
- Lexical Knowledge Internalization for Neural Dialog Generation - [[2205.01941](https://arxiv.org/abs/2205.01941)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.01941.md)].
- End2End Multi-View Feature Matching with Differentiable Pose   Optimization - [[2205.01694](https://arxiv.org/abs/2205.01694)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.01694.md)].
- Learning to Transfer Prompts for Text Generation - [[2205.01543](https://arxiv.org/abs/2205.01543)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.01543.md)].
- OPT: Open Pre-trained Transformer Language Models - [[2205.01068](https://arxiv.org/abs/2205.01068)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.01068.md)].

### April 2022
- Building a Role Specified Open-Domain Dialogue System Leveraging   Large-Scale Language Models - [[2205.00176](https://arxiv.org/abs/2205.00176)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2205.00176.md)].
- Flamingo: a Visual Language Model for Few-Shot Learning - [[2204.14198](https://arxiv.org/abs/2204.14198)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.14198.md)].
- Control Globally, Understand Locally: A Global-to-Local Hierarchical   Graph Network for Emotional Support Conversation - [[2204.12749](https://arxiv.org/abs/2204.12749)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.12749.md)].
- MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation - [[2204.12667](https://arxiv.org/abs/2204.12667)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.12667.md)].
- PolyLoss: A Polynomial Expansion Perspective of Classification Loss   Functions - [[2204.12511](https://arxiv.org/abs/2204.12511)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.12511.md)].
- LoL: A Comparative Regularization Loss over Query Reformulation Losses   for Pseudo-Relevance Feedback - [[2204.11545](https://arxiv.org/abs/2204.11545)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.11545.md)].
- Evaluating Interpolation and Extrapolation Performance of Neural   Retrieval Models - [[2204.11447](https://arxiv.org/abs/2204.11447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.11447.md)].
- Simulating Fluids in Real-World Still Images - [[2204.11335](https://arxiv.org/abs/2204.11335)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.11335.md)].
- Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional   Characters with only a Few Utterances - [[2204.10825](https://arxiv.org/abs/2204.10825)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.10825.md)].
- Pre-train a Discriminative Text Encoder for Dense Retrieval via   Contrastive Span Prediction - [[2204.10641](https://arxiv.org/abs/2204.10641)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.10641.md)].
- Autoregressive Search Engines: Generating Substrings as Document   Identifiers - [[2204.10628](https://arxiv.org/abs/2204.10628)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.10628.md)].
- Sharper Utility Bounds for Differentially Private Models - [[2204.10536](https://arxiv.org/abs/2204.10536)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.10536.md)].
- Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation - [[2204.10509](https://arxiv.org/abs/2204.10509)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.10509.md)].
- Event Transition Planning for Open-ended Text Generation - [[2204.09453](https://arxiv.org/abs/2204.09453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.09453.md)].
- Visio-Linguistic Brain Encoding - [[2204.08261](https://arxiv.org/abs/2204.08261)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.08261.md)].
- Improving Passage Retrieval with Zero-Shot Question Generation - [[2204.07496](https://arxiv.org/abs/2204.07496)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.07496.md)].
- INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold - [[2204.07439](https://arxiv.org/abs/2204.07439)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.07439.md)].
- A Personalized Dialogue Generator with Implicit User Persona Detection - [[2204.07372](https://arxiv.org/abs/2204.07372)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.07372.md)].
- LaMemo: Language Modeling with Look-Ahead Memory - [[2204.07341](https://arxiv.org/abs/2204.07341)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.07341.md)].
- Measuring Compositional Consistency for Video Question Answering - [[2204.07190](https://arxiv.org/abs/2204.07190)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.07190.md)].
- Masked Siamese Networks for Label-Efficient Learning - [[2204.07141](https://arxiv.org/abs/2204.07141)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.07141.md)].
- GPT-NeoX-20B: An Open-Source Autoregressive Language Model - [[2204.06745](https://arxiv.org/abs/2204.06745)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.06745.md)].
- Transparent Shape from a Single View Polarization Image - [[2204.06331](https://arxiv.org/abs/2204.06331)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.06331.md)].
- Training a Helpful and Harmless Assistant with Reinforcement Learning   from Human Feedback - [[2204.05862](https://arxiv.org/abs/2204.05862)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.05862.md)].
- Bootstrap Motion Forecasting With Self-Consistent Constraints - [[2204.05859](https://arxiv.org/abs/2204.05859)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.05859.md)].
- Stylized Knowledge-Grounded Dialogue Generation via Disentangled   Template Rewriting - [[2204.05610](https://arxiv.org/abs/2204.05610)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.05610.md)].
- Overlapping Word Removal is All You Need: Revisiting Data Imbalance in   Hope Speech Detection - [[2204.05488](https://arxiv.org/abs/2204.05488)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.05488.md)].
- Exploring the Universal Vulnerability of Prompt-based Learning Paradigm - [[2204.05239](https://arxiv.org/abs/2204.05239)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.05239.md)].
- DualPrompt: Complementary Prompting for Rehearsal-free Continual   Learning - [[2204.04799](https://arxiv.org/abs/2204.04799)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.04799.md)].
- Learning Trajectory-Aware Transformer for Video Super-Resolution - [[2204.04216](https://arxiv.org/abs/2204.04216)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.04216.md)].
- Federated Learning with Partial Model Personalization - [[2204.03809](https://arxiv.org/abs/2204.03809)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.03809.md)].
- Unsupervised Prompt Learning for Vision-Language Models - [[2204.03649](https://arxiv.org/abs/2204.03649)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.03649.md)].
- Interacting with Non-Cooperative User: A New Paradigm for Proactive   Dialogue Policy - [[2204.07433](https://arxiv.org/abs/2204.07433)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.07433.md)].
- Winoground: Probing Vision and Language Models for Visio-Linguistic   Compositionality - [[2204.03162](https://arxiv.org/abs/2204.03162)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.03162.md)].
- Knowledge Infused Decoding - [[2204.03084](https://arxiv.org/abs/2204.03084)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.03084.md)].
- Unleashing Vanilla Vision Transformer with Masked Image Modeling for   Object Detection - [[2204.02964](https://arxiv.org/abs/2204.02964)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.02964.md)].
- Towards An End-to-End Framework for Flow-Guided Video Inpainting - [[2204.02663](https://arxiv.org/abs/2204.02663)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.02663.md)].
- There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing   Knowledge-grounded Dialogue with Personal Memory - [[2204.02624](https://arxiv.org/abs/2204.02624)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.02624.md)].
- Efficient Test-Time Model Adaptation without Forgetting - [[2204.02610](https://arxiv.org/abs/2204.02610)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.02610.md)].
- C3KG: A Chinese Commonsense Conversation Knowledge Graph - [[2204.02549](https://arxiv.org/abs/2204.02549)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.02549.md)].
- Can language models learn from explanations in context? - [[2204.02329](https://arxiv.org/abs/2204.02329)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.02329.md)].
- PaLM: Scaling Language Modeling with Pathways - [[2204.02311](https://arxiv.org/abs/2204.02311)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.02311.md)].
- At the Locus of Performance: A Case Study in Enhancing CPUs with Copious   3D-Stacked Cache - [[2204.02235](https://arxiv.org/abs/2204.02235)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.02235.md)].
- $\textit{latent}$-GLAT: Glancing at Latent Variables for Parallel Text   Generation - [[2204.02030](https://arxiv.org/abs/2204.02030)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.02030.md)].
- Learning Neural Acoustic Fields - [[2204.00628](https://arxiv.org/abs/2204.00628)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.00628.md)].
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances - [[2204.01691](https://arxiv.org/abs/2204.01691)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.01691.md)].
- Value Gradient weighted Model-Based Reinforcement Learning - [[2204.01464](https://arxiv.org/abs/2204.01464)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.01464.md)].
- PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking   Models - [[2204.01321](https://arxiv.org/abs/2204.01321)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.01321.md)].
- Probabilistic Implicit Scene Completion - [[2204.01264](https://arxiv.org/abs/2204.01264)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.01264.md)].
- Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach - [[2204.00718](https://arxiv.org/abs/2204.00718)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.00718.md)].
- Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language - [[2204.00598](https://arxiv.org/abs/2204.00598)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.00598.md)].
- Distill-VQ: Learning Retrieval Oriented Vector Quantization By   Distilling Knowledge from Dense Embeddings - [[2204.00185](https://arxiv.org/abs/2204.00185)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.00185.md)].

### March 2022
- TransGeo: Transformer Is All You Need for Cross-view Image   Geo-localization - [[2204.00097](https://arxiv.org/abs/2204.00097)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2204.00097.md)].
- Exploring Visual Prompts for Adapting Large-Scale Models - [[2203.17274](https://arxiv.org/abs/2203.17274)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.17274.md)].
- A 23 MW data centre is all you need - [[2203.17265](https://arxiv.org/abs/2203.17265)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.17265.md)].
- R2L: Distilling Neural Radiance Field to Neural Light Field for   Efficient Novel View Synthesis - [[2203.17261](https://arxiv.org/abs/2203.17261)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.17261.md)].
- Templates for 3D Object Pose Estimation Revisited: Generalization to New   Objects and Robustness to Occlusions - [[2203.17234](https://arxiv.org/abs/2203.17234)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.17234.md)].
- PromptDet: Towards Open-vocabulary Detection using Uncurated Images - [[2203.16513](https://arxiv.org/abs/2203.16513)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.16513.md)].
- Causal de Finetti: On the Identification of Invariant Causal Structure   in Exchangeable Data - [[2203.15756](https://arxiv.org/abs/2203.15756)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.15756.md)].
- Training Compute-Optimal Large Language Models - [[2203.15556](https://arxiv.org/abs/2203.15556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.15556.md)].
- Graph Neural Networks are Dynamic Programmers - [[2203.15544](https://arxiv.org/abs/2203.15544)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.15544.md)].
- MAT: Mask-Aware Transformer for Large Hole Image Inpainting - [[2203.15270](https://arxiv.org/abs/2203.15270)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.15270.md)].
- Parameter-efficient Model Adaptation for Vision Transformers - [[2203.16329](https://arxiv.org/abs/2203.16329)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.16329.md)].
- Generalizing Few-Shot NAS with Gradient Matching - [[2203.15207](https://arxiv.org/abs/2203.15207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.15207.md)].
- Neural Vocoder is All You Need for Speech Super-resolution - [[2203.14941](https://arxiv.org/abs/2203.14941)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.14941.md)].
- Learning to Prompt for Open-Vocabulary Object Detection with   Vision-Language Model - [[2203.14940](https://arxiv.org/abs/2203.14940)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.14940.md)].
- STaR: Bootstrapping Reasoning With Reasoning - [[2203.14465](https://arxiv.org/abs/2203.14465)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.14465.md)].
- How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning? - [[2203.14221](https://arxiv.org/abs/2203.14221)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.14221.md)].
- AutoML for Deep Recommender Systems: A Survey - [[2203.13922](https://arxiv.org/abs/2203.13922)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.13922.md)].
- Continual Test-Time Domain Adaptation - [[2203.13591](https://arxiv.org/abs/2203.13591)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.13591.md)].
- MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional   Support Conversation - [[2203.13560](https://arxiv.org/abs/2203.13560)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.13560.md)].
- A Comparative Survey of Deep Active Learning - [[2203.13450](https://arxiv.org/abs/2203.13450)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.13450.md)].
- Linking Emergent and Natural Languages via Corpus Transfer - [[2203.13344](https://arxiv.org/abs/2203.13344)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.13344.md)].
- MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection - [[2203.13310](https://arxiv.org/abs/2203.13310)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.13310.md)].
- Pathways: Asynchronous Distributed Dataflow for ML - [[2203.12533](https://arxiv.org/abs/2203.12533)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.12533.md)].
- Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition - [[2203.12247](https://arxiv.org/abs/2203.12247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.12247.md)].
- Visual Prompt Tuning - [[2203.12119](https://arxiv.org/abs/2203.12119)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.12119.md)].
- Language modeling via stochastic processes - [[2203.11370](https://arxiv.org/abs/2203.11370)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.11370.md)].
- Self-Consistency Improves Chain of Thought Reasoning in Language Models - [[2203.11171](https://arxiv.org/abs/2203.11171)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.11171.md)].
- Teaching language models to support answers with verified quotes - [[2203.11147](https://arxiv.org/abs/2203.11147)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.11147.md)].
- Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue   Systems - [[2203.10610](https://arxiv.org/abs/2203.10610)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.10610.md)].
- On Robust Prefix-Tuning for Text Classification - [[2203.10378](https://arxiv.org/abs/2203.10378)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.10378.md)].
- Generative Principal Component Analysis - [[2203.09693](https://arxiv.org/abs/2203.09693)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.09693.md)].
- Monotonic Differentiable Sorting Networks - [[2203.09630](https://arxiv.org/abs/2203.09630)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.09630.md)].
- A Framework and Benchmark for Deep Batch Active Learning for Regression - [[2203.09410](https://arxiv.org/abs/2203.09410)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.09410.md)].
- RoMe: A Robust Metric for Evaluating Natural Language Generation - [[2203.09183](https://arxiv.org/abs/2203.09183)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.09183.md)].
- PLANET: Dynamic Content Planning in Autoregressive Transformers for   Long-form Text Generation - [[2203.09100](https://arxiv.org/abs/2203.09100)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.09100.md)].
- Memorizing Transformers - [[2203.08913](https://arxiv.org/abs/2203.08913)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.08913.md)].
- Multi-Stage Prompting for Knowledgeable Dialogue Generation - [[2203.08745](https://arxiv.org/abs/2203.08745)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.08745.md)].
- Differentiable DAG Sampling - [[2203.08509](https://arxiv.org/abs/2203.08509)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.08509.md)].
- Iteratively Prompt Pre-trained Language Models for Chain of Thought - [[2203.08383](https://arxiv.org/abs/2203.08383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.08383.md)].
- Multi-View Document Representation Learning for Open-Domain Dense   Retrieval - [[2203.08372](https://arxiv.org/abs/2203.08372)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.08372.md)].
- Unified Visual Transformer Compression - [[2203.08243](https://arxiv.org/abs/2203.08243)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.08243.md)].
- Vision-Based Manipulators Need to Also See from Their Hands - [[2203.12677](https://arxiv.org/abs/2203.12677)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.12677.md)].
- Augmenting Document Representations for Dense Retrieval with   Interpolation and Perturbation - [[2203.07735](https://arxiv.org/abs/2203.07735)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.07735.md)].
- ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D   Human Motion Generation - [[2203.07706](https://arxiv.org/abs/2203.07706)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.07706.md)].
- Distraction is All You Need for Fairness - [[2203.07593](https://arxiv.org/abs/2203.07593)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.07593.md)].
- ScienceWorld: Is your Agent Smarter than a 5th Grader? - [[2203.07540](https://arxiv.org/abs/2203.07540)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.07540.md)].
- Respecting causality is all you need for training physics-informed   neural networks - [[2203.07404](https://arxiv.org/abs/2203.07404)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.07404.md)].
- All in One: Exploring Unified Video-Language Pre-training - [[2203.07303](https://arxiv.org/abs/2203.07303)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.07303.md)].
- Orchestrated Value Mapping for Reinforcement Learning - [[2203.07171](https://arxiv.org/abs/2203.07171)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.07171.md)].
- PromptChainer: Chaining Large Language Model Prompts through Visual   Programming - [[2203.06566](https://arxiv.org/abs/2203.06566)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.06566.md)].
- Categories of Differentiable Polynomial Circuits for Machine Learning - [[2203.06430](https://arxiv.org/abs/2203.06430)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.06430.md)].
- BiBERT: Accurate Fully Binarized BERT - [[2203.06390](https://arxiv.org/abs/2203.06390)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.06390.md)].
- MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image   Inpainting - [[2203.06304](https://arxiv.org/abs/2203.06304)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.06304.md)].
- LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text   Retrieval - [[2203.06169](https://arxiv.org/abs/2203.06169)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.06169.md)].
- An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented   Dialogue Generation - [[2203.05843](https://arxiv.org/abs/2203.05843)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.05843.md)].
- Long Time No See! Open-Domain Conversation with Long-Term Persona Memory - [[2203.05797](https://arxiv.org/abs/2203.05797)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.05797.md)].
- Conditional Prompt Learning for Vision-Language Models - [[2203.05557](https://arxiv.org/abs/2203.05557)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.05557.md)].
- Back to the Feature: Classical 3D Features are (Almost) All You Need for   3D Anomaly Detection - [[2203.05550](https://arxiv.org/abs/2203.05550)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.05550.md)].
- Internet-augmented language models through few-shot prompting for   open-domain question answering - [[2203.05115](https://arxiv.org/abs/2203.05115)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.05115.md)].
- All You Need is LUV: Unsupervised Collection of Labeled Images using   Invisible UV Fluorescent Indicators - [[2203.04566](https://arxiv.org/abs/2203.04566)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.04566.md)].
- Source-free Video Domain Adaptation by Learning Temporal Consistency for   Action Recognition - [[2203.04559](https://arxiv.org/abs/2203.04559)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.04559.md)].
- Kubric: A scalable dataset generator - [[2203.03570](https://arxiv.org/abs/2203.03570)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.03570.md)].
- Adaptive Cross-Layer Attention for Image Restoration - [[2203.03619](https://arxiv.org/abs/2203.03619)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.03619.md)].
- Structured Pruning is All You Need for Pruning CNNs at Initialization - [[2203.02549](https://arxiv.org/abs/2203.02549)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.02549.md)].
- Neural Simulated Annealing - [[2203.02201](https://arxiv.org/abs/2203.02201)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.02201.md)].
- Training language models to follow instructions with human feedback - [[2203.02155](https://arxiv.org/abs/2203.02155)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.02155.md)].
- BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray   Classification - [[2203.01937](https://arxiv.org/abs/2203.01937)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.01937.md)].
- Self-Supervised Scene Flow Estimation with 4-D Automotive Radar - [[2203.1137](https://arxiv.org/abs/2203.1137)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.1137.md)].
- Follow-Up of Extended Shells around B[e] Stars - [[2203.0963](https://arxiv.org/abs/2203.0963)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.0963.md)].
- Video is All You Need: Attacking PPG-based Biometric Authentication - [[2203.00928](https://arxiv.org/abs/2203.00928)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.00928.md)].
- Incremental Transformer Structure Enhanced Image Inpainting with Masking   Positional Encoding - [[2203.00867](https://arxiv.org/abs/2203.00867)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.00867.md)].
- DynamicRetriever: A Pre-training Model-based IR System with Neither   Sparse nor Dense Index - [[2203.00537](https://arxiv.org/abs/2203.00537)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.00537.md)].
- MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning - [[2203.0357](https://arxiv.org/abs/2203.0357)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.0357.md)].

### February 2022
- One Model is All You Need: Multi-Task Learning Enables Simultaneous   Histology Image Segmentation and Classification - [[2203.00077](https://arxiv.org/abs/2203.00077)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2203.00077.md)].
- Rethinking and Refining the Distinct Metric - [[2202.13587](https://arxiv.org/abs/2202.13587)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.13587.md)].
- Filter-enhanced MLP is All You Need for Sequential Recommendation - [[2202.13556](https://arxiv.org/abs/2202.13556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.13556.md)].
- The Spectral Bias of Polynomial Neural Networks - [[2202.13473](https://arxiv.org/abs/2202.13473)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.13473.md)].
- AugESC: Dialogue Augmentation with Large Language Models for Emotional   Support Conversation - [[2202.13047](https://arxiv.org/abs/2202.13047)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.13047.md)].
- Ask2Mask: Guided Data Selection for Masked Speech Modeling - [[2202.12719](https://arxiv.org/abs/2202.12719)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.12719.md)].
- All You Need Is Supervised Learning: From Imitation Learning to Meta-RL   With Upside Down RL - [[2202.11960](https://arxiv.org/abs/2202.11960)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.11960.md)].
- Auto-scaling Vision Transformers without Training - [[2202.11921](https://arxiv.org/abs/2202.11921)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.11921.md)].
- COLD Decoding: Energy-based Constrained Text Generation with Langevin   Dynamics - [[2202.11705](https://arxiv.org/abs/2202.11705)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.11705.md)].
- Socialformer: Social Network Inspired Long Document Modeling for   Document Ranking - [[2202.10870](https://arxiv.org/abs/2202.10870)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.10870.md)].
- 1-WL Expressiveness Is (Almost) All You Need - [[2202.10156](https://arxiv.org/abs/2202.10156)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.10156.md)].
- Pseudo Numerical Methods for Diffusion Models on Manifolds - [[2202.09778](https://arxiv.org/abs/2202.09778)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.09778.md)].
- Bit-wise Training of Neural Network Weights - [[2202.09571](https://arxiv.org/abs/2202.09571)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.09571.md)].
- Gaussian Mixture Convolution Networks - [[2202.09153](https://arxiv.org/abs/2202.09153)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.09153.md)].
- cosFormer: Rethinking Softmax in Attention - [[2202.08791](https://arxiv.org/abs/2202.08791)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.08791.md)].
- Task-Agnostic Graph Explanations - [[2202.08335](https://arxiv.org/abs/2202.08335)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.08335.md)].
- Not All Patches are What You Need: Expediting Vision Transformers via   Token Reorganizations - [[2202.07800](https://arxiv.org/abs/2202.07800)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.07800.md)].
- Don't Lie to Me! Robust and Efficient Explainability with Verified   Perturbation Analysis - [[2202.07728](https://arxiv.org/abs/2202.07728)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.07728.md)].
- A precortical module for robust CNNs to light variations - [[2202.07432](https://arxiv.org/abs/2202.07432)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.07432.md)].
- Transformer Memory as a Differentiable Search Index - [[2202.06991](https://arxiv.org/abs/2202.06991)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.06991.md)].
- Domain Adaptation via Prompt Learning - [[2202.06687](https://arxiv.org/abs/2202.06687)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.06687.md)].
- FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment   Act Flows - [[2202.06633](https://arxiv.org/abs/2202.06633)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.06633.md)].
- A Contrastive Framework for Neural Text Generation - [[2202.06417](https://arxiv.org/abs/2202.06417)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.06417.md)].
- Conditional Contrastive Learning with Kernel - [[2202.05458](https://arxiv.org/abs/2202.05458)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.05458.md)].
- Domain Adversarial Training: A Game Perspective - [[2202.05352](https://arxiv.org/abs/2202.05352)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.05352.md)].
- InPars: Data Augmentation for Information Retrieval using Large Language   Models - [[2202.05144](https://arxiv.org/abs/2202.05144)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.05144.md)].
- Neural Sheaf Diffusion: A Topological Perspective on Heterophily and   Oversmoothing in GNNs - [[2202.04579](https://arxiv.org/abs/2202.04579)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.04579.md)].
- GiraffeDet: A Heavy-Neck Paradigm for Object Detection - [[2202.04256](https://arxiv.org/abs/2202.04256)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.04256.md)].
- Distillation with Contrast is All You Need for Self-Supervised Point   Cloud Representation Learning - [[2202.04241](https://arxiv.org/abs/2202.04241)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.04241.md)].
- DALL-Eval: Probing the Reasoning Skills and Social Biases of   Text-to-Image Generation Models - [[2202.04053](https://arxiv.org/abs/2202.04053)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.04053.md)].
- Survey of Hallucination in Natural Language Generation - [[2202.03629](https://arxiv.org/abs/2202.03629)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.03629.md)].
- GrASP: Gradient-Based Affordance Selection for Planning - [[2202.04772](https://arxiv.org/abs/2202.04772)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.04772.md)].
- PolicyCleanse: Backdoor Detection and Mitigation in Reinforcement   Learning - [[2202.03609](https://arxiv.org/abs/2202.03609)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.03609.md)].
- Message Passing Neural PDE Solvers - [[2202.03376](https://arxiv.org/abs/2202.03376)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.03376.md)].
- OFA: Unifying Architectures, Tasks, and Modalities Through a Simple   Sequence-to-Sequence Learning Framework - [[2202.03052](https://arxiv.org/abs/2202.03052)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.03052.md)].
- User Satisfaction Estimation with Sequential Dialogue Act Modeling in   Goal-oriented Conversational Systems - [[2202.02912](https://arxiv.org/abs/2202.02912)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.02912.md)].
- One-Nearest-Neighbor Search is All You Need for Minimax Optimal   Regression and Classification - [[2202.02464](https://arxiv.org/abs/2202.02464)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.02464.md)].
- mSLAM: Massively multilingual joint pre-training for speech and text - [[2202.01374](https://arxiv.org/abs/2202.01374)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.01374.md)].
- A Survey on Retrieval-Augmented Text Generation - [[2202.01110](https://arxiv.org/abs/2202.01110)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.01110.md)].
- ColloSSL: Collaborative Self-Supervised Learning for Human Activity   Recognition - [[2202.00758](https://arxiv.org/abs/2202.00758)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.00758.md)].
- CLA-NeRF: Category-Level Articulated Neural Radiance Field - [[2202.00181](https://arxiv.org/abs/2202.00181)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2202.00181.md)].

### January 2022
- Signing the Supermask: Keep, Hide, Invert - [[2201.13361](https://arxiv.org/abs/2201.13361)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.13361.md)].
- Few-Shot Backdoor Attacks on Visual Object Tracking - [[2201.13178](https://arxiv.org/abs/2201.13178)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.13178.md)].
- Robust Imitation Learning from Corrupted Demonstrations - [[2201.12594](https://arxiv.org/abs/2201.12594)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.12594.md)].
- ItôWave: Itô Stochastic Differential Equation Is All You Need For   Wave Generation - [[2201.12519](https://arxiv.org/abs/2201.12519)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.12519.md)].
- Counterfactual Plans under Distributional Ambiguity - [[2201.12487](https://arxiv.org/abs/2201.12487)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.12487.md)].
- DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR - [[2201.12329](https://arxiv.org/abs/2201.12329)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.12329.md)].
- Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A   Large-Scale Generative Language Model - [[2201.11990](https://arxiv.org/abs/2201.11990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.11990.md)].
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models - [[2201.11903](https://arxiv.org/abs/2201.11903)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.11903.md)].
- DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence - [[2201.11176](https://arxiv.org/abs/2201.11176)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.11176.md)].
- Natural Language Descriptions of Deep Visual Features - [[2201.11114](https://arxiv.org/abs/2201.11114)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.11114.md)].
- Explanatory Learning: Beyond Empiricism in Neural Networks - [[2201.10222](https://arxiv.org/abs/2201.10222)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.10222.md)].
- RePaint: Inpainting using Denoising Diffusion Probabilistic Models - [[2201.09865](https://arxiv.org/abs/2201.09865)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.09865.md)].
- Learning Graph Augmentations to Learn Graph Representations - [[2201.09830](https://arxiv.org/abs/2201.09830)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.09830.md)].
- Patches Are All You Need? - [[2201.09792](https://arxiv.org/abs/2201.09792)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.09792.md)].
- Neural Implicit Surface Evolution - [[2201.09636](https://arxiv.org/abs/2201.09636)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.09636.md)].
- Universal Online Learning with Unbounded Losses: Memory Is All You Need - [[2201.08903](https://arxiv.org/abs/2201.08903)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.08903.md)].
- Fast Differentiable Matrix Square Root - [[2201.08663](https://arxiv.org/abs/2201.08663)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.08663.md)].
- End-to-end Generative Pretraining for Multimodal Video Captioning - [[2201.08264](https://arxiv.org/abs/2201.08264)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.08264.md)].
- LaMDA: Language Models for Dialog Applications - [[2201.08239](https://arxiv.org/abs/2201.08239)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.08239.md)].
- Safe Deep RL in 3D Environments using Human Feedback - [[2201.08102](https://arxiv.org/abs/2201.08102)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.08102.md)].
- Language Models as Zero-Shot Planners: Extracting Actionable Knowledge   for Embodied Agents - [[2201.07207](https://arxiv.org/abs/2201.07207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.07207.md)].
- Parameter-free Online Test-time Adaptation - [[2201.05718](https://arxiv.org/abs/2201.05718)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.05718.md)].
- Progressively Optimized Bi-Granular Document Representation for Scalable   Embedding Based Retrieval - [[2201.05409](https://arxiv.org/abs/2201.05409)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.05409.md)].
- A Survey of Controllable Text Generation using Transformer-based   Pre-trained Language Models - [[2201.05337](https://arxiv.org/abs/2201.05337)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.05337.md)].
- Neural Circuit Architectural Priors for Embodied Control - [[2201.05242](https://arxiv.org/abs/2201.05242)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.05242.md)].
- SparseDet: Improving Sparsely Annotated Object Detection with   Pseudo-positive Mining - [[2201.04620](https://arxiv.org/abs/2201.04620)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.04620.md)].
- Structure and Semantics Preserving Document Representations - [[2201.03720](https://arxiv.org/abs/2201.03720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.03720.md)].
- QuadTree Attention for Vision Transformers - [[2201.02767](https://arxiv.org/abs/2201.02767)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.02767.md)].
- Categorical Hopfield Networks - [[2201.02756](https://arxiv.org/abs/2201.02756)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.02756.md)].
- Grokking: Generalization Beyond Overfitting on Small Algorithmic   Datasets - [[2201.02177](https://arxiv.org/abs/2201.02177)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.02177.md)].
- All You Need In Sign Language Production - [[2201.01609](https://arxiv.org/abs/2201.01609)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.01609.md)].
- C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational   Recommender System - [[2201.02732](https://arxiv.org/abs/2201.02732)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.02732.md)].
- Global existence and decay estimates for a viscoelastic plate equation   with nonlinear damping and logarithmic nonlinearity - [[2201.0983](https://arxiv.org/abs/2201.0983)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.0983.md)].
</div></details>
<details open><summary><strong>2021</strong></summary><div>

### December 2021
- Optimal Representations for Covariate Shift - [[2201.00057](https://arxiv.org/abs/2201.00057)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2201.00057.md)].
- On the Role of Neural Collapse in Transfer Learning - [[2112.15121](https://arxiv.org/abs/2112.15121)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.15121.md)].
- Self Reward Design with Fine-grained Interpretability - [[2112.15034](https://arxiv.org/abs/2112.15034)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.15034.md)].
- Generative Kernel Continual learning - [[2112.13410](https://arxiv.org/abs/2112.13410)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.13410.md)].
- Revisiting Transformation Invariant Geometric Deep Learning: Are Initial   Representations All You Need? - [[2112.12345](https://arxiv.org/abs/2112.12345)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.12345.md)].
- ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce   Strong Baselines For Combinatorial Optimization Problems, If Tuned and   Trained Properly, on Appropriate Data - [[2112.12251](https://arxiv.org/abs/2112.12251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.12251.md)].
- Cost Aggregation Is All You Need for Few-Shot Segmentation - [[2112.11685](https://arxiv.org/abs/2112.11685)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.11685.md)].
- Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning - [[2112.10982](https://arxiv.org/abs/2112.10982)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.10982.md)].
- High-Resolution Image Synthesis with Latent Diffusion Models - [[2112.10752](https://arxiv.org/abs/2112.10752)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.10752.md)].
- Transformers Can Do Bayesian Inference - [[2112.10510](https://arxiv.org/abs/2112.10510)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.10510.md)].
- Align and Prompt: Video-and-Language Pre-training with Entity Prompts - [[2112.09583](https://arxiv.org/abs/2112.09583)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.09583.md)].
- WebGPT: Browser-assisted question-answering with human feedback - [[2112.09332](https://arxiv.org/abs/2112.09332)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.09332.md)].
- Automated Deep Learning: Neural Architecture Search Is Not the End - [[2112.09245](https://arxiv.org/abs/2112.09245)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.09245.md)].
- All You Need is RAW: Defending Against Adversarial Attacks with Camera   Image Pipelines - [[2112.09219](https://arxiv.org/abs/2112.09219)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.09219.md)].
- Unsupervised Dense Information Retrieval with Contrastive Learning - [[2112.09118](https://arxiv.org/abs/2112.09118)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.09118.md)].
- NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead   Heuristics - [[2112.08726](https://arxiv.org/abs/2112.08726)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.08726.md)].
- Reframing Human-AI Collaboration for Generating Free-Text Explanations - [[2112.08674](https://arxiv.org/abs/2112.08674)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.08674.md)].
- Learning to Prompt for Continual Learning - [[2112.08654](https://arxiv.org/abs/2112.08654)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.08654.md)].
- Learning To Retrieve Prompts for In-Context Learning - [[2112.08633](https://arxiv.org/abs/2112.08633)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.08633.md)].
- Call for Customized Conversation: Customized Conversation Grounding   Persona and Knowledge - [[2112.08619](https://arxiv.org/abs/2112.08619)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.08619.md)].
- Rethinking Nearest Neighbors for Visual Classification - [[2112.08459](https://arxiv.org/abs/2112.08459)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.08459.md)].
- Improving Conversational Recommendation Systems' Quality with   Context-Aware Item Meta Information - [[2112.08140](https://arxiv.org/abs/2112.08140)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.08140.md)].
- Massive-scale Decoding for Text Generation using Lattices - [[2112.07660](https://arxiv.org/abs/2112.07660)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.07660.md)].
- MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue   Evaluation - [[2112.07194](https://arxiv.org/abs/2112.07194)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.07194.md)].
- Real-Time Neural Voice Camouflage - [[2112.07076](https://arxiv.org/abs/2112.07076)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.07076.md)].
- GLaM: Efficient Scaling of Language Models with Mixture-of-Experts - [[2112.06905](https://arxiv.org/abs/2112.06905)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.06905.md)].
- VL-Adapter: Parameter-Efficient Transfer Learning for   Vision-and-Language Tasks - [[2112.06825](https://arxiv.org/abs/2112.06825)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.06825.md)].
- Step-unrolled Denoising Autoencoders for Text Generation - [[2112.06749](https://arxiv.org/abs/2112.06749)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.06749.md)].
- CR-FIQA: Face Image Quality Assessment by Learning Sample Relative   Classifiability - [[2112.06592](https://arxiv.org/abs/2112.06592)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.06592.md)].
- Self-Supervised Bot Play for Conversational Recommendation with   Justifications - [[2112.05197](https://arxiv.org/abs/2112.05197)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.05197.md)].
- On Convergence of Federated Averaging Langevin Dynamics - [[2112.05120](https://arxiv.org/abs/2112.05120)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.05120.md)].
- Scaling Language Models: Methods, Analysis &amp; Insights from Training   Gopher - [[2112.11446](https://arxiv.org/abs/2112.11446)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.11446.md)].
- Prompting Visual-Language Models for Efficient Video Understanding - [[2112.04478](https://arxiv.org/abs/2112.04478)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.04478.md)].
- Improving language models by retrieving from trillions of tokens - [[2112.04426](https://arxiv.org/abs/2112.04426)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.04426.md)].
- Pareto Domain Adaptation - [[2112.04137](https://arxiv.org/abs/2112.04137)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.04137.md)].
- DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance   Improves Out-Of-Distribution Face Identification - [[2112.04016](https://arxiv.org/abs/2112.04016)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.04016.md)].
- Universalizing Weak Supervision - [[2112.03865](https://arxiv.org/abs/2112.03865)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.03865.md)].
- Genetic Algorithm for Constrained Molecular Inverse Design - [[2112.03518](https://arxiv.org/abs/2112.03518)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.03518.md)].
- Variational Wasserstein gradient flow - [[2112.02424](https://arxiv.org/abs/2112.02424)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.02424.md)].
- YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice   Conversion for everyone - [[2112.02418](https://arxiv.org/abs/2112.02418)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.02418.md)].
- Linear algebra with transformers - [[2112.01898](https://arxiv.org/abs/2112.01898)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.01898.md)].
- DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting - [[2112.01518](https://arxiv.org/abs/2112.01518)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.01518.md)].
- Mind the gap in university rankings: a complex network approach towards   fairness - [[2112.1341](https://arxiv.org/abs/2112.1341)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.1341.md)].
- Magnetic correction to the Anomalous Magnetic Moment of Electron - [[2112.1051](https://arxiv.org/abs/2112.1051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.1051.md)].
- Neural Stochastic Dual Dynamic Programming - [[2112.00874](https://arxiv.org/abs/2112.00874)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.00874.md)].
- A General Language Assistant as a Laboratory for Alignment - [[2112.00861](https://arxiv.org/abs/2112.00861)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.00861.md)].
- Routing with Self-Attention for Multimodal Capsule Networks - [[2112.00775](https://arxiv.org/abs/2112.00775)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.00775.md)].
- MAD: A Scalable Dataset for Language Grounding in Videos from Movie   Audio Descriptions - [[2112.00431](https://arxiv.org/abs/2112.00431)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.00431.md)].

### November 2021
- Show Your Work: Scratchpads for Intermediate Computation with Language   Models - [[2112.00114](https://arxiv.org/abs/2112.00114)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2112.00114.md)].
- Towards Robust and Adaptive Motion Forecasting: A Causal Representation   Perspective - [[2111.14820](https://arxiv.org/abs/2111.14820)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.14820.md)].
- GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with   Semi-Supervised Learning and Explicit Policy Injection - [[2111.14592](https://arxiv.org/abs/2111.14592)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.14592.md)].
- A category theory framework for Bayesian learning - [[2111.14293](https://arxiv.org/abs/2111.14293)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.14293.md)].
- Pre-training Methods in Information Retrieval - [[2111.13853](https://arxiv.org/abs/2111.13853)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.13853.md)].
- SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection - [[2111.13495](https://arxiv.org/abs/2111.13495)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.13495.md)].
- SwinBERT: End-to-End Transformers with Sparse Attention for Video   Captioning - [[2111.13196](https://arxiv.org/abs/2111.13196)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.13196.md)].
- Group equivariant neural posterior estimation - [[2111.13139](https://arxiv.org/abs/2111.13139)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.13139.md)].
- CDNet is all you need: Cascade DCN based underwater object detection   RCNN - [[2111.12982](https://arxiv.org/abs/2111.12982)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.12982.md)].
- VIOLET : End-to-End Video-Language Transformers with Masked Visual-token   Modeling - [[2111.12681](https://arxiv.org/abs/2111.12681)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.12681.md)].
- Hierarchical Modular Network for Video Captioning - [[2111.12476](https://arxiv.org/abs/2111.12476)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.12476.md)].
- Node-Level Differentially Private Graph Neural Networks - [[2111.15521](https://arxiv.org/abs/2111.15521)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.15521.md)].
- Subgraph Permutation Equivariant Networks - [[2111.11840](https://arxiv.org/abs/2111.11840)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.11840.md)].
- Variance Reduction in Deep Learning: More Momentum is All You Need - [[2111.11828](https://arxiv.org/abs/2111.11828)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.11828.md)].
- Deep Point Cloud Reconstruction - [[2111.11704](https://arxiv.org/abs/2111.11704)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.11704.md)].
- Lossless Compression with Probabilistic Circuits - [[2111.11632](https://arxiv.org/abs/2111.11632)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.11632.md)].
- Direct Voxel Grid Optimization: Super-fast Convergence for Radiance   Fields Reconstruction - [[2111.11215](https://arxiv.org/abs/2111.11215)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.11215.md)].
- Plant 'n' Seek: Can You Find the Winning Ticket? - [[2111.11153](https://arxiv.org/abs/2111.11153)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.11153.md)].
- Deep Probability Estimation - [[2111.10734](https://arxiv.org/abs/2111.10734)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.10734.md)].
- Self-Supervised Point Cloud Completion via Inpainting - [[2111.10701](https://arxiv.org/abs/2111.10701)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.10701.md)].
- Are Vision Transformers Robust to Patch Perturbations? - [[2111.10659](https://arxiv.org/abs/2111.10659)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.10659.md)].
- Deep Safe Multi-Task Learning - [[2111.10601](https://arxiv.org/abs/2111.10601)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.10601.md)].
- FBNetV5: Neural Architecture Search for Multiple Tasks in One Run - [[2111.10007](https://arxiv.org/abs/2111.10007)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.10007.md)].
- One-Shot Generative Domain Adaptation - [[2111.09876](https://arxiv.org/abs/2111.09876)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.09876.md)].
- Perceiving and Modeling Density is All You Need for Image Dehazing - [[2111.09733](https://arxiv.org/abs/2111.09733)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.09733.md)].
- Selective Ensembles for Consistent Predictions - [[2111.08230](https://arxiv.org/abs/2111.08230)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.08230.md)].
- Bolstering Stochastic Gradient Descent with Model Building - [[2111.07058](https://arxiv.org/abs/2111.07058)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.07058.md)].
- Gradients are Not All You Need - [[2111.05803](https://arxiv.org/abs/2111.05803)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.05803.md)].
- Sliced Recursive Transformer - [[2111.05297](https://arxiv.org/abs/2111.05297)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.05297.md)].
- Realizable Learning is All You Need - [[2111.04746](https://arxiv.org/abs/2111.04746)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.04746.md)].
- MT3: Multi-Task Multitrack Music Transcription - [[2111.03017](https://arxiv.org/abs/2111.03017)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.03017.md)].
- Is Bang-Bang Control All You Need? Solving Continuous Control with   Bernoulli Policies - [[2111.02552](https://arxiv.org/abs/2111.02552)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.02552.md)].
- LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs - [[2111.02114](https://arxiv.org/abs/2111.02114)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.02114.md)].
- DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep   Neural Networks - [[2111.1482](https://arxiv.org/abs/2111.1482)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.1482.md)].
- Can Vision Transformers Perform Convolution? - [[2111.01353](https://arxiv.org/abs/2111.01353)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.01353.md)].
- Deep neural networks as nested dynamical systems - [[2111.01297](https://arxiv.org/abs/2111.01297)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.01297.md)].
- LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for   Skeleton-based Action Recognition - [[2111.0823](https://arxiv.org/abs/2111.0823)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.0823.md)].
- Towards the Generalization of Contrastive Self-Supervised Learning - [[2111.00743](https://arxiv.org/abs/2111.00743)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.00743.md)].

### October 2021
- Template Filling for Controllable Commonsense Reasoning - [[2111.00539](https://arxiv.org/abs/2111.00539)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2111.00539.md)].
- Hyperparameter Tuning is All You Need for LISTA - [[2110.15900](https://arxiv.org/abs/2110.15900)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.15900.md)].
- Improving Fairness via Federated Learning - [[2110.15545](https://arxiv.org/abs/2110.15545)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.15545.md)].
- The magnitude vector of images - [[2110.15188](https://arxiv.org/abs/2110.15188)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.15188.md)].
- Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight   Fine-Tuning - [[2110.14943](https://arxiv.org/abs/2110.14943)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.14943.md)].
- Training Verifiers to Solve Math Word Problems - [[2110.14168](https://arxiv.org/abs/2110.14168)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.14168.md)].
- s2s-ft: Fine-Tuning Pretrained Transformer Encoders for   Sequence-to-Sequence Learning - [[2110.13640](https://arxiv.org/abs/2110.13640)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.13640.md)].
- The Efficiency Misnomer - [[2110.12894](https://arxiv.org/abs/2110.12894)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.12894.md)].
- Facilitating Database Tuning with Hyper-Parameter Optimization: A   Comprehensive Experimental Evaluation - [[2110.12654](https://arxiv.org/abs/2110.12654)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.12654.md)].
- DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard   Challenge 2021 - [[2110.12612](https://arxiv.org/abs/2110.12612)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.12612.md)].
- Double Trouble: How to not explain a text classifier's decisions using   counterfactuals synthesized by masked language models? - [[2110.11929](https://arxiv.org/abs/2110.11929)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.11929.md)].
- Center Loss Regularization for Continual Learning - [[2110.11314](https://arxiv.org/abs/2110.11314)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.11314.md)].
- Fast Model Editing at Scale - [[2110.11309](https://arxiv.org/abs/2110.11309)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.11309.md)].
- SILG: The Multi-environment Symbolic Interactive Language Grounding   Benchmark - [[2110.10661](https://arxiv.org/abs/2110.10661)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.10661.md)].
- BERMo: What can BERT learn from ELMo? - [[2110.15802](https://arxiv.org/abs/2110.15802)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.15802.md)].
- TLDR: Twin Learning for Dimensionality Reduction - [[2110.09455](https://arxiv.org/abs/2110.09455)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.09455.md)].
- Natural Attribute-based Shift Detection - [[2110.09276](https://arxiv.org/abs/2110.09276)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.09276.md)].
- Illiterate DALL-E Learns to Compose - [[2110.11405](https://arxiv.org/abs/2110.11405)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.11405.md)].
- Multimodal Dialogue Response Generation - [[2110.08515](https://arxiv.org/abs/2110.08515)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.08515.md)].
- Comparing Human and Machine Bias in Face Recognition - [[2110.08396](https://arxiv.org/abs/2110.08396)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.08396.md)].
- Generated Knowledge Prompting for Commonsense Reasoning - [[2110.08387](https://arxiv.org/abs/2110.08387)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.08387.md)].
- On Learning the Transformer Kernel - [[2110.08323](https://arxiv.org/abs/2110.08323)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.08323.md)].
- Multitask Prompted Training Enables Zero-Shot Task Generalization - [[2110.08207](https://arxiv.org/abs/2110.08207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.08207.md)].
- Guided Point Contrastive Learning for Semi-supervised Point Cloud   Semantic Segmentation - [[2110.08188](https://arxiv.org/abs/2110.08188)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.08188.md)].
- Few-Shot Bot: Prompt-Based Learning for Dialogue Systems - [[2110.08118](https://arxiv.org/abs/2110.08118)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.08118.md)].
- Jurassic is (almost) All You Need: Few-Shot Meaning-to-Text Generation   for Open-Domain Dialogue - [[2110.08094](https://arxiv.org/abs/2110.08094)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.08094.md)].
- On-Policy Model Errors in Reinforcement Learning - [[2110.07985](https://arxiv.org/abs/2110.07985)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.07985.md)].
- ContraQA: Question Answering under Contradicting Contexts - [[2110.07803](https://arxiv.org/abs/2110.07803)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.07803.md)].
- RecInDial: A Unified Framework for Conversational Recommendation with   Pretrained Language Models - [[2110.07477](https://arxiv.org/abs/2110.07477)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.07477.md)].
- RocketQAv2: A Joint Training Method for Dense Passage Retrieval and   Passage Re-ranking - [[2110.07367](https://arxiv.org/abs/2110.07367)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.07367.md)].
- CLIP4Caption: CLIP for Video Caption - [[2110.06615](https://arxiv.org/abs/2110.06615)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.06615.md)].
- Parallel Deep Neural Networks Have Zero Duality Gap - [[2110.06482](https://arxiv.org/abs/2110.06482)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.06482.md)].
- Causal discovery from conditionally stationary time-series - [[2110.06257](https://arxiv.org/abs/2110.06257)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.06257.md)].
- Molecular Graph Generation via Geometric Scattering - [[2110.06241](https://arxiv.org/abs/2110.06241)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.06241.md)].
- Open-Set Recognition: a Good Closed-Set Classifier is All You Need? - [[2110.06207](https://arxiv.org/abs/2110.06207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.06207.md)].
- Efficient Neural Ranking using Forward Indexes - [[2110.06051](https://arxiv.org/abs/2110.06051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.06051.md)].
- DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational   Transformer - [[2110.05999](https://arxiv.org/abs/2110.05999)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.05999.md)].
- Relative Molecule Self-Attention Transformer - [[2110.05841](https://arxiv.org/abs/2110.05841)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.05841.md)].
- Learning Discrete Representations via Constrained Clustering for   Effective and Efficient Dense Retrieval - [[2110.05789](https://arxiv.org/abs/2110.05789)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.05789.md)].
- Certified Patch Robustness via Smoothed Vision Transformers - [[2110.07719](https://arxiv.org/abs/2110.07719)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.07719.md)].
- Global Vision Transformer Pruning with Hessian-Aware Saliency - [[2110.04869](https://arxiv.org/abs/2110.04869)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.04869.md)].
- Long Expressive Memory for Sequence Modeling - [[2110.04744](https://arxiv.org/abs/2110.04744)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.04744.md)].
- Multi-Agent MDP Homomorphic Networks - [[2110.04495](https://arxiv.org/abs/2110.04495)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.04495.md)].
- Neural Link Prediction with Walk Pooling - [[2110.04375](https://arxiv.org/abs/2110.04375)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.04375.md)].
- FRL: Federated Rank Learning - [[2110.04350](https://arxiv.org/abs/2110.04350)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.04350.md)].
- On the Limitations of Multimodal VAEs - [[2110.04121](https://arxiv.org/abs/2110.04121)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.04121.md)].
- Token Pooling in Vision Transformers - [[2110.03860](https://arxiv.org/abs/2110.03860)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.03860.md)].
- FOCUS: Familiar Objects in Common and Uncommon Settings - [[2110.03804](https://arxiv.org/abs/2110.03804)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.03804.md)].
- Hyperparameter Tuning with Renyi Differential Privacy - [[2110.03620](https://arxiv.org/abs/2110.03620)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.03620.md)].
- Adversarial Retriever-Ranker for dense text retrieval - [[2110.03611](https://arxiv.org/abs/2110.03611)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.03611.md)].
- RAR: Region-Aware Point Cloud Registration - [[2110.03544](https://arxiv.org/abs/2110.03544)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.03544.md)].
- Cartoon Explanations of Image Classifiers - [[2110.03485](https://arxiv.org/abs/2110.03485)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.03485.md)].
- Situated Dialogue Learning through Procedural Environment Generation - [[2110.03262](https://arxiv.org/abs/2110.03262)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.03262.md)].
- On the Optimal Memorization Power of ReLU Neural Networks - [[2110.03187](https://arxiv.org/abs/2110.03187)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.03187.md)].
- Attention is All You Need? Good Embeddings with Statistics are   enough:Large Scale Audio Understanding without Transformers/ Convolutions/   BERTs/ Mixers/ Attention/ RNNs or .... - [[2110.03183](https://arxiv.org/abs/2110.03183)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.03183.md)].
- Generative Modeling with Optimal Transport Maps - [[2110.02999](https://arxiv.org/abs/2110.02999)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.02999.md)].
- Federated Learning via Plurality Vote - [[2110.02998](https://arxiv.org/abs/2110.02998)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.02998.md)].
- Nested Policy Reinforcement Learning - [[2110.02879](https://arxiv.org/abs/2110.02879)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.02879.md)].
- How BPE Affects Memorization in Transformers - [[2110.02782](https://arxiv.org/abs/2110.02782)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.02782.md)].
- On The Transferability of Deep-Q Networks - [[2110.02639](https://arxiv.org/abs/2110.02639)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.02639.md)].
- Test-time Batch Statistics Calibration for Covariate Shift - [[2110.04065](https://arxiv.org/abs/2110.04065)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.04065.md)].
- Geometric Algebra Attention Networks for Small Point Clouds - [[2110.02393](https://arxiv.org/abs/2110.02393)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.02393.md)].
- EntQA: Entity Linking as Question Answering - [[2110.02369](https://arxiv.org/abs/2110.02369)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.02369.md)].
- Autoregressive Diffusion Models - [[2110.02037](https://arxiv.org/abs/2110.02037)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.02037.md)].
- AI Chains: Transparent and Controllable Human-AI Interaction by Chaining   Large Language Model Prompts - [[2110.01691](https://arxiv.org/abs/2110.01691)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.01691.md)].
- Generalized Kernel Thinning - [[2110.01593](https://arxiv.org/abs/2110.01593)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.01593.md)].
- One Timestep is All You Need: Training Spiking Neural Networks with   Ultra Low Latency - [[2110.05929](https://arxiv.org/abs/2110.05929)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.05929.md)].
- Batch size-invariance for policy optimization - [[2110.00641](https://arxiv.org/abs/2110.00641)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.00641.md)].
- Dynamics of targeted ransomware negotiation - [[2110.0362](https://arxiv.org/abs/2110.0362)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.0362.md)].
- Vision-Only Robot Navigation in a Neural Radiance World - [[2110.00168](https://arxiv.org/abs/2110.00168)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.00168.md)].

### September 2021
- Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System - [[2109.14739](https://arxiv.org/abs/2109.14739)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.14739.md)].
- Stochastic Training is Not Necessary for Generalization - [[2109.14119](https://arxiv.org/abs/2109.14119)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.14119.md)].
- IGLU: Efficient GCN Training via Lazy Updates - [[2109.13995](https://arxiv.org/abs/2109.13995)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.13995.md)].
- Unsolved Problems in ML Safety - [[2109.13916](https://arxiv.org/abs/2109.13916)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.13916.md)].
- OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset   with Visual Contexts - [[2109.12761](https://arxiv.org/abs/2109.12761)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.12761.md)].
- Learning Neural Templates for Recommender Dialogue System - [[2109.12302](https://arxiv.org/abs/2109.12302)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.12302.md)].
- CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models - [[2109.11797](https://arxiv.org/abs/2109.11797)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.11797.md)].
- A Survey on Cost Types, Interaction Schemes, and Annotator Performance   Models in Selection Algorithms for Active Learning in Classification - [[2109.11301](https://arxiv.org/abs/2109.11301)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.11301.md)].
- Recursively Summarizing Books with Human Feedback - [[2109.10862](https://arxiv.org/abs/2109.10862)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.10862.md)].
- Scalable and Efficient MoE Training for Multitask Multilingual Models - [[2109.10465](https://arxiv.org/abs/2109.10465)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.10465.md)].
- SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval - [[2109.10086](https://arxiv.org/abs/2109.10086)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.10086.md)].
- Neural networks with trainable matrix activation functions - [[2109.09948](https://arxiv.org/abs/2109.09948)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.09948.md)].
- PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation - [[2109.09519](https://arxiv.org/abs/2109.09519)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.09519.md)].
- DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational   Recommendation - [[2109.08877](https://arxiv.org/abs/2109.08877)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.08877.md)].
- Perspective-taking and Pragmatics for Generating Empathetic Responses   Focused on Emotion Causes - [[2109.08828](https://arxiv.org/abs/2109.08828)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.08828.md)].
- Primer: Searching for Efficient Transformers for Language Modeling - [[2109.08668](https://arxiv.org/abs/2109.08668)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.08668.md)].
- Is Curiosity All You Need? On the Utility of Emergent Behaviours from   Curious Exploration - [[2109.08603](https://arxiv.org/abs/2109.08603)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.08603.md)].
- Torch.manual_seed(3407) is all you need: On the influence of random   seeds in deep learning architectures for computer vision - [[2109.08203](https://arxiv.org/abs/2109.08203)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.08203.md)].
- Scaling Laws for Neural Machine Translation - [[2109.07740](https://arxiv.org/abs/2109.07740)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.07740.md)].
- Transferable Persona-Grounded Dialogues via Grounded Minimal Edits - [[2109.07713](https://arxiv.org/abs/2109.07713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.07713.md)].
- Attention Is Indeed All You Need: Semantically Attention-Guided Decoding   for Data-to-Text NLG - [[2109.07043](https://arxiv.org/abs/2109.07043)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.07043.md)].
- Benchmarking the Spectrum of Agent Capabilities - [[2109.06780](https://arxiv.org/abs/2109.06780)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.06780.md)].
- Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation - [[2109.06513](https://arxiv.org/abs/2109.06513)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.06513.md)].
- Space Time Recurrent Memory Network - [[2109.06474](https://arxiv.org/abs/2109.06474)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.06474.md)].
- Compression, Transduction, and Creation: A Unified Framework for   Evaluating Natural Language Generation - [[2109.06379](https://arxiv.org/abs/2109.06379)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.06379.md)].
- WeakSTIL: Weak whole-slide image level stromal tumor infiltrating   lymphocyte scores are all you need - [[2109.05892](https://arxiv.org/abs/2109.05892)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.05892.md)].
- CEM: Commonsense-aware Empathetic Response Generation - [[2109.05739](https://arxiv.org/abs/2109.05739)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.05739.md)].
- Bootstrapped Meta-Learning - [[2109.04504](https://arxiv.org/abs/2109.04504)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.04504.md)].
- A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded   Dialogue Generation - [[2109.04096](https://arxiv.org/abs/2109.04096)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.04096.md)].
- Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive   Generation for Open-Domain Dialogue Systems - [[2109.04084](https://arxiv.org/abs/2109.04084)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.04084.md)].
- Local Augmentation for Graph Neural Networks - [[2109.03856](https://arxiv.org/abs/2109.03856)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.03856.md)].
- Sqrt(d) Dimension Dependence of Langevin Monte Carlo - [[2109.03839](https://arxiv.org/abs/2109.03839)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.03839.md)].
- Mask is All You Need: Rethinking Mask R-CNN for Dense and   Arbitrary-Shaped Scene Text Detection - [[2109.03426](https://arxiv.org/abs/2109.03426)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.03426.md)].
- Learning Neural Causal Models with Active Interventions - [[2109.02429](https://arxiv.org/abs/2109.02429)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.02429.md)].
- Learning to Prompt for Vision-Language Models - [[2109.01134](https://arxiv.org/abs/2109.01134)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.01134.md)].
- The fractional chromatic number of double cones over graphs - [[2109.0774](https://arxiv.org/abs/2109.0774)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.0774.md)].
- Regional Adversarial Training for Better Robust Generalization - [[2109.0678](https://arxiv.org/abs/2109.0678)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.0678.md)].
- Searching for Efficient Multi-Stage Vision Transformers - [[2109.00642](https://arxiv.org/abs/2109.00642)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.00642.md)].
- Boosting Search Engines with Interactive Agents - [[2109.00527](https://arxiv.org/abs/2109.00527)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2109.00527.md)].

### August 2021
- Improving Query Representations for Dense Retrieval with Pseudo   Relevance Feedback - [[2108.13454](https://arxiv.org/abs/2108.13454)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.13454.md)].
- Neural HMMs are all you need (for high-quality attention-free TTS) - [[2108.13320](https://arxiv.org/abs/2108.13320)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.13320.md)].
- Subjective Learning for Open-Ended Data - [[2108.12113](https://arxiv.org/abs/2108.12113)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.12113.md)].
- Photos Are All You Need for Reciprocal Recommendation in Online Dating - [[2108.11714](https://arxiv.org/abs/2108.11714)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.11714.md)].
- SimVLM: Simple Visual Language Model Pretraining with Weak Supervision - [[2108.10904](https://arxiv.org/abs/2108.10904)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.10904.md)].
- Contrastive Learning of User Behavior Sequence for Context-Aware   Document Ranking - [[2108.10510](https://arxiv.org/abs/2108.10510)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.10510.md)].
- One TTS Alignment To Rule Them All - [[2108.10447](https://arxiv.org/abs/2108.10447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.10447.md)].
- Dynamic processes in superconductors and the laws of thermodynamics - [[2110.0386](https://arxiv.org/abs/2110.0386)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2110.0386.md)].
- Anarchic Federated Learning - [[2108.09875](https://arxiv.org/abs/2108.09875)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.09875.md)].
- Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need - [[2108.09346](https://arxiv.org/abs/2108.09346)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.09346.md)].
- Fastformer: Additive Attention Can Be All You Need - [[2108.09084](https://arxiv.org/abs/2108.09084)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.09084.md)].
- A good body is all you need: avoiding catastrophic interference via   agent architecture search - [[2108.08398](https://arxiv.org/abs/2108.08398)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.08398.md)].
- On the Opportunities and Risks of Foundation Models - [[2108.07258](https://arxiv.org/abs/2108.07258)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.07258.md)].
- MMChat: Multi-Modal Chat Dataset on Social Media - [[2108.07154](https://arxiv.org/abs/2108.07154)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.07154.md)].
- FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated   Learning - [[2108.06098](https://arxiv.org/abs/2108.06098)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.06098.md)].
- PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense   Passage Retrieval - [[2108.06027](https://arxiv.org/abs/2108.06027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.06027.md)].
- Logit Attenuating Weight Normalization - [[2108.05839](https://arxiv.org/abs/2108.05839)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.05839.md)].
- Unsupervised Corpus Aware Language Model Pre-training for Dense Passage   Retrieval - [[2108.05540](https://arxiv.org/abs/2108.05540)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.05540.md)].
- Are Neural Ranking Models Robust? - [[2108.05018](https://arxiv.org/abs/2108.05018)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.05018.md)].
- Rethinking Architecture Selection in Differentiable NAS - [[2108.04392](https://arxiv.org/abs/2108.04392)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.04392.md)].
- Pose is all you need: The pose only group activity recognition system   (POGARS) - [[2108.04186](https://arxiv.org/abs/2108.04186)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.04186.md)].
- BIGRoC: Boosting Image Generation via a Robust Classifier - [[2108.03702](https://arxiv.org/abs/2108.03702)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.03702.md)].
- Source-Free Domain Adaptation for Image Segmentation - [[2108.03152](https://arxiv.org/abs/2108.03152)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.03152.md)].
- Improving Contrastive Learning by Visualizing Feature Transformation - [[2108.02982](https://arxiv.org/abs/2108.02982)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.02982.md)].
- Internal Video Inpainting by Implicit Long-range Propagation - [[2108.01912](https://arxiv.org/abs/2108.01912)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.01912.md)].
- Model-Based Opponent Modeling - [[2108.01843](https://arxiv.org/abs/2108.01843)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.01843.md)].
- Offline Decentralized Multi-Agent Reinforcement Learning - [[2108.01832](https://arxiv.org/abs/2108.01832)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.01832.md)].
- SphereFace2: Binary Classification is All You Need for Deep Face   Recognition - [[2108.01513](https://arxiv.org/abs/2108.01513)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.01513.md)].
- How to Evaluate Your Dialogue Models: A Review of Approaches - [[2108.01369](https://arxiv.org/abs/2108.01369)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.01369.md)].
- SDEdit: Guided Image Synthesis and Editing with Stochastic Differential   Equations - [[2108.01073](https://arxiv.org/abs/2108.01073)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.01073.md)].
- Evaluating Deep Graph Neural Networks - [[2108.00955](https://arxiv.org/abs/2108.00955)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.00955.md)].
- Jointly Optimizing Query Encoder and Product Quantization to Improve   Retrieval Performance - [[2108.00644](https://arxiv.org/abs/2108.00644)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2108.00644.md)].

### July 2021
- Imbalanced Adversarial Training with Reweighting - [[2107.13639](https://arxiv.org/abs/2107.13639)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.13639.md)].
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods   in Natural Language Processing - [[2107.13586](https://arxiv.org/abs/2107.13586)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.13586.md)].
- Functorial String Diagrams for Reverse-Mode Automatic Differentiation - [[2107.13433](https://arxiv.org/abs/2107.13433)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.13433.md)].
- Unsupervised Learning of Neurosymbolic Encoders - [[2107.13132](https://arxiv.org/abs/2107.13132)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.13132.md)].
- Joint Shapley values: a measure of joint feature importance - [[2107.11357](https://arxiv.org/abs/2107.11357)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.11357.md)].
- Few Shots Are All You Need: A Progressive Few Shot Learning Approach for   Low Resource Handwritten Text Recognition - [[2107.10064](https://arxiv.org/abs/2107.10064)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.10064.md)].
- Conditional GANs with Auxiliary Discriminative Classifier - [[2107.10060](https://arxiv.org/abs/2107.10060)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.10060.md)].
- Guided Generation of Cause and Effect - [[2107.09846](https://arxiv.org/abs/2107.09846)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.09846.md)].
- QVHighlights: Detecting Moments and Highlights in Videos via Natural   Language Queries - [[2107.09609](https://arxiv.org/abs/2107.09609)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.09609.md)].
- Structured Stochastic Gradient MCMC - [[2107.09028](https://arxiv.org/abs/2107.09028)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.09028.md)].
- Is attention to bounding boxes all you need for pedestrian action   prediction? - [[2107.08031](https://arxiv.org/abs/2107.08031)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.08031.md)].
- DNN is not all you need: Parallelizing Non-Neural ML Algorithms on   Ultra-Low-Power IoT Processors - [[2107.09448](https://arxiv.org/abs/2107.09448)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.09448.md)].
- Align before Fuse: Vision and Language Representation Learning with   Momentum Distillation - [[2107.07651](https://arxiv.org/abs/2107.07651)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.07651.md)].
- FastSHAP: Real-Time Shapley Value Estimation - [[2107.07436](https://arxiv.org/abs/2107.07436)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.07436.md)].
- How Much Can CLIP Benefit Vision-and-Language Tasks? - [[2107.06383](https://arxiv.org/abs/2107.06383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.06383.md)].
- Per-Pixel Classification is Not All You Need for Semantic Segmentation - [[2107.06278](https://arxiv.org/abs/2107.06278)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.06278.md)].
- A Configurable Multilingual Model is All You Need to Recognize All   Languages - [[2107.05876](https://arxiv.org/abs/2107.05876)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.05876.md)].
- SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking - [[2107.05720](https://arxiv.org/abs/2107.05720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.05720.md)].
- Explore and Control with Adversarial Surprise - [[2107.07394](https://arxiv.org/abs/2107.07394)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.07394.md)].
- ViTGAN: Training GANs with Vision Transformers - [[2107.04589](https://arxiv.org/abs/2107.04589)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.04589.md)].
- Hoechst Is All You Need: Lymphocyte Classification with Deep Learning - [[2107.04388](https://arxiv.org/abs/2107.04388)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.04388.md)].
- Towards Robust Active Feature Acquisition - [[2107.04163](https://arxiv.org/abs/2107.04163)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.04163.md)].
- Evaluating Large Language Models Trained on Code - [[2107.03374](https://arxiv.org/abs/2107.03374)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.03374.md)].
- Understanding Intrinsic Robustness Using Label Uncertainty - [[2107.03250](https://arxiv.org/abs/2107.03250)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.03250.md)].
- Neural Contextual Bandits without Regret - [[2107.03144](https://arxiv.org/abs/2107.03144)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.03144.md)].
- Structured Denoising Diffusion Models in Discrete State-Spaces - [[2107.03006](https://arxiv.org/abs/2107.03006)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.03006.md)].
- Depth-supervised NeRF: Fewer Views and Faster Training for Free - [[2107.02791](https://arxiv.org/abs/2107.02791)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.02791.md)].
- VidLanKD: Improving Language Understanding via Video-Distilled Knowledge   Transfer - [[2107.02681](https://arxiv.org/abs/2107.02681)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.02681.md)].
- Rethinking Positional Encoding - [[2107.02561](https://arxiv.org/abs/2107.02561)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.02561.md)].
- When and How to Fool Explainable Models (and Humans) with Adversarial   Examples - [[2107.01943](https://arxiv.org/abs/2107.01943)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.01943.md)].
- Mutation is all you need - [[2107.07343](https://arxiv.org/abs/2107.07343)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.07343.md)].
- Scale Mixtures of Neural Network Gaussian Processes - [[2107.01408](https://arxiv.org/abs/2107.01408)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.01408.md)].
- On the Practicality of Deterministic Epistemic Uncertainty - [[2107.00649](https://arxiv.org/abs/2107.00649)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.00649.md)].
- Exact verification of the strong BSD conjecture for some absolutely   simple abelian surfaces - [[2107.0325](https://arxiv.org/abs/2107.0325)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2107.0325.md)].

### June 2021
- Automatically Select Emotion for Response via Personality-affected   Emotion Transition - [[2106.15846](https://arxiv.org/abs/2106.15846)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.15846.md)].
- Local Reweighting for Adversarial Training - [[2106.15776](https://arxiv.org/abs/2106.15776)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.15776.md)].
- Don't Take It Literally: An Edit-Invariant Sequence Loss for Text   Generation - [[2106.15078](https://arxiv.org/abs/2106.15078)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.15078.md)].
- Multimodal Few-Shot Learning with Frozen Language Models - [[2106.13884](https://arxiv.org/abs/2106.13884)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.13884.md)].
- Animatable Neural Radiance Fields from Monocular RGB Videos - [[2106.13629](https://arxiv.org/abs/2106.13629)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.13629.md)].
- DCoM: A Deep Column Mapper for Semantic Data Type Detection - [[2106.12871](https://arxiv.org/abs/2106.12871)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.12871.md)].
- All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection - [[2106.12720](https://arxiv.org/abs/2106.12720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.12720.md)].
- IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision   Transformers - [[2106.12620](https://arxiv.org/abs/2106.12620)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.12620.md)].
- Learning Multimodal VAEs through Mutual Supervision - [[2106.12570](https://arxiv.org/abs/2106.12570)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.12570.md)].
- Sampling with Mirrored Stein Operators - [[2106.12506](https://arxiv.org/abs/2106.12506)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.12506.md)].
- Adapting Off-the-Shelf Source Segmenter for Target Medical Image   Segmentation - [[2106.12497](https://arxiv.org/abs/2106.12497)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.12497.md)].
- CharacterChat: Supporting the Creation of Fictional Characters through   Conversation and Progressive Manifestation with a Chatbot - [[2106.12314](https://arxiv.org/abs/2106.12314)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.12314.md)].
- Secure Domain Adaptation with Multiple Sources - [[2106.12124](https://arxiv.org/abs/2106.12124)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.12124.md)].
- Volume Rendering of Neural Implicit Surfaces - [[2106.12052](https://arxiv.org/abs/2106.12052)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.12052.md)].
- Policy Smoothing for Provably Robust Reinforcement Learning - [[2106.11420](https://arxiv.org/abs/2106.11420)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.11420.md)].
- Towards Long-Form Video Understanding - [[2106.11310](https://arxiv.org/abs/2106.11310)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.11310.md)].
- Boundary Graph Neural Networks for 3D Simulations - [[2106.11299](https://arxiv.org/abs/2106.11299)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.11299.md)].
- Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval - [[2106.11251](https://arxiv.org/abs/2106.11251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.11251.md)].
- CLIP2Video: Mastering Video-Text Retrieval via Image CLIP - [[2106.11097](https://arxiv.org/abs/2106.11097)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.11097.md)].
- Analytically Tractable Bayesian Deep Q-Learning - [[2106.11086](https://arxiv.org/abs/2106.11086)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.11086.md)].
- NeuS: Learning Neural Implicit Surfaces by Volume Rendering for   Multi-view Reconstruction - [[2106.10689](https://arxiv.org/abs/2106.10689)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.10689.md)].
- Shuffle Private Stochastic Convex Optimization - [[2106.09805](https://arxiv.org/abs/2106.09805)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.09805.md)].
- On Invariance Penalties for Risk Minimization - [[2106.09777](https://arxiv.org/abs/2106.09777)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.09777.md)].
- Visual Correspondence Hallucination - [[2106.09711](https://arxiv.org/abs/2106.09711)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.09711.md)].
- Poisoning and Backdooring Contrastive Learning - [[2106.09667](https://arxiv.org/abs/2106.09667)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.09667.md)].
- Robust Model-based Face Reconstruction through Weakly-Supervised Outlier   Segmentation - [[2106.09614](https://arxiv.org/abs/2106.09614)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.09614.md)].
- Revisiting the Weaknesses of Reinforcement Learning for Neural Machine   Translation - [[2106.08942](https://arxiv.org/abs/2106.08942)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.08942.md)].
- Transductive Few-Shot Learning: Clustering is All You Need? - [[2106.09516](https://arxiv.org/abs/2106.09516)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.09516.md)].
- Unsupervised Enrichment of Persona-grounded Dialog with Background   Stories - [[2106.08364](https://arxiv.org/abs/2106.08364)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.08364.md)].
- Query Embedding on Hyper-relational Knowledge Graphs - [[2106.08166](https://arxiv.org/abs/2106.08166)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.08166.md)].
- UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram   Discriminators for High-Fidelity Waveform Generation - [[2106.07889](https://arxiv.org/abs/2106.07889)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.07889.md)].
- HuBERT: Self-Supervised Speech Representation Learning by Masked   Prediction of Hidden Units - [[2106.07447](https://arxiv.org/abs/2106.07447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.07447.md)].
- Constraining Linear-chain CRFs to Regular Languages - [[2106.07306](https://arxiv.org/abs/2106.07306)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.07306.md)].
- Pre-Trained Models: Past, Present and Future - [[2106.07139](https://arxiv.org/abs/2106.07139)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.07139.md)].
- Category Theory in Machine Learning - [[2106.07032](https://arxiv.org/abs/2106.07032)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.07032.md)].
- Inverting Adversarially Robust Networks for Image Synthesis - [[2106.06927](https://arxiv.org/abs/2106.06927)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.06927.md)].
- Prompting Contrastive Explanations for Commonsense Reasoning Tasks - [[2106.06823](https://arxiv.org/abs/2106.06823)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.06823.md)].
- Learning to Pool in Graph Neural Networks for Extrapolation - [[2106.06210](https://arxiv.org/abs/2106.06210)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.06210.md)].
- Is Homophily a Necessity for Graph Neural Networks? - [[2106.06134](https://arxiv.org/abs/2106.06134)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.06134.md)].
- Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language   Generation - [[2106.06125](https://arxiv.org/abs/2106.06125)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.06125.md)].
- Fair Normalizing Flows - [[2106.05937](https://arxiv.org/abs/2106.05937)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.05937.md)].
- A Neural Tangent Kernel Perspective of GANs - [[2106.05566](https://arxiv.org/abs/2106.05566)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.05566.md)].
- Knowledge distillation: A good teacher is patient and consistent - [[2106.05237](https://arxiv.org/abs/2106.05237)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.05237.md)].
- Do Transformers Really Perform Bad for Graph Representation? - [[2106.05234](https://arxiv.org/abs/2106.05234)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.05234.md)].
- DIGRAC: Digraph Clustering Based on Flow Imbalance - [[2106.05194](https://arxiv.org/abs/2106.05194)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.05194.md)].
- Pretrained Encoders are All You Need - [[2106.05139](https://arxiv.org/abs/2106.05139)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.05139.md)].
- It Takes Two to Tango: Mixup for Deep Metric Learning - [[2106.04990](https://arxiv.org/abs/2106.04990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.04990.md)].
- Taxonomy of Machine Learning Safety: A Survey and Primer - [[2106.04823](https://arxiv.org/abs/2106.04823)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.04823.md)].
- Mean-Shifted Contrastive Loss for Anomaly Detection - [[2106.03844](https://arxiv.org/abs/2106.03844)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.03844.md)].
- RegMix: Data Mixing Augmentation for Regression - [[2106.03374](https://arxiv.org/abs/2106.03374)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.03374.md)].
- Tabular Data: Deep Learning is Not All You Need - [[2106.03253](https://arxiv.org/abs/2106.03253)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.03253.md)].
- Self-Supervision is All You Need for Solving Rubik's Cube - [[2106.03157](https://arxiv.org/abs/2106.03157)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.03157.md)].
- Model Zoo: A Growing "Brain" That Learns Continually - [[2106.03027](https://arxiv.org/abs/2106.03027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.03027.md)].
- Context-Aware Sparse Deep Coordination Graphs - [[2106.02886](https://arxiv.org/abs/2106.02886)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.02886.md)].
- Learning Curves for SGD on Structured Features - [[2106.02713](https://arxiv.org/abs/2106.02713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.02713.md)].
- Meta-Learning with Fewer Tasks through Task Interpolation - [[2106.02695](https://arxiv.org/abs/2106.02695)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.02695.md)].
- Churn Reduction via Distillation - [[2106.02654](https://arxiv.org/abs/2106.02654)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.02654.md)].
- MERLOT: Multimodal Neural Script Knowledge Models - [[2106.02636](https://arxiv.org/abs/2106.02636)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.02636.md)].
- Conversations Are Not Flat: Modeling the Dynamic Information Flow across   Dialogue Utterances - [[2106.02227](https://arxiv.org/abs/2106.02227)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.02227.md)].
- Three Sentences Are All You Need: Local Path Enhanced Document Relation   Extraction - [[2106.01793](https://arxiv.org/abs/2106.01793)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.01793.md)].
- Convergent Graph Solvers - [[2106.01680](https://arxiv.org/abs/2106.01680)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.01680.md)].
- Self-Guided Contrastive Learning for BERT Sentence Representations - [[2106.07345](https://arxiv.org/abs/2106.07345)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.07345.md)].
- Steerable 3D Spherical Neurons - [[2106.13863](https://arxiv.org/abs/2106.13863)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.13863.md)].
- Tight High Probability Bounds for Linear Stochastic Approximation with   Fixed Stepsize - [[2106.1257](https://arxiv.org/abs/2106.1257)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.1257.md)].
- Evidential Turing Processes - [[2106.01216](https://arxiv.org/abs/2106.01216)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.01216.md)].
- Towards Emotional Support Dialog Systems - [[2106.01144](https://arxiv.org/abs/2106.01144)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.01144.md)].
- Transition-Based Constrained DFT for the Robust and Reliable Treatment   of Excitations in Supramolecular Systems - [[2106.1142](https://arxiv.org/abs/2106.1142)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.1142.md)].
- Multiresolution Equivariant Graph Variational Autoencoder - [[2106.00967](https://arxiv.org/abs/2106.00967)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.00967.md)].
- RevCore: Review-augmented Conversational Recommendation - [[2106.00957](https://arxiv.org/abs/2106.00957)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.00957.md)].
- DialoGraph: Incorporating Interpretable Strategy-Graph Networks into   Negotiation Dialogues - [[2106.00920](https://arxiv.org/abs/2106.00920)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.00920.md)].
- Efficient Passage Retrieval with Hashing for Open-domain Question   Answering - [[2106.00882](https://arxiv.org/abs/2106.00882)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.00882.md)].
- Weighting vectors for machine learning: numerical harmonic analysis   applied to boundary detection - [[2106.00827](https://arxiv.org/abs/2106.00827)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.00827.md)].
- DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text   Generation - [[2106.00791](https://arxiv.org/abs/2106.00791)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.00791.md)].
- Towards Quantifiable Dialogue Coherence Evaluation - [[2106.00507](https://arxiv.org/abs/2106.00507)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.00507.md)].
- Concurrent Adversarial Learning for Large-Batch Training - [[2106.00221](https://arxiv.org/abs/2106.00221)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.00221.md)].
- Rethinking Pseudo Labels for Semi-Supervised Object Detection - [[2106.0168](https://arxiv.org/abs/2106.0168)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2106.0168.md)].

### May 2021
- Efficient and Modular Implicit Differentiation - [[2105.15183](https://arxiv.org/abs/2105.15183)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.15183.md)].
- Memory-Efficient Differentiable Transformer Architecture Search - [[2105.14669](https://arxiv.org/abs/2105.14669)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.14669.md)].
- How Attentive are Graph Attention Networks? - [[2105.14491](https://arxiv.org/abs/2105.14491)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.14491.md)].
- An Attention Free Transformer - [[2105.14103](https://arxiv.org/abs/2105.14103)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.14103.md)].
- Gotta Go Fast When Generating Data with Score-Based Models - [[2105.14080](https://arxiv.org/abs/2105.14080)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.14080.md)].
- Simple steps are all you need: Frank-Wolfe and generalized   self-concordant functions - [[2105.13913](https://arxiv.org/abs/2105.13913)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.13913.md)].
- OTTers: One-turn Topic Transitions for Open-Domain Dialogue - [[2105.13710](https://arxiv.org/abs/2105.13710)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.13710.md)].
- Data Augmentation for Text Generation Without Any Augmented Data - [[2105.13650](https://arxiv.org/abs/2105.13650)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.13650.md)].
- Pre-trained Language Model based Ranking in Baidu Search - [[2105.11108](https://arxiv.org/abs/2105.11108)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.11108.md)].
- Unsupervised Speech Recognition - [[2105.11084](https://arxiv.org/abs/2105.11084)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.11084.md)].
- DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient   Hyperparameter Optimization - [[2105.09821](https://arxiv.org/abs/2105.09821)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.09821.md)].
- Intra-Document Cascading: Learning to Select Passages for Neural   Document Ranking - [[2105.09816](https://arxiv.org/abs/2105.09816)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.09816.md)].
- Unified Conversational Recommendation Policy Learning via Graph-based   Reinforcement Learning - [[2105.09710](https://arxiv.org/abs/2105.09710)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.09710.md)].
- Value Function is All You Need: A Unified Learning Framework for Ride   Hailing Platforms - [[2105.08791](https://arxiv.org/abs/2105.08791)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.08791.md)].
- KECRS: Towards Knowledge-Enriched Conversational Recommendation System - [[2105.08261](https://arxiv.org/abs/2105.08261)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.08261.md)].
- ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All   You Need For Audio Generation - [[2105.07583](https://arxiv.org/abs/2105.07583)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.07583.md)].
- RetGen: A Joint framework for Retrieval and Grounded Text Generation   Modeling - [[2105.06597](https://arxiv.org/abs/2105.06597)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.06597.md)].
- HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge   Management - [[2105.06041](https://arxiv.org/abs/2105.06041)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.06041.md)].
- Looking at CTR Prediction Again: Is Attention All You Need? - [[2105.05563](https://arxiv.org/abs/2105.05563)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.05563.md)].
- The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video   Inpainting - [[2105.05332](https://arxiv.org/abs/2105.05332)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.05332.md)].
- Diffusion Models Beat GANs on Image Synthesis - [[2105.05233](https://arxiv.org/abs/2105.05233)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.05233.md)].
- VICReg: Variance-Invariance-Covariance Regularization for   Self-Supervised Learning - [[2105.04906](https://arxiv.org/abs/2105.04906)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.04906.md)].
- EL-Attention: Memory Efficient Lossless Attention for Generation - [[2105.04779](https://arxiv.org/abs/2105.04779)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.04779.md)].
- Not All Relevance Scores are Equal: Efficient Uncertainty and   Calibration Modeling for Deep Retrieval Models - [[2105.04651](https://arxiv.org/abs/2105.04651)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.04651.md)].
- Recent Advances in Deep Learning Based Dialogue Systems: A Systematic   Survey - [[2105.04387](https://arxiv.org/abs/2105.04387)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.04387.md)].
- Joint Learning of Deep Retrieval Model and Product Quantization based   Embedding Index - [[2105.03933](https://arxiv.org/abs/2105.03933)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.03933.md)].
- Simulating User Satisfaction for the Evaluation of Task-oriented   Dialogue Systems - [[2105.03748](https://arxiv.org/abs/2105.03748)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.03748.md)].
- Improving Document Representations by Generating Pseudo Query Embeddings   for Dense Retrieval - [[2105.03599](https://arxiv.org/abs/2105.03599)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.03599.md)].
- A Survey of Data Augmentation Approaches for NLP - [[2105.03075](https://arxiv.org/abs/2105.03075)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.03075.md)].
- Rethinking Search: Making Domain Experts out of Dilettantes - [[2105.02274](https://arxiv.org/abs/2105.02274)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.02274.md)].
- PD-GAN: Probabilistic Diverse GAN for Image Inpainting - [[2105.02201](https://arxiv.org/abs/2105.02201)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.02201.md)].
- Unsteady and inertial dynamics of an active particle in a fluid - [[2105.1408](https://arxiv.org/abs/2105.1408)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.1408.md)].
- Unsupervised Document Expansion for Information Retrieval with   Stochastic Text Generation - [[2105.00666](https://arxiv.org/abs/2105.00666)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2105.00666.md)].

### April 2021
- Emerging Properties in Self-Supervised Vision Transformers - [[2104.14294](https://arxiv.org/abs/2104.14294)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.14294.md)].
- Open-vocabulary Object Detection via Vision and Language Knowledge   Distillation - [[2104.13921](https://arxiv.org/abs/2104.13921)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.13921.md)].
- If your data distribution shifts, use self-learning - [[2104.12928](https://arxiv.org/abs/2104.12928)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.12928.md)].
- Multimodal Clustering Networks for Self-supervised Learning from   Unlabeled Videos - [[2104.12671](https://arxiv.org/abs/2104.12671)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.12671.md)].
- Easy and Efficient Transformer : Scalable Inference Solution For large   NLP model - [[2104.12470](https://arxiv.org/abs/2104.12470)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.12470.md)].
- GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video   Summarization - [[2104.12465](https://arxiv.org/abs/2104.12465)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.12465.md)].
- PanGu-$α$: Large-scale Autoregressive Pretrained Chinese Language   Models with Auto-parallel Computation - [[2104.12369](https://arxiv.org/abs/2104.12369)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.12369.md)].
- Learning Passage Impacts for Inverted Indexes - [[2104.12016](https://arxiv.org/abs/2104.12016)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.12016.md)].
- UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for   Multi-View Reconstruction - [[2104.10078](https://arxiv.org/abs/2104.10078)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.10078.md)].
- Gradient Matching for Domain Generalization - [[2104.09937](https://arxiv.org/abs/2104.09937)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.09937.md)].
- B-PROP: Bootstrapped Pre-training with Representative Words Prediction   for Ad-hoc Retrieval - [[2104.09791](https://arxiv.org/abs/2104.09791)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.09791.md)].
- Image Inpainting with External-internal Learning and Monochromic   Bottleneck - [[2104.09068](https://arxiv.org/abs/2104.09068)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.09068.md)].
- Cross-Attention is All You Need: Adapting Pretrained Transformers for   Machine Translation - [[2104.08771](https://arxiv.org/abs/2104.08771)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.08771.md)].
- The Power of Scale for Parameter-Efficient Prompt Tuning - [[2104.08691](https://arxiv.org/abs/2104.08691)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.08691.md)].
- Explaining Answers with Entailment Trees - [[2104.08661](https://arxiv.org/abs/2104.08661)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.08661.md)].
- Condenser: a Pre-training Architecture for Dense Retrieval - [[2104.08253](https://arxiv.org/abs/2104.08253)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.08253.md)].
- $Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues   via Question Generation and Question Answering - [[2104.08202](https://arxiv.org/abs/2104.08202)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.08202.md)].
- Optimizing Dense Retrieval Model Training with Hard Negatives - [[2104.08051](https://arxiv.org/abs/2104.08051)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.08051.md)].
- Matching-oriented Product Quantization For Ad-hoc Retrieval - [[2104.07858](https://arxiv.org/abs/2104.07858)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.07858.md)].
- Ultra-High Dimensional Sparse Representations with Binarization for   Efficient Text Retrieval - [[2104.07198](https://arxiv.org/abs/2104.07198)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.07198.md)].
- COIL: Revisit Exact Lexical Match in Information Retrieval with   Contextualized Inverted List - [[2104.07186](https://arxiv.org/abs/2104.07186)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.07186.md)].
- Sparse Attention with Linear Units - [[2104.07012](https://arxiv.org/abs/2104.07012)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.07012.md)].
- Efficiently Teaching an Effective Dense Retriever with Balanced Topic   Aware Sampling - [[2104.06967](https://arxiv.org/abs/2104.06967)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.06967.md)].
- Is Disentanglement all you need? Comparing Concept-based &amp;   Disentanglement Approaches - [[2104.06917](https://arxiv.org/abs/2104.06917)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.06917.md)].
- Learning How to Ask: Querying LMs with Mixtures of Soft Prompts - [[2104.06599](https://arxiv.org/abs/2104.06599)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.06599.md)].
- All you need are a few pixels: semantic segmentation with PixelPick - [[2104.06394](https://arxiv.org/abs/2104.06394)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.06394.md)].
- Spatiotemporal Entropy Model is All You Need for Learned Video   Compression - [[2104.06083](https://arxiv.org/abs/2104.06083)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.06083.md)].
- Not All Attention Is All You Need - [[2104.04692](https://arxiv.org/abs/2104.04692)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.04692.md)].
- Progressive Temporal Feature Alignment Network for Video Inpainting - [[2104.03507](https://arxiv.org/abs/2104.03507)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.03507.md)].
- SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model - [[2104.05557](https://arxiv.org/abs/2104.05557)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.05557.md)].
- Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised   Pre-Training - [[2104.01027](https://arxiv.org/abs/2104.01027)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.01027.md)].
- Visual Semantic Role Labeling for Video Understanding - [[2104.00990](https://arxiv.org/abs/2104.00990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.00990.md)].
- Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval - [[2104.00650](https://arxiv.org/abs/2104.00650)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.00650.md)].
- NeRF-VAE: A Geometry Aware 3D Scene Generative Model - [[2104.00587](https://arxiv.org/abs/2104.00587)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.00587.md)].
- Improved Image Generation via Sparse Modeling - [[2104.00464](https://arxiv.org/abs/2104.00464)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.00464.md)].
- Jigsaw Clustering for Unsupervised Visual Representation Learning - [[2104.00323](https://arxiv.org/abs/2104.00323)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.00323.md)].
- Domain Invariant Adversarial Learning - [[2104.00322](https://arxiv.org/abs/2104.00322)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2104.00322.md)].

### March 2021
- CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields - [[2103.17269](https://arxiv.org/abs/2103.17269)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.17269.md)].
- Contrastive Embedding for Generalized Zero-Shot Learning - [[2103.16173](https://arxiv.org/abs/2103.16173)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.16173.md)].
- AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning - [[2103.16002](https://arxiv.org/abs/2103.16002)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.16002.md)].
- TransFill: Reference-guided Image Inpainting by Merging Multiple Color   and Spatial Transformations - [[2103.15982](https://arxiv.org/abs/2103.15982)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.15982.md)].
- Generic Attention-model Explainability for Interpreting Bi-Modal and   Encoder-Decoder Transformers - [[2103.15679](https://arxiv.org/abs/2103.15679)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.15679.md)].
- GNeRF: GAN-based Neural Radiance Field without Posed Camera - [[2103.15606](https://arxiv.org/abs/2103.15606)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.15606.md)].
- Efficient Explanations from Empirical Explainers - [[2103.15429](https://arxiv.org/abs/2103.15429)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.15429.md)].
- Categorical Representation Learning: Morphism is All You Need - [[2103.14770](https://arxiv.org/abs/2103.14770)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.14770.md)].
- More Photos are All You Need: Semi-Supervised Learning for Fine-Grained   Sketch Based Image Retrieval - [[2103.13990](https://arxiv.org/abs/2103.13990)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.13990.md)].
- KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs - [[2103.13744](https://arxiv.org/abs/2103.13744)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.13744.md)].
- DNN Quantization with Attention - [[2103.13322](https://arxiv.org/abs/2103.13322)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.13322.md)].
- FastMoE: A Fast Mixture-of-Expert Training System - [[2103.13262](https://arxiv.org/abs/2103.13262)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.13262.md)].
- Interpretable Machine Learning: Fundamental Principles and 10 Grand   Challenges - [[2103.11251](https://arxiv.org/abs/2103.11251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.11251.md)].
- Concentric Spherical GNN for 3D Representation Learning - [[2103.10484](https://arxiv.org/abs/2103.10484)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.10484.md)].
- FastNeRF: High-Fidelity Neural Rendering at 200FPS - [[2103.10380](https://arxiv.org/abs/2103.10380)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.10380.md)].
- GLM: General Language Model Pretraining with Autoregressive Blank   Infilling - [[2103.10360](https://arxiv.org/abs/2103.10360)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.10360.md)].
- Generating Diverse Structure for Image Inpainting With Hierarchical   VQ-VAE - [[2103.10022](https://arxiv.org/abs/2103.10022)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.10022.md)].
- ENCONTER: Entity Constrained Progressive Sequence Generation via   Insertion-based Transformer - [[2103.09548](https://arxiv.org/abs/2103.09548)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.09548.md)].
- BYOL for Audio: Self-Supervised Learning for General-Purpose Audio   Representation - [[2103.06695](https://arxiv.org/abs/2103.06695)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.06695.md)].
- Partial Differential Equations is All You Need for Generating Neural   Architectures -- A Theory for Physical Artificial Intelligence Systems - [[2103.08313](https://arxiv.org/abs/2103.08313)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.08313.md)].
- GAN Vocoder: Multi-Resolution Discriminator Is All You Need - [[2103.05236](https://arxiv.org/abs/2103.05236)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.05236.md)].
- Semantic Models for the First-stage Retrieval: A Comprehensive Review - [[2103.04831](https://arxiv.org/abs/2103.04831)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.04831.md)].
- Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream   Data? A Theoretical Analysis - [[2103.03568](https://arxiv.org/abs/2103.03568)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.03568.md)].
- Attention is Not All You Need: Pure Attention Loses Rank Doubly   Exponentially with Depth - [[2103.03404](https://arxiv.org/abs/2103.03404)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.03404.md)].
- Barlow Twins: Self-Supervised Learning via Redundancy Reduction - [[2103.03230](https://arxiv.org/abs/2103.03230)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.03230.md)].
- Online Adversarial Attacks - [[2103.02014](https://arxiv.org/abs/2103.02014)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.02014.md)].
- Mixture of Volumetric Primitives for Efficient Neural Rendering - [[2103.01954](https://arxiv.org/abs/2103.01954)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.01954.md)].
- Categorical Foundations of Gradient-Based Learning - [[2103.01931](https://arxiv.org/abs/2103.01931)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.01931.md)].
- Learners' Languages - [[2103.01189](https://arxiv.org/abs/2103.01189)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.01189.md)].
- Automated Machine Learning on Graphs: A Survey - [[2103.00742](https://arxiv.org/abs/2103.00742)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.00742.md)].

### February 2021
- Learning Transferable Visual Models From Natural Language Supervision - [[2103.00020](https://arxiv.org/abs/2103.00020)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2103.00020.md)].
- Node Proximity Is All You Need: Unified Structural and Positional Node   and Graph Embedding - [[2102.13582](https://arxiv.org/abs/2102.13582)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.13582.md)].
- Do Input Gradients Highlight Discriminative Features? - [[2102.12781](https://arxiv.org/abs/2102.12781)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.12781.md)].
- Teach Me to Explain: A Review of Datasets for Explainable Natural   Language Processing - [[2102.12060](https://arxiv.org/abs/2102.12060)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.12060.md)].
- Deep ReLU Networks Preserve Expected Length - [[2102.10492](https://arxiv.org/abs/2102.10492)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.10492.md)].
- Meta-Learning Dynamics Forecasting Using Task Inference - [[2102.10271](https://arxiv.org/abs/2102.10271)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.10271.md)].
- Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using   a Weak Decoder - [[2102.09206](https://arxiv.org/abs/2102.09206)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.09206.md)].
- ShaRF: Shape-conditioned Radiance Fields from a Single View - [[2102.08860](https://arxiv.org/abs/2102.08860)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.08860.md)].
- DEUP: Direct Epistemic Uncertainty Prediction - [[2102.08501](https://arxiv.org/abs/2102.08501)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.08501.md)].
- All You Need is DAG - [[2102.08325](https://arxiv.org/abs/2102.08325)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.08325.md)].
- Topological Graph Neural Networks - [[2102.07835](https://arxiv.org/abs/2102.07835)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.07835.md)].
- Is Space-Time Attention All You Need for Video Understanding? - [[2102.05095](https://arxiv.org/abs/2102.05095)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.05095.md)].
- Contrastive Embeddings for Neural Architectures - [[2102.04208](https://arxiv.org/abs/2102.04208)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.04208.md)].
- Hyperspherical embedding for novel class classification - [[2102.03243](https://arxiv.org/abs/2102.03243)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.03243.md)].
- Unifying Vision-and-Language Tasks via Text Generation - [[2102.02779](https://arxiv.org/abs/2102.02779)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.02779.md)].
- Learning Graph Embeddings for Compositional Zero-shot Learning - [[2102.01987](https://arxiv.org/abs/2102.01987)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2102.01987.md)].

### January 2021
- VX2TEXT: End-to-End Learning of Video-Based Text Generation From   Multimodal Inputs - [[2101.12059](https://arxiv.org/abs/2101.12059)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.12059.md)].
- Compositional Semantics for Probabilistic Programs with Exact   Conditioning - [[2101.11351](https://arxiv.org/abs/2101.11351)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.11351.md)].
- RESPER: Computationally Modelling Resisting Strategies in Persuasive   Conversations - [[2101.10545](https://arxiv.org/abs/2101.10545)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.10545.md)].
- Reverse Derivative Ascent: A Categorical Approach to Learning Boolean   Circuits - [[2101.10488](https://arxiv.org/abs/2101.10488)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.10488.md)].
- Advances and Challenges in Conversational Recommender Systems: A Survey - [[2101.09459](https://arxiv.org/abs/2101.09459)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.09459.md)].
- A Comprehensive Survey on Hardware-Aware Neural Architecture Search - [[2101.09336](https://arxiv.org/abs/2101.09336)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.09336.md)].
- Higher Order Automatic Differentiation of Higher Order Functions - [[2101.06757](https://arxiv.org/abs/2101.06757)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.06757.md)].
- The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained   Sequence-to-Sequence Models - [[2101.05667](https://arxiv.org/abs/2101.05667)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.05667.md)].
- Evaluating Disentanglement of Structured Representations - [[2101.04041](https://arxiv.org/abs/2101.04041)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.04041.md)].
- Switch Transformers: Scaling to Trillion Parameter Models with Simple   and Efficient Sparsity - [[2101.03961](https://arxiv.org/abs/2101.03961)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.03961.md)].
- Evolving Reinforcement Learning Algorithms - [[2101.03958](https://arxiv.org/abs/2101.03958)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.03958.md)].
- Max-Affine Spline Insights Into Deep Network Pruning - [[2101.02338](https://arxiv.org/abs/2101.02338)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.02338.md)].
- VinVL: Revisiting Visual Representations in Vision-Language Models - [[2101.00529](https://arxiv.org/abs/2101.00529)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.00529.md)].
- Prefix-Tuning: Optimizing Continuous Prompts for Generation - [[2101.00190](https://arxiv.org/abs/2101.00190)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.00190.md)].
- Multi-task Retrieval for Knowledge-Intensive Tasks - [[2101.00117](https://arxiv.org/abs/2101.00117)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.00117.md)].
</div></details>
<details open><summary><strong>2020</strong></summary><div>

### December 2020
- Directed Beam Search: Plug-and-Play Lexically Constrained Language   Generation - [[2012.15416](https://arxiv.org/abs/2012.15416)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.15416.md)].
- Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion   Dialogues via Reinforcement Learning and Human Demonstration - [[2012.15375](https://arxiv.org/abs/2012.15375)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.15375.md)].
- A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via   Adversarial Fine-tuning - [[2012.13628](https://arxiv.org/abs/2012.13628)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.13628.md)].
- Evolution Is All You Need: Phylogenetic Augmentation for Contrastive   Learning - [[2012.13475](https://arxiv.org/abs/2012.13475)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.13475.md)].
- ProofWriter: Generating Implications, Proofs, and Abductive Statements   over Natural Language - [[2012.13048](https://arxiv.org/abs/2012.13048)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.13048.md)].
- Learning Dense Representations of Phrases at Scale - [[2012.12624](https://arxiv.org/abs/2012.12624)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.12624.md)].
- A Distributional Approach to Controlled Text Generation - [[2012.11635](https://arxiv.org/abs/2012.11635)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.11635.md)].
- OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning - [[2012.11552](https://arxiv.org/abs/2012.11552)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.11552.md)].
- Transformer Interpretability Beyond Attention Visualization - [[2012.09838](https://arxiv.org/abs/2012.09838)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.09838.md)].
- Neural Volume Rendering: NeRF And Beyond - [[2101.05204](https://arxiv.org/abs/2101.05204)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2101.05204.md)].
- Keyword-Guided Neural Conversational Model - [[2012.08383](https://arxiv.org/abs/2012.08383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.08383.md)].
- CARE: Commonsense-Aware Emotional Response Generation with Latent   Concepts - [[2012.08377](https://arxiv.org/abs/2012.08377)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.08377.md)].
- Understanding the Behaviour of Contrastive Loss - [[2012.09740](https://arxiv.org/abs/2012.09740)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.09740.md)].
- Image Inpainting Guided by Coherence Priors of Semantics and Textures - [[2012.08054](https://arxiv.org/abs/2012.08054)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.08054.md)].
- Contrastive Learning with Adversarial Perturbations for Conditional Text   Generation - [[2012.07280](https://arxiv.org/abs/2012.07280)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.07280.md)].
- Differential Evolution for Neural Architecture Search - [[2012.06400](https://arxiv.org/abs/2012.06400)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.06400.md)].
- Few-Shot Segmentation Without Meta-Learning: A Good Transductive   Inference Is All You Need? - [[2012.06166](https://arxiv.org/abs/2012.06166)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.06166.md)].
- Distilling Knowledge from Reader to Retriever for Question Answering - [[2012.04584](https://arxiv.org/abs/2012.04584)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.04584.md)].
- Active Learning: Problem Settings and Recent Developments - [[2012.04225](https://arxiv.org/abs/2012.04225)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.04225.md)].
- Sheaf Neural Networks - [[2012.06333](https://arxiv.org/abs/2012.06333)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.06333.md)].
- Challenging common interpretability assumptions in feature attribution   explanations - [[2012.02748](https://arxiv.org/abs/2012.02748)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.02748.md)].
- Practical No-box Adversarial Attacks against DNNs - [[2012.02525](https://arxiv.org/abs/2012.02525)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.02525.md)].
- RPT: Relational Pre-trained Transformer Is Almost All You Need towards   Democratizing Data Preparation - [[2012.02469](https://arxiv.org/abs/2012.02469)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.02469.md)].
- pixelNeRF: Neural Radiance Fields from One or Few Images - [[2012.02190](https://arxiv.org/abs/2012.02190)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.02190.md)].
- Learned Initializations for Optimizing Coordinate-Based Neural   Representations - [[2012.02189](https://arxiv.org/abs/2012.02189)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.02189.md)].
- Neural Prototype Trees for Interpretable Fine-grained Image Recognition - [[2012.02046](https://arxiv.org/abs/2012.02046)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.02046.md)].
- Just Ask: Learning to Answer Questions from Millions of Narrated Videos - [[2012.00451](https://arxiv.org/abs/2012.00451)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.00451.md)].
- CPM: A Large-scale Generative Chinese Pre-trained Language Model - [[2012.00413](https://arxiv.org/abs/2012.00413)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2012.00413.md)].

### November 2020
- Feature Learning in Infinite-Width Neural Networks - [[2011.14522](https://arxiv.org/abs/2011.14522)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.14522.md)].
- How Well Do Self-Supervised Models Transfer? - [[2011.13377](https://arxiv.org/abs/2011.13377)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.13377.md)].
- Can Temporal Information Help with Contrastive Self-Supervised Learning? - [[2011.13046](https://arxiv.org/abs/2011.13046)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.13046.md)].
- All You Need is a Good Functional Prior for Bayesian Deep Learning - [[2011.12829](https://arxiv.org/abs/2011.12829)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.12829.md)].
- DeRF: Decomposed Radiance Fields - [[2011.12490](https://arxiv.org/abs/2011.12490)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.12490.md)].
- GIRAFFE: Representing Scenes as Compositional Generative Neural Feature   Fields - [[2011.12100](https://arxiv.org/abs/2011.12100)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.12100.md)].
- Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised   Video Representation Learning - [[2011.11261](https://arxiv.org/abs/2011.11261)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.11261.md)].
- ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and   Gradient Accumulation - [[2011.11233](https://arxiv.org/abs/2011.11233)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.11233.md)].
- Exploring Simple Siamese Representation Learning - [[2011.10566](https://arxiv.org/abs/2011.10566)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.10566.md)].
- A Reputation Mechanism Is All You Need: Collaborative Fairness and   Adversarial Robustness in Federated Learning - [[2011.10464](https://arxiv.org/abs/2011.10464)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.10464.md)].
- Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised   Visual Representation Learning - [[2011.10043](https://arxiv.org/abs/2011.10043)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.10043.md)].
- MixMix: All You Need for Data-Free Compression Are Feature and Data   Mixing - [[2011.09899](https://arxiv.org/abs/2011.09899)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.09899.md)].
- Is Independent Learning All You Need in the StarCraft Multi-Agent   Challenge? - [[2011.09533](https://arxiv.org/abs/2011.09533)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.09533.md)].
- Contextual Fusion For Adversarial Robustness - [[2011.09526](https://arxiv.org/abs/2011.09526)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.09526.md)].
- Functorial Manifold Learning - [[2011.07435](https://arxiv.org/abs/2011.07435)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.07435.md)].
- Unsupervised Video Representation Learning by Bidirectional Feature   Prediction - [[2011.06037](https://arxiv.org/abs/2011.06037)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.06037.md)].
- Multimodal Pretraining for Dense Video Captioning - [[2011.11760](https://arxiv.org/abs/2011.11760)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.11760.md)].
- A Broad Dataset is All You Need for One-Shot Object Detection - [[2011.04267](https://arxiv.org/abs/2011.04267)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.04267.md)].
- Feature Removal Is a Unifying Principle for Model Explanation Methods - [[2011.03623](https://arxiv.org/abs/2011.03623)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.03623.md)].
- Language Model is All You Need: Natural Language Understanding as   Question Answering - [[2011.03023](https://arxiv.org/abs/2011.03023)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.03023.md)].
- This Looks Like That, Because ... Explaining Prototypes for   Interpretable Image Recognition - [[2011.02863](https://arxiv.org/abs/2011.02863)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.02863.md)].
- Non-Autoregressive Predictive Coding for Learning Speech Representations   from Local Dependencies - [[2011.00406](https://arxiv.org/abs/2011.00406)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.00406.md)].

### October 2020
- A Survey on Contrastive Self-supervised Learning - [[2011.00362](https://arxiv.org/abs/2011.00362)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.00362.md)].
- Pretext-Contrastive Learning: Toward Good Practices in Self-supervised   Video Representation Leaning - [[2010.15464](https://arxiv.org/abs/2010.15464)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.15464.md)].
- Learning to Actively Learn: A Robust Approach - [[2010.15382](https://arxiv.org/abs/2010.15382)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.15382.md)].
- Cycle-Contrast for Self-Supervised Video Representation Learning - [[2010.14810](https://arxiv.org/abs/2010.14810)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.14810.md)].
- How Does the Task Landscape Affect MAML Performance? - [[2010.14672](https://arxiv.org/abs/2010.14672)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.14672.md)].
- One Solution is Not All You Need: Few-Shot Extrapolation via Structured   MaxEnt RL - [[2010.14484](https://arxiv.org/abs/2010.14484)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.14484.md)].
- RSPNet: Relative Speed Perception for Unsupervised Video Representation   Learning - [[2011.07949](https://arxiv.org/abs/2011.07949)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2011.07949.md)].
- Interpretation of NLP models through input marginalization - [[2010.13984](https://arxiv.org/abs/2010.13984)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.13984.md)].
- Attention is All You Need in Speech Separation - [[2010.13154](https://arxiv.org/abs/2010.13154)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.13154.md)].
- Towards falsifiable interpretability research - [[2010.12016](https://arxiv.org/abs/2010.12016)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.12016.md)].
- The Turking Test: Can Language Models Understand Instructions? - [[2010.11982](https://arxiv.org/abs/2010.11982)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.11982.md)].
- An Image is Worth 16x16 Words: Transformers for Image Recognition at   Scale - [[2010.11929](https://arxiv.org/abs/2010.11929)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.11929.md)].
- Transcription Is All You Need: Learning to Separate Musical Mixtures   with Score as Supervision - [[2010.11904](https://arxiv.org/abs/2010.11904)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.11904.md)].
- Distilling Dense Representations for Ranking using Tightly-Coupled   Teachers - [[2010.11386](https://arxiv.org/abs/2010.11386)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.11386.md)].
- Counterfactual Explanations and Algorithmic Recourses for Machine   Learning: A Review - [[2010.10596](https://arxiv.org/abs/2010.10596)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.10596.md)].
- CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for   Conversational Recommendation - [[2010.10333](https://arxiv.org/abs/2010.10333)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.10333.md)].
- PROP: Pre-training with Representative Words Prediction for Ad-hoc   Retrieval - [[2010.10137](https://arxiv.org/abs/2010.10137)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.10137.md)].
- Improving Dialog Systems for Negotiation with Personality Modeling - [[2010.09954](https://arxiv.org/abs/2010.09954)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.09954.md)].
- Self-supervised Co-training for Video Representation Learning - [[2010.09709](https://arxiv.org/abs/2010.09709)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.09709.md)].
- For self-supervised learning, Rationality implies generalization,   provably - [[2010.08508](https://arxiv.org/abs/2010.08508)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.08508.md)].
- RocketQA: An Optimized Training Approach to Dense Passage Retrieval for   Open-Domain Question Answering - [[2010.08191](https://arxiv.org/abs/2010.08191)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.08191.md)].
- What is More Likely to Happen Next? Video-and-Language Future Event   Prediction - [[2010.07999](https://arxiv.org/abs/2010.07999)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.07999.md)].
- NeRF++: Analyzing and Improving Neural Radiance Fields - [[2010.07492](https://arxiv.org/abs/2010.07492)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.07492.md)].
- Representable Markov Categories and Comparison of Statistical   Experiments in Categorical Probability - [[2010.07416](https://arxiv.org/abs/2010.07416)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.07416.md)].
- Pretrained Transformers for Text Ranking: BERT and Beyond - [[2010.06467](https://arxiv.org/abs/2010.06467)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.06467.md)].
- HiFi-GAN: Generative Adversarial Networks for Efficient and High   Fidelity Speech Synthesis - [[2010.05646](https://arxiv.org/abs/2010.05646)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.05646.md)].
- Fairness-aware Agnostic Federated Learning - [[2010.05057](https://arxiv.org/abs/2010.05057)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.05057.md)].
- Automated Concatenation of Embeddings for Structured Prediction - [[2010.05006](https://arxiv.org/abs/2010.05006)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.05006.md)].
- GRF: Learning a General Radiance Field for 3D Representation and   Rendering - [[2010.04595](https://arxiv.org/abs/2010.04595)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.04595.md)].
- Automatic Backward Filtering Forward Guiding for Markov processes and   graphical models - [[2010.03509](https://arxiv.org/abs/2010.03509)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.03509.md)].
- Unsupervised Representation Learning by InvariancePropagation - [[2010.11694](https://arxiv.org/abs/2010.11694)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.11694.md)].
- Like hiking? You probably enjoy nature: Persona-grounded Dialog with   Commonsense Expansions - [[2010.03205](https://arxiv.org/abs/2010.03205)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.03205.md)].
- Beyond [CLS] through Ranking by Generation - [[2010.03073](https://arxiv.org/abs/2010.03073)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.03073.md)].
- A Transformer-based Framework for Multivariate Time Series   Representation Learning - [[2010.02803](https://arxiv.org/abs/2010.02803)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.02803.md)].
- Improving Efficient Neural Ranking Models with Cross-Architecture   Knowledge Distillation - [[2010.02666](https://arxiv.org/abs/2010.02666)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.02666.md)].
- MIME: MIMicking Emotions for Empathetic Response Generation - [[2010.01454](https://arxiv.org/abs/2010.01454)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.01454.md)].
- Sharpness-Aware Minimization for Efficiently Improving Generalization - [[2010.01412](https://arxiv.org/abs/2010.01412)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.01412.md)].
- All You Need Is CONSTRUCT - [[2010.00843](https://arxiv.org/abs/2010.00843)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.00843.md)].
- SparTerm: Learning Term-based Sparse Representation for Fast Text   Retrieval - [[2010.00768](https://arxiv.org/abs/2010.00768)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.00768.md)].
- Understanding Self-supervised Learning with Dual Deep Networks - [[2010.00578](https://arxiv.org/abs/2010.00578)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2010.00578.md)].

### September 2020
- Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval - [[2009.12756](https://arxiv.org/abs/2009.12756)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.12756.md)].
- Learning to Plan and Realize Separately for Open-Ended Dialogue Systems - [[2009.12506](https://arxiv.org/abs/2009.12506)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.12506.md)].
- From Pixel to Patch: Synthesize Context-aware Features for Zero-shot   Semantic Segmentation - [[2009.12232](https://arxiv.org/abs/2009.12232)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.12232.md)].
- Learned Low Precision Graph Neural Networks - [[2009.09232](https://arxiv.org/abs/2009.09232)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.09232.md)].
- Generation-Augmented Retrieval for Open-domain Question Answering - [[2009.08553](https://arxiv.org/abs/2009.08553)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.08553.md)].
- SelfAugment: Automatic Augmentation Policies for Self-Supervised   Learning - [[2009.07724](https://arxiv.org/abs/2009.07724)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.07724.md)].
- Simplified TinyBERT: Knowledge Distillation for Document Retrieval - [[2009.07531](https://arxiv.org/abs/2009.07531)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.07531.md)].
- BERT-QE: Contextualized Query Expansion for Document Re-ranking - [[2009.07258](https://arxiv.org/abs/2009.07258)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.07258.md)].
- Efficient Transformers: A Survey - [[2009.06732](https://arxiv.org/abs/2009.06732)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.06732.md)].
- Enhancing Unsupervised Video Representation Learning by Decoupling the   Scene and the Motion - [[2009.05757](https://arxiv.org/abs/2009.05757)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.05757.md)].
- Understanding the Role of Individual Units in a Deep Neural Network - [[2009.05041](https://arxiv.org/abs/2009.05041)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.05041.md)].
- Measuring Massive Multitask Language Understanding - [[2009.03300](https://arxiv.org/abs/2009.03300)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.03300.md)].
- Sensors, Safety Models and A System-Level Approach to Safe and Scalable   Automated Vehicles - [[2009.03301](https://arxiv.org/abs/2009.03301)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.03301.md)].
- Sample-Efficient Automated Deep Reinforcement Learning - [[2009.01555](https://arxiv.org/abs/2009.01555)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.01555.md)].
- Learning to summarize from human feedback - [[2009.01325](https://arxiv.org/abs/2009.01325)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.01325.md)].
- WaveGrad: Estimating Gradients for Waveform Generation - [[2009.00713](https://arxiv.org/abs/2009.00713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.00713.md)].
- Neural Architecture Search For Keyword Spotting - [[2009.00165](https://arxiv.org/abs/2009.00165)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.00165.md)].

### August 2020
- Self-supervised Video Representation Learning by Uncovering   Spatio-temporal Statistics - [[2008.13426](https://arxiv.org/abs/2008.13426)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.13426.md)].
- A Survey of Deep Active Learning - [[2009.00236](https://arxiv.org/abs/2009.00236)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2009.00236.md)].
- Against Membership Inference Attack: Pruning is All You Need - [[2008.13578](https://arxiv.org/abs/2008.13578)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.13578.md)].
- A Survey of Evaluation Metrics Used for NLG Systems - [[2008.12009](https://arxiv.org/abs/2008.12009)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.12009.md)].
- Automated Search for Resource-Efficient Branched Multi-Task Networks - [[2008.10292](https://arxiv.org/abs/2008.10292)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.10292.md)].
- Contrastive learning, multi-view redundancy, and linear models - [[2008.10150](https://arxiv.org/abs/2008.10150)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.10150.md)].
- A Lip Sync Expert Is All You Need for Speech to Lip Generation In The   Wild - [[2008.10010](https://arxiv.org/abs/2008.10010)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.10010.md)].
- PARADE: Passage Representation Aggregation for Document Reranking - [[2008.09093](https://arxiv.org/abs/2008.09093)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.09093.md)].
- Automated Machine Learning -- a brief review at the end of the early   years - [[2008.08516](https://arxiv.org/abs/2008.08516)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.08516.md)].
- A Survey of Active Learning for Text Classification using Deep Neural   Networks - [[2008.07267](https://arxiv.org/abs/2008.07267)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.07267.md)].
- Context-aware Feature Generation for Zero-shot Semantic Segmentation - [[2008.06893](https://arxiv.org/abs/2008.06893)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.06893.md)].
- Adaptive Learning of Tensor Network Structures - [[2008.05437](https://arxiv.org/abs/2008.05437)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.05437.md)].
- SpeedySpeech: Efficient Neural Speech Synthesis - [[2008.03802](https://arxiv.org/abs/2008.03802)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.03802.md)].
- Spatiotemporal Contrastive Video Representation Learning - [[2008.03800](https://arxiv.org/abs/2008.03800)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.03800.md)].
- A Boundary Based Out-of-Distribution Classifier for Generalized   Zero-Shot Learning - [[2008.04872](https://arxiv.org/abs/2008.04872)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.04872.md)].
- Self-supervised Video Representation Learning Using Inter-intra   Contrastive Framework - [[2008.02531](https://arxiv.org/abs/2008.02531)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.02531.md)].
- Predicting What You Already Know Helps: Provable Self-Supervised   Learning - [[2008.01064](https://arxiv.org/abs/2008.01064)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.01064.md)].
- Explainable Face Recognition - [[2008.00916](https://arxiv.org/abs/2008.00916)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.00916.md)].

### July 2020
- Demystifying Contrastive Self-Supervised Learning: Invariances,   Augmentations and Dataset Biases - [[2007.13916](https://arxiv.org/abs/2007.13916)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.13916.md)].
- Self-supervised Learning for Large-scale Item Recommendations - [[2007.12865](https://arxiv.org/abs/2007.12865)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.12865.md)].
- Self-Supervised Learning Across Domains - [[2007.12368](https://arxiv.org/abs/2007.12368)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.12368.md)].
- Understanding BERT Rankers Under Distillation - [[2007.11088](https://arxiv.org/abs/2007.11088)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.11088.md)].
- Video Representation Learning by Recognizing Temporal Transformations - [[2007.10730](https://arxiv.org/abs/2007.10730)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.10730.md)].
- Learning Joint Spatial-Temporal Transformations for Video Inpainting - [[2007.10247](https://arxiv.org/abs/2007.10247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.10247.md)].
- Mixture Representation Learning with Coupled Autoencoders - [[2007.09880](https://arxiv.org/abs/2007.09880)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.09880.md)].
- Leveraging Seen and Unseen Semantic Relationships for Generative   Zero-Shot Learning - [[2007.09549](https://arxiv.org/abs/2007.09549)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.09549.md)].
- Towards Deeper Graph Neural Networks - [[2007.09296](https://arxiv.org/abs/2007.09296)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.09296.md)].
- DVI: Depth Guided Video Inpainting for Autonomous Driving - [[2007.08854](https://arxiv.org/abs/2007.08854)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.08854.md)].
- Hopfield Networks is All You Need - [[2008.02217](https://arxiv.org/abs/2008.02217)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2008.02217.md)].
- Natural Graph Networks - [[2007.08349](https://arxiv.org/abs/2007.08349)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.08349.md)].
- Few-shot Scene-adaptive Anomaly Detection - [[2007.07843](https://arxiv.org/abs/2007.07843)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.07843.md)].
- Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature   Equalizations - [[2007.06929](https://arxiv.org/abs/2007.06929)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.06929.md)].
- TERA: Self-Supervised Learning of Transformer Encoder Representation for   Speech - [[2007.06028](https://arxiv.org/abs/2007.06028)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.06028.md)].
- Accuracy Prediction with Non-neural Model for Neural Architecture Search - [[2007.04785](https://arxiv.org/abs/2007.04785)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.04785.md)].
- GOLD-NAS: Gradual, One-Level, Differentiable - [[2007.03331](https://arxiv.org/abs/2007.03331)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.03331.md)].
- GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis - [[2007.02442](https://arxiv.org/abs/2007.02442)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.02442.md)].
- The Fyodorov-Hiary-Keating Conjecture. I - [[2007.0988](https://arxiv.org/abs/2007.0988)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.0988.md)].
- Approximate Nearest Neighbor Negative Contrastive Learning for Dense   Text Retrieval - [[2007.00808](https://arxiv.org/abs/2007.00808)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.00808.md)].
- Interactive Path Reasoning on Graph for Conversational Recommendation - [[2007.00194](https://arxiv.org/abs/2007.00194)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.00194.md)].

### June 2020
- Data Movement Is All You Need: A Case Study on Optimizing Transformers - [[2007.00072](https://arxiv.org/abs/2007.00072)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2007.00072.md)].
- ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through   Scene Graph - [[2006.16934](https://arxiv.org/abs/2006.16934)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.16934.md)].
- PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning - [[2006.16779](https://arxiv.org/abs/2006.16779)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.16779.md)].
- Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial   Imitation Learning - [[2006.16785](https://arxiv.org/abs/2006.16785)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.16785.md)].
- RepBERT: Contextualized Text Embeddings for First-Stage Retrieval - [[2006.15498](https://arxiv.org/abs/2006.15498)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.15498.md)].
- Video Representation Learning with Visual Tempo Consistency - [[2006.15489](https://arxiv.org/abs/2006.15489)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.15489.md)].
- GPT-GNN: Generative Pre-Training of Graph Neural Networks - [[2006.15437](https://arxiv.org/abs/2006.15437)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.15437.md)].
- Space-Time Correspondence as a Contrastive Random Walk - [[2006.14613](https://arxiv.org/abs/2006.14613)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.14613.md)].
- Practical applications of metric space magnitude and weighting vectors - [[2006.14063](https://arxiv.org/abs/2006.14063)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.14063.md)].
- Generative causal explanations of black-box classifiers - [[2006.13913](https://arxiv.org/abs/2006.13913)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.13913.md)].
- Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using   Self-supervised Edge Features and Graph Neural Networks - [[2006.12971](https://arxiv.org/abs/2006.12971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.12971.md)].
- A Constructive, Type-Theoretic Approach to Regression via Global   Optimisation - [[2006.12868](https://arxiv.org/abs/2006.12868)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.12868.md)].
- Unsupervised Evaluation of Interactive Dialog with DialoGPT - [[2006.12719](https://arxiv.org/abs/2006.12719)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.12719.md)].
- Efficient Hyperparameter Optimization in Deep Learning Using a Variable   Length Genetic Algorithm - [[2006.12703](https://arxiv.org/abs/2006.12703)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.12703.md)].
- Logarithmic Pruning is All You Need - [[2006.12156](https://arxiv.org/abs/2006.12156)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.12156.md)].
- Towards Understanding Label Smoothing - [[2006.11653](https://arxiv.org/abs/2006.11653)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.11653.md)].
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech   Representations - [[2006.11477](https://arxiv.org/abs/2006.11477)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.11477.md)].
- Self-Supervised Prototypical Transfer Learning for Few-Shot   Classification - [[2006.11325](https://arxiv.org/abs/2006.11325)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.11325.md)].
- Denoising Diffusion Probabilistic Models - [[2006.11239](https://arxiv.org/abs/2006.11239)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.11239.md)].
- Neural Parameter Allocation Search - [[2006.10598](https://arxiv.org/abs/2006.10598)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.10598.md)].
- Contrastive learning of global and local features for medical image   segmentation with limited annotations - [[2006.10511](https://arxiv.org/abs/2006.10511)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.10511.md)].
- Self-supervised Learning on Graphs: Deep Insights and New Direction - [[2006.10141](https://arxiv.org/abs/2006.10141)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.10141.md)].
- Big Self-Supervised Models are Strong Semi-Supervised Learners - [[2006.10029](https://arxiv.org/abs/2006.10029)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.10029.md)].
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training - [[2006.09963](https://arxiv.org/abs/2006.09963)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.09963.md)].
- Unsupervised Learning of Visual Features by Contrasting Cluster   Assignments - [[2006.09882](https://arxiv.org/abs/2006.09882)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.09882.md)].
- Cross-lingual Retrieval for Iterative Self-Supervised Training - [[2006.09526](https://arxiv.org/abs/2006.09526)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.09526.md)].
- When Does Self-Supervision Help Graph Convolutional Networks? - [[2006.09136](https://arxiv.org/abs/2006.09136)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.09136.md)].
- Augmented Sliced Wasserstein Distances - [[2006.08812](https://arxiv.org/abs/2006.08812)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.08812.md)].
- Self-supervised Learning: Generative or Contrastive - [[2006.08218](https://arxiv.org/abs/2006.08218)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.08218.md)].
- DeeperGCN: All You Need to Train Deeper GCNs - [[2006.07739](https://arxiv.org/abs/2006.07739)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.07739.md)].
- Interpretable Neural Architecture Search via Bayesian Optimisation with   Weisfeiler-Lehman Kernels - [[2006.07556](https://arxiv.org/abs/2006.07556)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.07556.md)].
- Rethinking the Value of Labels for Improving Class-Imbalanced Learning - [[2006.07529](https://arxiv.org/abs/2006.07529)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.07529.md)].
- Self-Supervised Relational Reasoning for Representation Learning - [[2006.05849](https://arxiv.org/abs/2006.05849)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.05849.md)].
- Contrastive Multi-View Representation Learning on Graphs - [[2006.05582](https://arxiv.org/abs/2006.05582)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.05582.md)].
- FastSpeech 2: Fast and High-Quality End-to-End Text to Speech - [[2006.04558](https://arxiv.org/abs/2006.04558)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.04558.md)].
- Differentiable Neural Input Search for Recommender Systems - [[2006.04466](https://arxiv.org/abs/2006.04466)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.04466.md)].
- CoCon: A Self-Supervised Approach for Controlled Text Generation - [[2006.03535](https://arxiv.org/abs/2006.03535)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.03535.md)].
- M3P: Learning Universal Representations via Multitask Multilingual   Multimodal Pre-training - [[2006.02635](https://arxiv.org/abs/2006.02635)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.02635.md)].
- Situated and Interactive Multimodal Conversations - [[2006.01460](https://arxiv.org/abs/2006.01460)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.01460.md)].

### May 2020
- Bayesian Updates Compose Optically - [[2006.01631](https://arxiv.org/abs/2006.01631)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.01631.md)].
- Explainable Artificial Intelligence: a Systematic Review - [[2006.00093](https://arxiv.org/abs/2006.00093)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2006.00093.md)].
- Language Models are Few-Shot Learners - [[2005.14165](https://arxiv.org/abs/2005.14165)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.14165.md)].
- SCAN: Learning to Classify Images without Labels - [[2005.12320](https://arxiv.org/abs/2005.12320)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.12320.md)].
- High-Resolution Image Inpainting with Iterative Confidence Feedback and   Guided Upsampling - [[2005.11742](https://arxiv.org/abs/2005.11742)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.11742.md)].
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks - [[2005.11401](https://arxiv.org/abs/2005.11401)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.11401.md)].
- Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment   Search - [[2005.11129](https://arxiv.org/abs/2005.11129)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.11129.md)].
- Novel Policy Seeking with Constrained Optimization - [[2005.10696](https://arxiv.org/abs/2005.10696)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.10696.md)].
- Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural   Machine Translation - [[2005.10283](https://arxiv.org/abs/2005.10283)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.10283.md)].
- Mirror Descent Policy Optimization - [[2005.09814](https://arxiv.org/abs/2005.09814)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.09814.md)].
- Normalized Attention Without Probability Cage - [[2005.09561](https://arxiv.org/abs/2005.09561)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.09561.md)].
- Vector-Quantized Autoregressive Predictive Coding - [[2005.08392](https://arxiv.org/abs/2005.08392)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.08392.md)].
- Semantic Photo Manipulation with a Generative Image Prior - [[2005.07727](https://arxiv.org/abs/2005.07727)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.07727.md)].
- Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical   Analysis of System-wise Evaluation - [[2005.07362](https://arxiv.org/abs/2005.07362)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.07362.md)].
- Multi-band MelGAN: Faster Waveform Generation for High-Quality   Text-to-Speech - [[2005.05106](https://arxiv.org/abs/2005.05106)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.05106.md)].
- Local Self-Attention over Long Text for Efficient Document Retrieval - [[2005.04908](https://arxiv.org/abs/2005.04908)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.04908.md)].
- Categorical Stochastic Processes and Likelihood - [[2005.04735](https://arxiv.org/abs/2005.04735)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.04735.md)].
- Condensed Movies: Story Based Retrieval with Contextual Embeddings - [[2005.04208](https://arxiv.org/abs/2005.04208)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.04208.md)].
- DramaQA: Character-Centered Video Story Understanding with Hierarchical   QA - [[2005.03356](https://arxiv.org/abs/2005.03356)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.03356.md)].
- The Cascade Transformer: an Application for Efficient Answer Sentence   Selection - [[2005.02534](https://arxiv.org/abs/2005.02534)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.02534.md)].
- Evaluating Explainable AI: Which Algorithmic Explanations Help Users   Predict Model Behavior? - [[2005.01831](https://arxiv.org/abs/2005.01831)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.01831.md)].
- Does Visual Self-Supervision Improve Learning of Speech Representations   for Emotion Recognition? - [[2005.01400](https://arxiv.org/abs/2005.01400)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.01400.md)].
- Learning an Unreferenced Metric for Online Dialogue Evaluation - [[2005.00583](https://arxiv.org/abs/2005.00583)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.00583.md)].
- POINTER: Constrained Progressive Text Generation via Insertion-based   Generative Pre-training - [[2005.00558](https://arxiv.org/abs/2005.00558)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.00558.md)].
- HERO: Hierarchical Encoder for Video+Language Omni-representation   Pre-training - [[2005.00200](https://arxiv.org/abs/2005.00200)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.00200.md)].
- Sparse, Dense, and Attentional Representations for Text Retrieval - [[2005.00181](https://arxiv.org/abs/2005.00181)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2005.00181.md)].

### April 2020
- Consistent Video Depth Estimation - [[2004.15021](https://arxiv.org/abs/2004.15021)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.15021.md)].
- Training Curricula for Open Domain Answer Re-Ranking - [[2004.14269](https://arxiv.org/abs/2004.14269)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.14269.md)].
- Efficient Document Re-Ranking for Transformers by Precomputing Term   Representations - [[2004.14255](https://arxiv.org/abs/2004.14255)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.14255.md)].
- Pre-training Is (Almost) All You Need: An Application to Commonsense   Reasoning - [[2004.14074](https://arxiv.org/abs/2004.14074)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.14074.md)].
- Complementing Lexical Retrieval with Semantic Residual Embedding - [[2004.13969](https://arxiv.org/abs/2004.13969)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.13969.md)].
- Image Augmentation Is All You Need: Regularizing Deep Reinforcement   Learning from Pixels - [[2004.13649](https://arxiv.org/abs/2004.13649)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.13649.md)].
- Recipes for building an open-domain chatbot - [[2004.13637](https://arxiv.org/abs/2004.13637)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.13637.md)].
- Modularized Transfomer-based Ranking Framework - [[2004.13313](https://arxiv.org/abs/2004.13313)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.13313.md)].
- ColBERT: Efficient and Effective Passage Search via Contextualized Late   Interaction over BERT - [[2004.12832](https://arxiv.org/abs/2004.12832)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.12832.md)].
- All you need is a second look: Towards Tighter Arbitrary shape text   detection - [[2004.12436](https://arxiv.org/abs/2004.12436)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.12436.md)].
- Multi-Domain Dialogue Acts and Response Co-Generation - [[2004.12363](https://arxiv.org/abs/2004.12363)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.12363.md)].
- Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical   Encoder for Long-Form Document Matching - [[2004.12297](https://arxiv.org/abs/2004.12297)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.12297.md)].
- Learning Term Discrimination - [[2004.11759](https://arxiv.org/abs/2004.11759)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.11759.md)].
- Supervised Contrastive Learning - [[2004.11362](https://arxiv.org/abs/2004.11362)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.11362.md)].
- Federated Stochastic Gradient Langevin Dynamics - [[2004.11231](https://arxiv.org/abs/2004.11231)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.11231.md)].
- Distilling Knowledge for Fast Retrieval-based Chat-bots - [[2004.11045](https://arxiv.org/abs/2004.11045)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.11045.md)].
- Considering Likelihood in NLP Classification Explanations with Occlusion   and Language Modeling - [[2004.09890](https://arxiv.org/abs/2004.09890)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.09890.md)].
- Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks - [[2004.06165](https://arxiv.org/abs/2004.06165)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.06165.md)].
- Will I Sound Like Me? Improving Persona Consistency in Dialogues through   Pragmatic Self-Consciousness - [[2004.05816](https://arxiv.org/abs/2004.05816)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.05816.md)].
- Dense Passage Retrieval for Open-Domain Question Answering - [[2004.04906](https://arxiv.org/abs/2004.04906)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.04906.md)].
- TextGAIL: Generative Adversarial Imitation Learning for Text Generation - [[2004.13796](https://arxiv.org/abs/2004.13796)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.13796.md)].
- There and Back Again: Revisiting Backpropagation Saliency Methods - [[2004.02866](https://arxiv.org/abs/2004.02866)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.02866.md)].
- A Survey on Conversational Recommender Systems - [[2004.00646](https://arxiv.org/abs/2004.00646)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2004.00646.md)].

### March 2020
- How Useful is Self-Supervised Pretraining for Visual Tasks? - [[2003.14323](https://arxiv.org/abs/2003.14323)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.14323.md)].
- InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining - [[2003.13198](https://arxiv.org/abs/2003.13198)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.13198.md)].
- VIOLIN: A Large-Scale Dataset for Video-and-Language Inference - [[2003.11618](https://arxiv.org/abs/2003.11618)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.11618.md)].
- Rethinking Few-Shot Image Classification: a Good Embedding Is All You   Need? - [[2003.11539](https://arxiv.org/abs/2003.11539)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.11539.md)].
- Deformable Style Transfer - [[2003.11038](https://arxiv.org/abs/2003.11038)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.11038.md)].
- Distributional Reinforcement Learning with Ensembles - [[2003.10903](https://arxiv.org/abs/2003.10903)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.10903.md)].
- Model-based Asynchronous Hyperparameter and Neural Architecture Search - [[2003.10865](https://arxiv.org/abs/2003.10865)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.10865.md)].
- Pre-trained Models for Natural Language Processing: A Survey - [[2003.08271](https://arxiv.org/abs/2003.08271)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.08271.md)].
- Latent Embedding Feedback and Discriminative Features for Zero-Shot   Classification - [[2003.07833](https://arxiv.org/abs/2003.07833)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.07833.md)].
- XPersona: Evaluating Multilingual Personalized Chatbot - [[2003.07568](https://arxiv.org/abs/2003.07568)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.07568.md)].
- Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed   Scenes - [[2003.06877](https://arxiv.org/abs/2003.06877)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.06877.md)].
- VCNet: A Robust Approach to Blind Image Inpainting - [[2003.06816](https://arxiv.org/abs/2003.06816)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.06816.md)].
- Document Ranking with a Pretrained Sequence-to-Sequence Model - [[2003.06713](https://arxiv.org/abs/2003.06713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.06713.md)].
- Building and Interpreting Deep Similarity Models - [[2003.05431](https://arxiv.org/abs/2003.05431)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.05431.md)].
- xCos: An Explainable Cosine Metric for Face Verification Task - [[2003.05383](https://arxiv.org/abs/2003.05383)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.05383.md)].
- Video2Commonsense: Generating Commonsense Descriptions to Enrich Video   Captioning - [[2003.05162](https://arxiv.org/abs/2003.05162)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.05162.md)].
- ReZero is All You Need: Fast Convergence at Large Depth - [[2003.04887](https://arxiv.org/abs/2003.04887)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.04887.md)].
- Improved Baselines with Momentum Contrastive Learning - [[2003.04297](https://arxiv.org/abs/2003.04297)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.04297.md)].
- How to Train Your Super-Net: An Analysis of Training Heuristics in   Weight-Sharing NAS - [[2003.04276](https://arxiv.org/abs/2003.04276)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.04276.md)].
- A Safety Framework for Critical Systems Utilising Deep Neural Networks - [[2003.05311](https://arxiv.org/abs/2003.05311)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.05311.md)].
- De Finetti's construction as a categorical limit - [[2003.01964](https://arxiv.org/abs/2003.01964)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.01964.md)].
- AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit   Alignment - [[2003.01950](https://arxiv.org/abs/2003.01950)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.01950.md)].
- XGPT: Cross-modal Generative Pre-Training for Image Captioning - [[2003.01473](https://arxiv.org/abs/2003.01473)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.01473.md)].
- Benchmarking Graph Neural Networks - [[2003.00982](https://arxiv.org/abs/2003.00982)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2003.00982.md)].

### February 2020
- DC-BERT: Decoupling Question and Document for Efficient Contextual   Encoding - [[2002.12591](https://arxiv.org/abs/2002.12591)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.12591.md)].
- Estimation-Action-Reflection: Towards Deep Interaction Between   Conversational and Recommender Systems - [[2002.09102](https://arxiv.org/abs/2002.09102)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.09102.md)].
- Automatic Shortcut Removal for Self-Supervised Representation Learning - [[2002.08822](https://arxiv.org/abs/2002.08822)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.08822.md)].
- Disentangled Speech Embeddings using Cross-modal Self-supervision - [[2002.08742](https://arxiv.org/abs/2002.08742)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.08742.md)].
- Gradient Boosting Neural Networks: GrowNet - [[2002.07971](https://arxiv.org/abs/2002.07971)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.07971.md)].
- Information Condensing Active Learning - [[2002.07916](https://arxiv.org/abs/2002.07916)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.07916.md)].
- UniVL: A Unified Video and Language Pre-Training Model for Multimodal   Understanding and Generation - [[2002.06353](https://arxiv.org/abs/2002.06353)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.06353.md)].
- A Simple Framework for Contrastive Learning of Visual Representations - [[2002.05709](https://arxiv.org/abs/2002.05709)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.05709.md)].
- REALM: Retrieval-Augmented Language Model Pre-Training - [[2002.08909](https://arxiv.org/abs/2002.08909)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.08909.md)].
- Pre-training Tasks for Embedding-based Large-scale Retrieval - [[2002.03932](https://arxiv.org/abs/2002.03932)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.03932.md)].
- Unsupervised pretraining transfers well across languages - [[2002.02848](https://arxiv.org/abs/2002.02848)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.02848.md)].
- Dynamic Knowledge Routing Network For Target-Guided Open-Domain   Conversation - [[2002.01196](https://arxiv.org/abs/2002.01196)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.01196.md)].
- Proving the Lottery Ticket Hypothesis: Pruning is All You Need - [[2002.00585](https://arxiv.org/abs/2002.00585)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2002.00585.md)].

### January 2020
- Learning Robust and Multilingual Speech Representations - [[2001.11128](https://arxiv.org/abs/2001.11128)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.11128.md)].
- Selective Weak Supervision for Neural Information Retrieval - [[2001.10382](https://arxiv.org/abs/2001.10382)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.10382.md)].
- Multi-task self-supervised learning for Robust Speech Recognition - [[2001.09239](https://arxiv.org/abs/2001.09239)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.09239.md)].
- TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval - [[2001.09099](https://arxiv.org/abs/2001.09099)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.09099.md)].
- Scaling Laws for Neural Language Models - [[2001.08361](https://arxiv.org/abs/2001.08361)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.08361.md)].
- Safety Concerns and Mitigation Approaches Regarding the Use of Deep   Learning in Safety-Critical Perception Tasks - [[2001.08001](https://arxiv.org/abs/2001.08001)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.08001.md)].
- Latency-Aware Differentiable Neural Architecture Search - [[2001.06392](https://arxiv.org/abs/2001.06392)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.06392.md)].
- MixPath: A Unified Approach for One-shot Neural Architecture Search - [[2001.05887](https://arxiv.org/abs/2001.05887)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.05887.md)].
- A Categorical Framework for Learning Generalised Tree Automata - [[2001.05786](https://arxiv.org/abs/2001.05786)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.05786.md)].
- Visually Guided Self Supervised Learning of Speech Representations - [[2001.04316](https://arxiv.org/abs/2001.04316)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.04316.md)].
- ProphetNet: Predicting Future N-gram for Sequence-to-Sequence   Pre-training - [[2001.04063](https://arxiv.org/abs/2001.04063)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.04063.md)].
- Correctness of Automatic Differentiation via Diffeologies and   Categorical Gluing - [[2001.02209](https://arxiv.org/abs/2001.02209)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.02209.md)].
- Deeper Insights into Weight Sharing in Neural Architecture Search - [[2001.01431](https://arxiv.org/abs/2001.01431)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2001.01431.md)].
</div></details>
<details open><summary><strong>2019</strong></summary><div>

### December 2019
- RC-DARTS: Resource Constrained Differentiable Architecture Search - [[1912.12814](https://arxiv.org/abs/1912.12814)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.12814.md)].
- NAS evaluation is frustratingly hard - [[1912.12522](https://arxiv.org/abs/1912.12522)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.12522.md)].
- Improving Knowledge-aware Dialogue Generation via Knowledge Base   Question Answering - [[1912.07491](https://arxiv.org/abs/1912.07491)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.07491.md)].
- Image Processing Using Multi-Code GAN Prior - [[1912.07116](https://arxiv.org/abs/1912.07116)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.07116.md)].
- ClusterFit: Improving Generalization of Visual Representations - [[1912.03330](https://arxiv.org/abs/1912.03330)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.03330.md)].
- Self-Supervised Visual Terrain Classification from Unsupervised Acoustic   Feature Learning - [[1912.03227](https://arxiv.org/abs/1912.03227)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.03227.md)].
- Infinite products and zero-one laws in categorical probability - [[1912.02769](https://arxiv.org/abs/1912.02769)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.02769.md)].
- 15 Keypoints Is All You Need - [[1912.02323](https://arxiv.org/abs/1912.02323)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.02323.md)].
- 12-in-1: Multi-Task Vision and Language Representation Learning - [[1912.02315](https://arxiv.org/abs/1912.02315)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.02315.md)].
- Prioritized Unit Propagation with Periodic Resetting is (Almost) All You   Need for Random SAT Solving - [[1912.05906](https://arxiv.org/abs/1912.05906)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.05906.md)].
- Self-Supervised Learning of Pretext-Invariant Representations - [[1912.01991](https://arxiv.org/abs/1912.01991)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.01991.md)].
- Just Go with the Flow: Self-Supervised Scene Flow Estimation - [[1912.00497](https://arxiv.org/abs/1912.00497)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1912.00497.md)].

### November 2019
- ASR is all you need: cross-modal distillation for lip reading - [[1911.12747](https://arxiv.org/abs/1911.12747)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.12747.md)].
- Single Headed Attention RNN: Stop Thinking With Your Head - [[1911.11423](https://arxiv.org/abs/1911.11423)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.11423.md)].
- Binarized Neural Architecture Search - [[1911.10862](https://arxiv.org/abs/1911.10862)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.10862.md)].
- Breaking the cycle -- Colleagues are all you need - [[1911.10538](https://arxiv.org/abs/1911.10538)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.10538.md)].
- Region Normalization for Image Inpainting - [[1911.10375](https://arxiv.org/abs/1911.10375)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.10375.md)].
- All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting - [[1911.09550](https://arxiv.org/abs/1911.09550)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.09550.md)].
- Automatic Text-based Personality Recognition on Monologues and   Multiparty Dialogues Using Attentive Networks and Contextual Embeddings - [[1911.09304](https://arxiv.org/abs/1911.09304)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.09304.md)].
- Generating Persona Consistent Dialogues by Exploiting Natural Language   Inference - [[1911.05889](https://arxiv.org/abs/1911.05889)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.05889.md)].
- Momentum Contrast for Unsupervised Visual Representation Learning - [[1911.05722](https://arxiv.org/abs/1911.05722)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.05722.md)].
- A Pre-training Based Personalized Dialogue Generation Model with   Persona-sparse Data - [[1911.04700](https://arxiv.org/abs/1911.04700)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.04700.md)].
- Effectiveness of self-supervised pre-training for speech recognition - [[1911.03912](https://arxiv.org/abs/1911.03912)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.03912.md)].
- Contextualized Sparse Representations for Real-Time Open-Domain Question   Answering - [[1911.02896](https://arxiv.org/abs/1911.02896)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.02896.md)].
- Fast Transformer Decoding: One Write-Head is All You Need - [[1911.02150](https://arxiv.org/abs/1911.02150)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1911.02150.md)].

### October 2019
- Attention Is All You Need for Chinese Word Segmentation - [[1910.14537](https://arxiv.org/abs/1910.14537)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.14537.md)].
- Multi-Stage Document Ranking with BERT - [[1910.14424](https://arxiv.org/abs/1910.14424)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.14424.md)].
- Towards Unsupervised Speech Recognition and Synthesis with Quantized   Speech Representation Learning - [[1910.12729](https://arxiv.org/abs/1910.12729)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.12729.md)].
- Stabilizing DARTS with Amended Gradient Estimation on Architectural   Parameters - [[1910.11831](https://arxiv.org/abs/1910.11831)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.11831.md)].
- Mockingjay: Unsupervised Speech Representation Learning with Deep   Bidirectional Transformer Encoders - [[1910.12638](https://arxiv.org/abs/1910.12638)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.12638.md)].
- Parallel WaveGAN: A fast waveform generation model based on generative   adversarial networks with multi-resolution spectrogram - [[1910.11480](https://arxiv.org/abs/1910.11480)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.11480.md)].
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text   Transformer - [[1910.10683](https://arxiv.org/abs/1910.10683)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.10683.md)].
- Generative Pre-Training for Speech with Autoregressive Predictive Coding - [[1910.12607](https://arxiv.org/abs/1910.12607)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.12607.md)].
- KnowIT VQA: Answering Knowledge-Based Questions about Videos - [[1910.10706](https://arxiv.org/abs/1910.10706)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.10706.md)].
- Location-Relative Attention Mechanisms For Robust Long-Form Speech   Synthesis - [[1910.10288](https://arxiv.org/abs/1910.10288)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.10288.md)].
- Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video - [[1910.09430](https://arxiv.org/abs/1910.09430)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.09430.md)].
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks - [[1910.08485](https://arxiv.org/abs/1910.08485)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.08485.md)].
- ALOHA: Artificial Learning of Human Attributes for Dialogue Agents - [[1910.08293](https://arxiv.org/abs/1910.08293)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.08293.md)].
- Reverse derivative categories - [[1910.07065](https://arxiv.org/abs/1910.07065)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.07065.md)].
- Understanding the Limitations of Variational Mutual Information   Estimators - [[1910.06222](https://arxiv.org/abs/1910.06222)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.06222.md)].
- Self-supervised Label Augmentation via Input Transformations - [[1910.05872](https://arxiv.org/abs/1910.05872)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.05872.md)].
- vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations - [[1910.05453](https://arxiv.org/abs/1910.05453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.05453.md)].
- A cost-effective method for improving and re-purposing large,   pre-trained GANs by fine-tuning their class-embeddings - [[1910.04760](https://arxiv.org/abs/1910.04760)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.04760.md)].
- Explaining image classifiers by removing input features using generative   models - [[1910.04256](https://arxiv.org/abs/1910.04256)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.04256.md)].
- Probability, valuations, hyperspace: Three monads on Top and the support   as a morphism - [[1910.03752](https://arxiv.org/abs/1910.03752)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.03752.md)].
- Bayesian open games - [[1910.03656](https://arxiv.org/abs/1910.03656)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.03656.md)].
- MelGAN: Generative Adversarial Networks for Conditional Waveform   Synthesis - [[1910.06711](https://arxiv.org/abs/1910.06711)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.06711.md)].
- Continual Learning in Neural Networks - [[1910.02718](https://arxiv.org/abs/1910.02718)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.02718.md)].
- ZeRO: Memory Optimizations Toward Training Trillion Parameter Models - [[1910.02054](https://arxiv.org/abs/1910.02054)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.02054.md)].
- Is Fast Adaptation All You Need? - [[1910.01705](https://arxiv.org/abs/1910.01705)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1910.01705.md)].

### September 2019
- Interpretations are useful: penalizing explanations to align neural   networks with prior knowledge - [[1909.13584](https://arxiv.org/abs/1909.13584)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.13584.md)].
- Visual Explanation for Deep Metric Learning - [[1909.12977](https://arxiv.org/abs/1909.12977)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.12977.md)].
- Joint-task Self-supervised Learning for Temporal Correspondence - [[1909.11895](https://arxiv.org/abs/1909.11895)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.11895.md)].
- UNITER: UNiversal Image-TExt Representation Learning - [[1909.11740](https://arxiv.org/abs/1909.11740)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.11740.md)].
- High Fidelity Speech Synthesis with Adversarial Networks - [[1909.11646](https://arxiv.org/abs/1909.11646)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.11646.md)].
- Improving Generative Visual Dialog by Answering Diverse Questions - [[1909.10470](https://arxiv.org/abs/1909.10470)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.10470.md)].
- On Model Stability as a Function of Random Seed - [[1909.10447](https://arxiv.org/abs/1909.10447)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.10447.md)].
- Understanding and Robustifying Differentiable Architecture Search - [[1909.09656](https://arxiv.org/abs/1909.09656)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.09656.md)].
- Self-Training for End-to-End Speech Recognition - [[1909.09116](https://arxiv.org/abs/1909.09116)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.09116.md)].
- Megatron-LM: Training Multi-Billion Parameter Language Models Using   Model Parallelism - [[1909.08053](https://arxiv.org/abs/1909.08053)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.08053.md)].
- An Internal Learning Approach to Video Inpainting - [[1909.07957](https://arxiv.org/abs/1909.07957)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.07957.md)].
- Learning to Deceive with Attention-Based Explanations - [[1909.07913](https://arxiv.org/abs/1909.07913)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.07913.md)].
- Towards Scalable Multi-domain Conversational Agents: The Schema-Guided   Dialogue Dataset - [[1909.05855](https://arxiv.org/abs/1909.05855)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.05855.md)].
- CTRL: A Conditional Transformer Language Model for Controllable   Generation - [[1909.05858](https://arxiv.org/abs/1909.05858)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.05858.md)].
- ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and   Multi-turn Comparisons - [[1909.03087](https://arxiv.org/abs/1909.03087)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.03087.md)].
- Image Inpainting with Learnable Bidirectional Attention Maps - [[1909.00968](https://arxiv.org/abs/1909.00968)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.00968.md)].
- Identifying Personality Traits Using Overlap Dynamics in Multiparty   Dialogue - [[1909.00876](https://arxiv.org/abs/1909.00876)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.00876.md)].
- All You Need is Ratings: A Clustering Approach to Synthetic Rating   Datasets Generation - [[1909.00687](https://arxiv.org/abs/1909.00687)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1909.00687.md)].

### August 2019
- Copy-and-Paste Networks for Deep Video Inpainting - [[1908.11587](https://arxiv.org/abs/1908.11587)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.11587.md)].
- Onion-Peel Networks for Deep Video Completion - [[1908.08718](https://arxiv.org/abs/1908.08718)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.08718.md)].
- VL-BERT: Pre-training of Generic Visual-Linguistic Representations - [[1908.08530](https://arxiv.org/abs/1908.08530)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.08530.md)].
- Efficient Deep Neural Networks - [[1908.08926](https://arxiv.org/abs/1908.08926)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.08926.md)].
- A synthetic approach to Markov kernels, conditional independence and   theorems on sufficient statistics - [[1908.07021](https://arxiv.org/abs/1908.07021)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.07021.md)].
- Unsupervised Learning of Landmarks by Descriptor Vector Exchange - [[1908.06427](https://arxiv.org/abs/1908.06427)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.06427.md)].
- Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal   Pre-training - [[1908.06066](https://arxiv.org/abs/1908.06066)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.06066.md)].
- StructureFlow: Image Inpainting via Structure-aware Appearance Flow - [[1908.03852](https://arxiv.org/abs/1908.03852)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.03852.md)].
- Approximating the Convex Hull via Metric Space Magnitude - [[1908.02692](https://arxiv.org/abs/1908.02692)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.02692.md)].
- ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for   Vision-and-Language Tasks - [[1908.02265](https://arxiv.org/abs/1908.02265)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.02265.md)].
- On the Existence of Simpler Machine Learning Models - [[1908.01755](https://arxiv.org/abs/1908.01755)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.01755.md)].
- Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique   for Deep Convolutional Neural Network Models - [[1908.01224](https://arxiv.org/abs/1908.01224)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.01224.md)].
- Generative Image Inpainting with Submanifold Alignment - [[1908.00211](https://arxiv.org/abs/1908.00211)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1908.00211.md)].

### July 2019
- On Mutual Information Maximization for Representation Learning - [[1907.13625](https://arxiv.org/abs/1907.13625)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.13625.md)].
- Benchmarking Attribution Methods with Relative Feature Importance - [[1907.09701](https://arxiv.org/abs/1907.09701)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.09701.md)].
- Forward-Backward Decoding for Regularizing End-to-End TTS - [[1907.09006](https://arxiv.org/abs/1907.09006)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.09006.md)].
- Compositional Deep Learning - [[1907.08292](https://arxiv.org/abs/1907.08292)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.08292.md)].
- PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture   Search - [[1907.05737](https://arxiv.org/abs/1907.05737)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.05737.md)].
- Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot   Learning - [[1907.05570](https://arxiv.org/abs/1907.05570)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.05570.md)].
- Generative Counterfactual Introspection for Explainable Deep Learning - [[1907.03077](https://arxiv.org/abs/1907.03077)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.03077.md)].
- Large Scale Adversarial Representation Learning - [[1907.02544](https://arxiv.org/abs/1907.02544)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.02544.md)].
- Generalizing from a few environments in safety-critical reinforcement   learning - [[1907.01475](https://arxiv.org/abs/1907.01475)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.01475.md)].
- Learnable Gated Temporal Shift Module for Deep Video Inpainting - [[1907.01131](https://arxiv.org/abs/1907.01131)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.01131.md)].

### June 2019
- Self-Supervised Dialogue Learning - [[1907.00448](https://arxiv.org/abs/1907.00448)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1907.00448.md)].
- Using Self-Supervised Learning Can Improve Model Robustness and   Uncertainty - [[1906.12340](https://arxiv.org/abs/1906.12340)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.12340.md)].
- Improving performance of deep learning models with axiomatic attribution   priors and expected gradients - [[1906.10670](https://arxiv.org/abs/1906.10670)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.10670.md)].
- Unsupervised State Representation Learning in Atari - [[1906.08226](https://arxiv.org/abs/1906.08226)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.08226.md)].
- Sample-Efficient Neural Architecture Search by Learning Action Space - [[1906.06832](https://arxiv.org/abs/1906.06832)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.06832.md)].
- One Epoch Is All You Need - [[1906.06669](https://arxiv.org/abs/1906.06669)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.06669.md)].
- Contrastive Multiview Coding - [[1906.05849](https://arxiv.org/abs/1906.05849)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.05849.md)].
- Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index - [[1906.05807](https://arxiv.org/abs/1906.05807)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.05807.md)].
- Factorized Mutual Information Maximization - [[1906.05460](https://arxiv.org/abs/1906.05460)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.05460.md)].
- Self-Supervised Learning for Contextualized Extractive Summarization - [[1906.04466](https://arxiv.org/abs/1906.04466)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.04466.md)].
- Effective Use of Variational Embedding Capacity in Expressive End-to-End   Speech Synthesis - [[1906.03402](https://arxiv.org/abs/1906.03402)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.03402.md)].
- HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million   Narrated Video Clips - [[1906.03327](https://arxiv.org/abs/1906.03327)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.03327.md)].
- Selfie: Self-supervised Pretraining for Image Embedding - [[1906.02940](https://arxiv.org/abs/1906.02940)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.02940.md)].
- XRAI: Better Attributions Through Regions - [[1906.02825](https://arxiv.org/abs/1906.02825)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.02825.md)].
- Attention is all you need for Videos: Self-attention based Video   Summarization using Universal Transformers - [[1906.02792](https://arxiv.org/abs/1906.02792)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.02792.md)].
- Image Synthesis with a Single (Robust) Classifier - [[1906.09453](https://arxiv.org/abs/1906.09453)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.09453.md)].
- Automated Machine Learning: State-of-The-Art and Open Challenges - [[1906.02287](https://arxiv.org/abs/1906.02287)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.02287.md)].
- Learning Representations by Maximizing Mutual Information Across Views - [[1906.00910](https://arxiv.org/abs/1906.00910)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.00910.md)].
- Zero-Shot Semantic Segmentation - [[1906.00817](https://arxiv.org/abs/1906.00817)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.00817.md)].
- Rethinking Loss Design for Large-scale 3D Shape Retrieval - [[1906.0546](https://arxiv.org/abs/1906.0546)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.0546.md)].
- Latent Retrieval for Weakly Supervised Open Domain Question Answering - [[1906.00300](https://arxiv.org/abs/1906.00300)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.00300.md)].
- Learning to Generate Grounded Visual Captions without Localization   Supervision - [[1906.00283](https://arxiv.org/abs/1906.00283)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1906.00283.md)].

### May 2019
- Attention Is (not) All You Need for Commonsense Reasoning - [[1905.13497](https://arxiv.org/abs/1905.13497)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.13497.md)].
- Align-and-Attend Network for Globally and Locally Coherent Video   Inpainting - [[1905.13066](https://arxiv.org/abs/1905.13066)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.13066.md)].
- Let's Agree to Agree: Neural Networks Share Classification Order on Real   Datasets - [[1905.10854](https://arxiv.org/abs/1905.10854)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.10854.md)].
- Why do These Match? Explaining the Behavior of Image Similarity Models - [[1905.10797](https://arxiv.org/abs/1905.10797)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.10797.md)].
- Countering Noisy Labels By Learning From Auxiliary Clean Labels - [[1905.13305](https://arxiv.org/abs/1905.13305)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.13305.md)].
- Data-Efficient Image Recognition with Contrastive Predictive Coding - [[1905.09272](https://arxiv.org/abs/1905.09272)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.09272.md)].
- FastSpeech: Fast, Robust and Controllable Text to Speech - [[1905.09263](https://arxiv.org/abs/1905.09263)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.09263.md)].
- Deeper Text Understanding for IR with Contextual Neural Language   Modeling - [[1905.09217](https://arxiv.org/abs/1905.09217)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.09217.md)].
- PEPSI++: Fast and Lightweight Network for Image Inpainting - [[1905.09010](https://arxiv.org/abs/1905.09010)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.09010.md)].
- Evolving Rewards to Automate Reinforcement Learning - [[1905.07628](https://arxiv.org/abs/1905.07628)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.07628.md)].
- Tabular Benchmarks for Joint Architecture and Hyperparameter   Optimization - [[1905.04970](https://arxiv.org/abs/1905.04970)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.04970.md)].
- Deep Flow-Guided Video Inpainting - [[1905.02884](https://arxiv.org/abs/1905.02884)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.02884.md)].
- Frame-Recurrent Video Inpainting by Robust Optical Flow Inference - [[1905.02882](https://arxiv.org/abs/1905.02882)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.02882.md)].
- Characterizing the invariances of learning algorithms using category   theory - [[1905.02072](https://arxiv.org/abs/1905.02072)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.02072.md)].
- Deep Video Inpainting - [[1905.01639](https://arxiv.org/abs/1905.01639)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.01639.md)].
- Unsupervised Pre-Training of Image Features on Non-Curated Data - [[1905.01278](https://arxiv.org/abs/1905.01278)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.01278.md)].
- Scaling and Benchmarking Self-Supervised Visual Representation Learning - [[1905.01235](https://arxiv.org/abs/1905.01235)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.01235.md)].
- Visualizing Deep Networks by Optimizing with Integrated Gradients - [[1905.00954](https://arxiv.org/abs/1905.00954)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.00954.md)].
- Full-Gradient Representation for Neural Network Visualization - [[1905.00780](https://arxiv.org/abs/1905.00780)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.00780.md)].

### April 2019
- Segmentation is All You Need - [[1904.13300](https://arxiv.org/abs/1904.13300)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.13300.md)].
- A critical analysis of self-supervision, or what we can learn from a   single image - [[1904.13132](https://arxiv.org/abs/1904.13132)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.13132.md)].
- TVQA+: Spatio-Temporal Grounding for Video Question Answering - [[1904.11574](https://arxiv.org/abs/1904.11574)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.11574.md)].
- DynamoNet: Dynamic Action and Motion Network - [[1904.11407](https://arxiv.org/abs/1904.11407)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.11407.md)].
- Free-form Video Inpainting with 3D Gated Convolution and Temporal   PatchGAN - [[1904.10247](https://arxiv.org/abs/1904.10247)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.10247.md)].
- GraphNAS: Graph Neural Architecture Search with Reinforcement Learning - [[1904.09981](https://arxiv.org/abs/1904.09981)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.09981.md)].
- Poly-encoders: Transformer Architectures and Pre-training Strategies for   Fast and Accurate Multi-sentence Scoring - [[1905.01969](https://arxiv.org/abs/1905.01969)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1905.01969.md)].
- SelFlow: Self-Supervised Learning of Optical Flow - [[1904.09117](https://arxiv.org/abs/1904.09117)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.09117.md)].
- Self-Supervised Audio-Visual Co-Segmentation - [[1904.09013](https://arxiv.org/abs/1904.09013)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.09013.md)].
- Understanding Neural Networks via Feature Visualization: A survey - [[1904.08939](https://arxiv.org/abs/1904.08939)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.08939.md)].
- Document Expansion by Query Prediction - [[1904.08375](https://arxiv.org/abs/1904.08375)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.08375.md)].
- Deep Fusion Network for Image Completion - [[1904.08060](https://arxiv.org/abs/1904.08060)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.08060.md)].
- Semantically Aligned Bias Reducing Zero Shot Learning - [[1904.07659](https://arxiv.org/abs/1904.07659)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.07659.md)].
- HARK Side of Deep Learning -- From Grad Student Descent to Automated   Machine Learning - [[1904.07633](https://arxiv.org/abs/1904.07633)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.07633.md)].
- Understanding the Behaviors of BERT in Ranking - [[1904.07531](https://arxiv.org/abs/1904.07531)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.07531.md)].
- Learning Pyramid-Context Encoder Network for High-Quality Image   Inpainting - [[1904.07475](https://arxiv.org/abs/1904.07475)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.07475.md)].
- Counterfactual Visual Explanations - [[1904.07451](https://arxiv.org/abs/1904.07451)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.07451.md)].
- The Geometry of Bayesian Programming - [[1904.07425](https://arxiv.org/abs/1904.07425)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.07425.md)].
- Focus Is All You Need: Loss Functions For Event-based Vision - [[1904.07235](https://arxiv.org/abs/1904.07235)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.07235.md)].
- CEDR: Contextualized Embeddings for Document Ranking - [[1904.07094](https://arxiv.org/abs/1904.07094)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.07094.md)].
- VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal - [[1904.06726](https://arxiv.org/abs/1904.06726)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.06726.md)].
- wav2vec: Unsupervised Pre-training for Speech Recognition - [[1904.05862](https://arxiv.org/abs/1904.05862)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.05862.md)].
- ThumbNet: One Thumbnail Image Contains All You Need for Recognition - [[1904.05034](https://arxiv.org/abs/1904.05034)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.05034.md)].
- On zero-shot recognition of generic objects - [[1904.04957](https://arxiv.org/abs/1904.04957)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.04957.md)].
- Leveraging the Invariant Side of Generative Zero-Shot Learning - [[1904.04092](https://arxiv.org/abs/1904.04092)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.04092.md)].
- Self-supervised Spatio-temporal Representation Learning for Videos by   Predicting Motion and Appearance Statistics - [[1904.03597](https://arxiv.org/abs/1904.03597)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.03597.md)].
- Data Shapley: Equitable Valuation of Data for Machine Learning - [[1904.02868](https://arxiv.org/abs/1904.02868)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.02868.md)].
- VideoBERT: A Joint Model for Video and Language Representation Learning - [[1904.01766](https://arxiv.org/abs/1904.01766)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.01766.md)].
- Creativity Inspired Zero-Shot Learning - [[1904.01109](https://arxiv.org/abs/1904.01109)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.01109.md)].

### March 2019
- Interpreting Black Box Models via Hypothesis Testing - [[1904.00045](https://arxiv.org/abs/1904.00045)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1904.00045.md)].
- Wasserstein Dependency Measure for Representation Learning - [[1903.11780](https://arxiv.org/abs/1903.11780)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.11780.md)].
- Self-Supervised Learning via Conditional Motion Propagation - [[1903.11412](https://arxiv.org/abs/1903.11412)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.11412.md)].
- Simple Applications of BERT for Ad Hoc Document Retrieval - [[1903.10972](https://arxiv.org/abs/1903.10972)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.10972.md)].
- Generalized Convolution and Efficient Language Recognition - [[1903.10677](https://arxiv.org/abs/1903.10677)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.10677.md)].
- sharpDARTS: Faster and More Accurate Differentiable Architecture Search - [[1903.09900](https://arxiv.org/abs/1903.09900)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.09900.md)].
- Learning Correspondence from the Cycle-Consistency of Time - [[1903.07593](https://arxiv.org/abs/1903.07593)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.07593.md)].
- A Deep Look into Neural Ranking Models for Information Retrieval - [[1903.06902](https://arxiv.org/abs/1903.06902)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.06902.md)].
- All You Need is a Few Shifts: Designing Efficient Convolutional Neural   Networks for Image Classification - [[1903.05285](https://arxiv.org/abs/1903.05285)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.05285.md)].
- Pluralistic Image Completion - [[1903.04227](https://arxiv.org/abs/1903.04227)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.04227.md)].
- Deep Reinforcement Learning of Volume-guided Progressive View Inpainting   for 3D Point Scene Completion from a Single Depth Image - [[1903.04019](https://arxiv.org/abs/1903.04019)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.04019.md)].
- CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual   Dialog - [[1903.03166](https://arxiv.org/abs/1903.03166)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.03166.md)].
- Self-Supervised Learning of 3D Human Pose using Multi-view Geometry - [[1903.02330](https://arxiv.org/abs/1903.02330)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.02330.md)].
- High-Fidelity Image Generation With Fewer Labels - [[1903.02271](https://arxiv.org/abs/1903.02271)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.02271.md)].
- Learning Latent Plans from Play - [[1903.01973](https://arxiv.org/abs/1903.01973)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.01973.md)].
- Lenses and Learners - [[1903.03671](https://arxiv.org/abs/1903.03671)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.03671.md)].
- Stabilizing the Lottery Ticket Hypothesis - [[1903.01611](https://arxiv.org/abs/1903.01611)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.01611.md)].
- Differentiable Causal Computations via Delayed Trace - [[1903.01093](https://arxiv.org/abs/1903.01093)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.01093.md)].
- Semantic-Guided Multi-Attention Localization for Zero-Shot Learning - [[1903.00502](https://arxiv.org/abs/1903.00502)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1903.00502.md)].

### February 2019
- Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on   Graphs with Few Labels - [[1902.11038](https://arxiv.org/abs/1902.11038)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.11038.md)].
- A Theoretical Analysis of Contrastive Unsupervised Representation   Learning - [[1902.09229](https://arxiv.org/abs/1902.09229)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.09229.md)].
- From open learners to open games - [[1902.08666](https://arxiv.org/abs/1902.08666)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.08666.md)].
- Evaluating the Search Phase of Neural Architecture Search - [[1902.08142](https://arxiv.org/abs/1902.08142)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.08142.md)].
- Predicting city safety perception based on visual image content - [[1902.06871](https://arxiv.org/abs/1902.06871)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.06871.md)].
- SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch   and Color - [[1902.06838](https://arxiv.org/abs/1902.06838)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.06838.md)].
- CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix   Space Model - [[1902.06423](https://arxiv.org/abs/1902.06423)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.06423.md)].
- Self-supervised Visual Feature Learning with Deep Neural Networks: A   Survey - [[1902.06162](https://arxiv.org/abs/1902.06162)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.06162.md)].
- LS-Tree: Model Interpretation When the Data Are Linguistic - [[1902.04187](https://arxiv.org/abs/1902.04187)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.04187.md)].
- Towards Automatic Concept-based Explanations - [[1902.03129](https://arxiv.org/abs/1902.03129)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.03129.md)].
- Depthwise Convolution is All You Need for Learning Multiple Visual   Domains - [[1902.00927](https://arxiv.org/abs/1902.00927)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.00927.md)].
- Collaborative Sampling in Generative Adversarial Networks - [[1902.00813](https://arxiv.org/abs/1902.00813)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.00813.md)].
- Parameter-Efficient Transfer Learning for NLP - [[1902.00751](https://arxiv.org/abs/1902.00751)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1902.00751.md)].

### January 2019
- Compositionality for Recursive Neural Networks - [[1901.10723](https://arxiv.org/abs/1901.10723)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.10723.md)].
- Personalized Dialogue Generation with Diversified Traits - [[1901.09672](https://arxiv.org/abs/1901.09672)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.09672.md)].
- On the (In)fidelity and Sensitivity for Explanations - [[1901.09392](https://arxiv.org/abs/1901.09392)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.09392.md)].
- Revisiting Self-Supervised Visual Representation Learning - [[1901.09005](https://arxiv.org/abs/1901.09005)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.09005.md)].
- Diffusion Variational Autoencoders - [[1901.08991](https://arxiv.org/abs/1901.08991)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.08991.md)].
- Self-Supervised Generalisation with Meta Auxiliary Learning - [[1901.08933](https://arxiv.org/abs/1901.08933)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.08933.md)].
- Improving Sequence-to-Sequence Learning via Optimal Transport - [[1901.06283](https://arxiv.org/abs/1901.06283)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.06283.md)].
- Foreground-aware Image Inpainting - [[1901.05945](https://arxiv.org/abs/1901.05945)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.05945.md)].
- Passage Re-ranking with BERT - [[1901.04085](https://arxiv.org/abs/1901.04085)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.04085.md)].
- Automated Rationale Generation: A Technique for Explainable AI and its   Effects on Human Perceptions - [[1901.03729](https://arxiv.org/abs/1901.03729)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.03729.md)].
- Detecting Overfitting of Deep Generative Networks via Latent Recovery - [[1901.03396](https://arxiv.org/abs/1901.03396)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.03396.md)].
- A Comprehensive Survey on Graph Neural Networks - [[1901.00596](https://arxiv.org/abs/1901.00596)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.00596.md)].
- Visualizing Deep Similarity Networks - [[1901.00536](https://arxiv.org/abs/1901.00536)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.00536.md)].
- EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning - [[1901.00212](https://arxiv.org/abs/1901.00212)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.00212.md)].
- A Theoretical Analysis of Deep Q-Learning - [[1901.00137](https://arxiv.org/abs/1901.00137)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1901.00137.md)].
</div></details>
<details open><summary><strong>2018</strong></summary><div>

### December 2018
- Improving the Interpretability of Deep Neural Networks with Knowledge   Distillation - [[1812.10924](https://arxiv.org/abs/1812.10924)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1812.10924.md)].
- Adaptive Confidence Smoothing for Generalized Zero-Shot Learning - [[1812.09903](https://arxiv.org/abs/1812.09903)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1812.09903.md)].
- Face Completion with Semantic Knowledge and Collaborative Adversarial   Learning - [[1812.03252](https://arxiv.org/abs/1812.03252)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1812.03252.md)].
- Generalized Zero- and Few-Shot Learning via Aligned Variational   Autoencoders - [[1812.01784](https://arxiv.org/abs/1812.01784)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1812.01784.md)].
- Deep Inception Generative Network for Cognitive Image Inpainting - [[1812.01458](https://arxiv.org/abs/1812.01458)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1812.01458.md)].

### November 2018
- Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses   of Familiar Objects - [[1811.11553](https://arxiv.org/abs/1811.11553)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.11553.md)].
- Coordinate-based Texture Inpainting for Pose-Guided Image Generation - [[1811.11459](https://arxiv.org/abs/1811.11459)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.11459.md)].
- GAN Dissection: Visualizing and Understanding Generative Adversarial   Networks - [[1811.10597](https://arxiv.org/abs/1811.10597)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.10597.md)].
- Self-Supervised Video Representation Learning with Space-Time Cubic   Puzzles - [[1811.09795](https://arxiv.org/abs/1811.09795)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.09795.md)].
- Bytes are All You Need: End-to-End Multilingual Speech Recognition and   Synthesis with Bytes - [[1811.09021](https://arxiv.org/abs/1811.09021)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.09021.md)].
- Causal Inference by String Diagram Surgery - [[1811.08338](https://arxiv.org/abs/1811.08338)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.08338.md)].
- Generalized Zero-Shot Recognition based on Visually Semantic Embedding - [[1811.07993](https://arxiv.org/abs/1811.07993)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.07993.md)].
- Scalable agent alignment via reward modeling: a research direction - [[1811.07871](https://arxiv.org/abs/1811.07871)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.07871.md)].
- On Hallucinating Context and Background Pixels from a Face Mask using   Multi-scale GANs - [[1811.07104](https://arxiv.org/abs/1811.07104)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.07104.md)].
- Grasp2Vec: Learning Object Representations from Self-Supervised Grasping - [[1811.06964](https://arxiv.org/abs/1811.06964)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.06964.md)].
- Reward learning from human preferences and demonstrations in Atari - [[1811.06521](https://arxiv.org/abs/1811.06521)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.06521.md)].
- CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling - [[1811.10996](https://arxiv.org/abs/1811.10996)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.10996.md)].
- Model Evaluation, Model Selection, and Algorithm Selection in Machine   Learning - [[1811.12808](https://arxiv.org/abs/1811.12808)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.12808.md)].
- Generative Dual Adversarial Network for Generalized Zero-shot Learning - [[1811.04857](https://arxiv.org/abs/1811.04857)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.04857.md)].
- Blockwise Parallel Decoding for Deep Autoregressive Models - [[1811.03115](https://arxiv.org/abs/1811.03115)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.03115.md)].
- Image Chat: Engaging Grounded Conversations - [[1811.00945](https://arxiv.org/abs/1811.00945)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.00945.md)].
- Persistent-Homology-based Machine Learning and its Applications -- A   Survey - [[1811.00252](https://arxiv.org/abs/1811.00252)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1811.00252.md)].

### October 2018
- Taking Human out of Learning Applications: A Survey on Automated Machine   Learning - [[1810.13306](https://arxiv.org/abs/1810.13306)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1810.13306.md)].
- Automatically Evolving CNN Architectures Based on Blocks - [[1810.11875](https://arxiv.org/abs/1810.11875)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1810.11875.md)].
- Image Inpainting via Generative Multi-column Convolutional Neural   Networks - [[1810.08771](https://arxiv.org/abs/1810.08771)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1810.08771.md)].
- Graph HyperNetworks for Neural Architecture Search - [[1810.05749](https://arxiv.org/abs/1810.05749)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1810.05749.md)].
- BERT: Pre-training of Deep Bidirectional Transformers for Language   Understanding - [[1810.04805](https://arxiv.org/abs/1810.04805)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1810.04805.md)].
- Robustness via Retrying: Closed-Loop Robotic Manipulation with   Self-Supervised Learning - [[1810.03043](https://arxiv.org/abs/1810.03043)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1810.03043.md)].

### September 2018
- Learning Long-Range Perception Using Self-Supervision from Short-Range   Sensors and Odometry - [[1809.07207](https://arxiv.org/abs/1809.07207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1809.07207.md)].
- TVQA: Localized, Compositional Video Question Answering - [[1809.01696](https://arxiv.org/abs/1809.01696)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1809.01696.md)].

### August 2018
- AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale - [[1808.10583](https://arxiv.org/abs/1808.10583)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1808.10583.md)].
- Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning - [[1808.09442](https://arxiv.org/abs/1808.09442)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1808.09442.md)].
- All You Need is "Love": Evading Hate-speech Detection - [[1808.09115](https://arxiv.org/abs/1808.09115)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1808.09115.md)].
- Everybody Dance Now - [[1808.07371](https://arxiv.org/abs/1808.07371)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1808.07371.md)].
- Pervasive Attention: 2D Convolutional Neural Networks for   Sequence-to-Sequence Prediction - [[1808.03867](https://arxiv.org/abs/1808.03867)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1808.03867.md)].
- Self-Supervised Model Adaptation for Multimodal Semantic Segmentation - [[1808.03833](https://arxiv.org/abs/1808.03833)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1808.03833.md)].
- Learning Actionable Representations from Visual Observations - [[1808.00928](https://arxiv.org/abs/1808.00928)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1808.00928.md)].
- Efficient Progressive Neural Architecture Search - [[1808.00391](https://arxiv.org/abs/1808.00391)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1808.00391.md)].

### July 2018
- Regional Multi-scale Approach for Visually Pleasing Explanations of Deep   Neural Networks - [[1807.11720](https://arxiv.org/abs/1807.11720)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1807.11720.md)].
- Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning - [[1807.11293](https://arxiv.org/abs/1807.11293)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1807.11293.md)].
- Diverse feature visualizations reveal invariances in early layers of   deep neural networks - [[1807.10589](https://arxiv.org/abs/1807.10589)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1807.10589.md)].
- Cross-lingual Argumentation Mining: Machine Translation (and a bit of   Projection) is All You Need! - [[1807.08998](https://arxiv.org/abs/1807.08998)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1807.08998.md)].
- Explaining Image Classifiers by Counterfactual Generation - [[1807.08024](https://arxiv.org/abs/1807.08024)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1807.08024.md)].
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and   Hyperparameter Search - [[1807.06906](https://arxiv.org/abs/1807.06906)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1807.06906.md)].
- Visual Reinforcement Learning with Imagined Goals - [[1807.04742](https://arxiv.org/abs/1807.04742)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1807.04742.md)].
- Representation Learning with Contrastive Predictive Coding - [[1807.03748](https://arxiv.org/abs/1807.03748)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1807.03748.md)].
- Talk the Walk: Navigating New York City through Grounded Dialogue - [[1807.03367](https://arxiv.org/abs/1807.03367)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1807.03367.md)].
- A Tutorial on Bayesian Optimization - [[1807.02811](https://arxiv.org/abs/1807.02811)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1807.02811.md)].

### June 2018
- A Benchmark for Interpretability Methods in Deep Neural Networks - [[1806.10758](https://arxiv.org/abs/1806.10758)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.10758.md)].
- This Looks Like That: Deep Learning for Interpretable Image Recognition - [[1806.10574](https://arxiv.org/abs/1806.10574)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.10574.md)].
- Video Inpainting by Jointly Learning Temporal Structure and Spatial   Details - [[1806.08482](https://arxiv.org/abs/1806.08482)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.08482.md)].
- RISE: Randomized Input Sampling for Explanation of Black-box Models - [[1806.07421](https://arxiv.org/abs/1806.07421)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.07421.md)].
- Self-Supervised Feature Learning by Learning to Spot Artifacts - [[1806.05024](https://arxiv.org/abs/1806.05024)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.05024.md)].
- Polynomial Regression As an Alternative to Neural Nets - [[1806.06850](https://arxiv.org/abs/1806.06850)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.06850.md)].
- Resource-Efficient Neural Architect - [[1806.07912](https://arxiv.org/abs/1806.07912)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.07912.md)].
- Auto-Meta: Automated Gradient Based Meta Learner Search - [[1806.06927](https://arxiv.org/abs/1806.06927)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.06927.md)].
- Free-Form Image Inpainting with Gated Convolution - [[1806.03589](https://arxiv.org/abs/1806.03589)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.03589.md)].
- Dank Learning: Generating Memes Using Deep Neural Networks - [[1806.04510](https://arxiv.org/abs/1806.04510)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.04510.md)].
- A Peek Into the Hidden Layers of a Convolutional Neural Network Through   a Factorization Lens - [[1806.02012](https://arxiv.org/abs/1806.02012)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.02012.md)].
- Soccer on Your Tabletop - [[1806.00890](https://arxiv.org/abs/1806.00890)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.00890.md)].

### May 2018
- Explaining Explanations: An Overview of Interpretability of Machine   Learning - [[1806.00069](https://arxiv.org/abs/1806.00069)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1806.00069.md)].
- How Important Is a Neuron? - [[1805.12233](https://arxiv.org/abs/1805.12233)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.12233.md)].
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning - [[1805.11724](https://arxiv.org/abs/1805.11724)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.11724.md)].
- AutoAugment: Learning Augmentation Policies from Data - [[1805.09501](https://arxiv.org/abs/1805.09501)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.09501.md)].
- Semantic Network Interpretation - [[1805.08969](https://arxiv.org/abs/1805.08969)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.08969.md)].
- Controlling Personality-Based Stylistic Variation with Neural Natural   Language Generators - [[1805.08352](https://arxiv.org/abs/1805.08352)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.08352.md)].
- Progressive Ensemble Networks for Zero-Shot Recognition - [[1805.07473](https://arxiv.org/abs/1805.07473)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.07473.md)].
- Unsupervised Learning of Neural Networks to Explain Neural Networks - [[1805.07468](https://arxiv.org/abs/1805.07468)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.07468.md)].
- A Theoretical Explanation for Perplexing Behaviors of   Backpropagation-based Visualizations - [[1805.07039](https://arxiv.org/abs/1805.07039)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.07039.md)].
- Fighting Fake News: Image Splice Detection via Learned Self-Consistency - [[1805.04096](https://arxiv.org/abs/1805.04096)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.04096.md)].
- SPG-Net: Segmentation Prediction and Guidance Network for Image   Inpainting - [[1805.03356](https://arxiv.org/abs/1805.03356)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.03356.md)].
- Unsupervised Feature Learning via Non-Parametric Instance-level   Discrimination - [[1805.01978](https://arxiv.org/abs/1805.01978)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.01978.md)].
- AGI Safety Literature Review - [[1805.01109](https://arxiv.org/abs/1805.01109)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.01109.md)].
- Learnable PINs: Cross-Modal Embeddings for Person Identity - [[1805.00833](https://arxiv.org/abs/1805.00833)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1805.00833.md)].

### April 2018
- How convolutional neural network see the world - A survey of   convolutional neural network visualization methods - [[1804.11191](https://arxiv.org/abs/1804.11191)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.11191.md)].
- FaceShop: Deep Sketch-based Face Image Editing - [[1804.08972](https://arxiv.org/abs/1804.08972)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.08972.md)].
- Subgoal Discovery for Hierarchical Dialogue Policy Learning - [[1804.07855](https://arxiv.org/abs/1804.07855)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.07855.md)].
- Image Inpainting for Irregular Holes Using Partial Convolutions - [[1804.07723](https://arxiv.org/abs/1804.07723)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.07723.md)].
- Audio-Visual Scene Analysis with Self-Supervised Multisensory Features - [[1804.03641](https://arxiv.org/abs/1804.03641)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.03641.md)].
- Bimonoidal Structure of Probability Monads - [[1804.03527](https://arxiv.org/abs/1804.03527)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.03527.md)].
- Deep Painterly Harmonization - [[1804.03189](https://arxiv.org/abs/1804.03189)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.03189.md)].
- The Sound of Pixels - [[1804.03160](https://arxiv.org/abs/1804.03160)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.03160.md)].
- Learning to Separate Object Sounds by Watching Unlabeled Video - [[1804.01665](https://arxiv.org/abs/1804.01665)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.01665.md)].
- Self-supervised Learning of Geometrically Stable Features Through   Probabilistic Introspection - [[1804.01552](https://arxiv.org/abs/1804.01552)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.01552.md)].
- The simple essence of automatic differentiation - [[1804.00746](https://arxiv.org/abs/1804.00746)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.00746.md)].

### March 2018
- Meta-Learning Update Rules for Unsupervised Representation Learning - [[1804.00222](https://arxiv.org/abs/1804.00222)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1804.00222.md)].
- MemGEN: Memory is All You Need - [[1803.11203](https://arxiv.org/abs/1803.11203)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1803.11203.md)].
- Structural inpainting - [[1803.10348](https://arxiv.org/abs/1803.10348)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1803.10348.md)].
- Learning Synergies between Pushing and Grasping with Self-supervised   Deep Reinforcement Learning - [[1803.09956](https://arxiv.org/abs/1803.09956)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1803.09956.md)].
- BAGAN: Data Augmentation with Balancing GAN - [[1803.09655](https://arxiv.org/abs/1803.09655)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1803.09655.md)].
- Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs - [[1803.08035](https://arxiv.org/abs/1803.08035)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1803.08035.md)].
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning   Challenge - [[1803.05457](https://arxiv.org/abs/1803.05457)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1803.05457.md)].
- Preserving Semantic Relations for Zero-Shot Learning - [[1803.03049](https://arxiv.org/abs/1803.03049)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1803.03049.md)].

### February 2018
- Relational Reasoning for Markov Chains in a Probabilistic Guarded Lambda   Calculus - [[1802.09787](https://arxiv.org/abs/1802.09787)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1802.09787.md)].
- Machine Theory of Mind - [[1802.07740](https://arxiv.org/abs/1802.07740)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1802.07740.md)].
- Diversity is All You Need: Learning Skills without a Reward Function - [[1802.06070](https://arxiv.org/abs/1802.06070)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1802.06070.md)].
- Multimodal Explanations: Justifying Decisions and Pointing to the   Evidence - [[1802.08129](https://arxiv.org/abs/1802.08129)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1802.08129.md)].
- On Characterizing the Capacity of Neural Networks using Algebraic   Topology - [[1802.04443](https://arxiv.org/abs/1802.04443)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1802.04443.md)].
- A Survey Of Methods For Explaining Black Box Models - [[1802.01933](https://arxiv.org/abs/1802.01933)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1802.01933.md)].
- Learning Image Representations by Completing Damaged Jigsaw Puzzles - [[1802.01880](https://arxiv.org/abs/1802.01880)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1802.01880.md)].
- The Matrix Calculus You Need For Deep Learning - [[1802.01528](https://arxiv.org/abs/1802.01528)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1802.01528.md)].
- Singularities in Einstein-conformally coupled Higgs cosmological models - [[1802.0774](https://arxiv.org/abs/1802.0774)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1802.0774.md)].
- Interpreting CNNs via Decision Trees - [[1802.00121](https://arxiv.org/abs/1802.00121)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1802.00121.md)].

### January 2018
- Shift-Net: Image Inpainting via Deep Feature Rearrangement - [[1801.09392](https://arxiv.org/abs/1801.09392)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1801.09392.md)].
- Understanding Deep Architectures by Visual Summaries - [[1801.09103](https://arxiv.org/abs/1801.09103)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1801.09103.md)].
- Generative Image Inpainting with Contextual Attention - [[1801.07892](https://arxiv.org/abs/1801.07892)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1801.07892.md)].
- Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters   in Deep Neural Networks - [[1801.03454](https://arxiv.org/abs/1801.03454)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1801.03454.md)].
</div></details>
<details open><summary><strong>2017</strong></summary><div>

### December 2017
- Beyond saliency: understanding convolutional neural networks from   saliency prediction on layer-wise relevance propagation - [[1712.08268](https://arxiv.org/abs/1712.08268)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1712.08268.md)].
- Objects that Sound - [[1712.06651](https://arxiv.org/abs/1712.06651)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1712.06651.md)].
- Visual Explanation by Interpretation: Improving Visual Feedback   Capabilities of Deep Neural Networks - [[1712.06302](https://arxiv.org/abs/1712.06302)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1712.06302.md)].
- Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram   Predictions - [[1712.05884](https://arxiv.org/abs/1712.05884)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1712.05884.md)].
- A Probability Monad as the Colimit of Spaces of Finite Samples - [[1712.05363](https://arxiv.org/abs/1712.05363)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1712.05363.md)].
- Geometry-Aware Learning of Maps for Camera Localization - [[1712.03342](https://arxiv.org/abs/1712.03342)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1712.03342.md)].
- Self-supervised Learning of Motion Capture - [[1712.01337](https://arxiv.org/abs/1712.01337)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1712.01337.md)].

### November 2017
- Interpretability Beyond Feature Attribution: Quantitative Testing with   Concept Activation Vectors (TCAV) - [[1711.11279](https://arxiv.org/abs/1711.11279)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1711.11279.md)].
- Deep Image Prior - [[1711.10925](https://arxiv.org/abs/1711.10925)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1711.10925.md)].
- Backprop as Functor: A compositional perspective on supervised learning - [[1711.10455](https://arxiv.org/abs/1711.10455)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1711.10455.md)].
- Population Based Training of Neural Networks - [[1711.09846](https://arxiv.org/abs/1711.09846)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1711.09846.md)].
- Distilling a Neural Network Into a Soft Decision Tree - [[1711.09784](https://arxiv.org/abs/1711.09784)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1711.09784.md)].
- Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic   Imagery - [[1711.09082](https://arxiv.org/abs/1711.09082)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1711.09082.md)].
- Contextual-based Image Inpainting: Infer, Match, and Translate - [[1711.08590](https://arxiv.org/abs/1711.08590)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1711.08590.md)].
- Improvements to context based self-supervised learning - [[1711.06379](https://arxiv.org/abs/1711.06379)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1711.06379.md)].
- Denotational validation of higher-order Bayesian inference - [[1711.03219](https://arxiv.org/abs/1711.03219)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1711.03219.md)].
- Hierarchical Representations for Efficient Architecture Search - [[1711.00436](https://arxiv.org/abs/1711.00436)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1711.00436.md)].

### October 2017
- Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks - [[1710.11063](https://arxiv.org/abs/1710.11063)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1710.11063.md)].
- Generalized End-to-End Loss for Speaker Verification - [[1710.10467](https://arxiv.org/abs/1710.10467)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1710.10467.md)].
- Dynamic Routing Between Capsules - [[1710.09829](https://arxiv.org/abs/1710.09829)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1710.09829.md)].
- Efficiently Trainable Text-to-Speech System Based on Deep Convolutional   Networks with Guided Attention - [[1710.08969](https://arxiv.org/abs/1710.08969)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1710.08969.md)].
- Distill-and-Compare: Auditing Black-Box Models Using Transparent Model   Distillation - [[1710.06169](https://arxiv.org/abs/1710.06169)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1710.06169.md)].
- Searching for Activation Functions - [[1710.05941](https://arxiv.org/abs/1710.05941)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1710.05941.md)].
- Generalization in Deep Learning - [[1710.05468](https://arxiv.org/abs/1710.05468)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1710.05468.md)].
- A systematic study of the class imbalance problem in convolutional   neural networks - [[1710.05381](https://arxiv.org/abs/1710.05381)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1710.05381.md)].
- Recent Advances in Zero-shot Recognition - [[1710.04837](https://arxiv.org/abs/1710.04837)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1710.04837.md)].
- Deep Learning for Case-Based Reasoning through Prototypes: A Neural   Network that Explains Its Predictions - [[1710.04806](https://arxiv.org/abs/1710.04806)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1710.04806.md)].

### September 2017
- Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces - [[1709.10163](https://arxiv.org/abs/1709.10163)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1709.10163.md)].
- Information structures and their cohomology - [[1709.07807](https://arxiv.org/abs/1709.07807)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1709.07807.md)].
- N2N Learning: Network to Network Compression via Policy Gradient   Reinforcement Learning - [[1709.06030](https://arxiv.org/abs/1709.06030)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1709.06030.md)].
- AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech   Recognition Baseline - [[1709.05522](https://arxiv.org/abs/1709.05522)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1709.05522.md)].
- ShapeCodes: Self-Supervised Feature Learning by Lifting Views to   Viewgrids - [[1709.00505](https://arxiv.org/abs/1709.00505)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1709.00505.md)].

### August 2017
- Disintegration and Bayesian Inversion via String Diagrams - [[1709.00322](https://arxiv.org/abs/1709.00322)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1709.00322.md)].
- Multi-task Self-Supervised Visual Learning - [[1708.07860](https://arxiv.org/abs/1708.07860)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1708.07860.md)].
- Twin Networks: Matching the Future for Sequence Generation - [[1708.06742](https://arxiv.org/abs/1708.06742)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1708.06742.md)].
- Representation Learning by Learning to Count - [[1708.06734](https://arxiv.org/abs/1708.06734)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1708.06734.md)].
- SMASH: One-Shot Model Architecture Search through HyperNetworks - [[1708.05344](https://arxiv.org/abs/1708.05344)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1708.05344.md)].
- Transitive Invariance for Self-supervised Visual Representation Learning - [[1708.02901](https://arxiv.org/abs/1708.02901)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1708.02901.md)].
- Localizing Moments in Video with Natural Language - [[1708.01641](https://arxiv.org/abs/1708.01641)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1708.01641.md)].
- CASSL: Curriculum Accelerated Self-Supervised Learning - [[1708.01354](https://arxiv.org/abs/1708.01354)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1708.01354.md)].
- Unsupervised Representation Learning by Sorting Sequences - [[1708.01246](https://arxiv.org/abs/1708.01246)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1708.01246.md)].

### July 2017
- Bottom-Up and Top-Down Attention for Image Captioning and Visual   Question Answering - [[1707.07998](https://arxiv.org/abs/1707.07998)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1707.07998.md)].
- Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad   and the Ugly - [[1707.00600](https://arxiv.org/abs/1707.00600)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1707.00600.md)].
- A Channel-Based Perspective on Conjugate Priors - [[1707.00269](https://arxiv.org/abs/1707.00269)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1707.00269.md)].

### June 2017
- Methods for Interpreting and Understanding Deep Neural Networks - [[1706.07979](https://arxiv.org/abs/1706.07979)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1706.07979.md)].
- SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning   Dynamics and Interpretability - [[1706.05806](https://arxiv.org/abs/1706.05806)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1706.05806.md)].
- SmoothGrad: removing noise by adding noise - [[1706.03825](https://arxiv.org/abs/1706.03825)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1706.03825.md)].
- Attention Is All You Need - [[1706.03762](https://arxiv.org/abs/1706.03762)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1706.03762.md)].
- Deep reinforcement learning from human preferences - [[1706.03741](https://arxiv.org/abs/1706.03741)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1706.03741.md)].

### May 2017
- Self-supervised learning of visual features through embedding images   into text topic spaces - [[1705.08631](https://arxiv.org/abs/1705.08631)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1705.08631.md)].
- Look, Listen and Learn - [[1705.08168](https://arxiv.org/abs/1705.08168)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1705.08168.md)].
- Learning how to explain neural networks: PatternNet and   PatternAttribution - [[1705.05598](https://arxiv.org/abs/1705.05598)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1705.05598.md)].
- TALL: Temporal Activity Localization via Language Query - [[1705.02101](https://arxiv.org/abs/1705.02101)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1705.02101.md)].
- Dense-Captioning Events in Videos - [[1705.00754](https://arxiv.org/abs/1705.00754)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1705.00754.md)].

### April 2017
- DeepArchitect: Automatically Designing and Training Deep Architectures - [[1704.08792](https://arxiv.org/abs/1704.08792)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1704.08792.md)].
- Unsupervised Learning of Depth and Ego-Motion from Video - [[1704.07813](https://arxiv.org/abs/1704.07813)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1704.07813.md)].
- Learning to Fly by Crashing - [[1704.05588](https://arxiv.org/abs/1704.05588)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1704.05588.md)].
- Unsupervised Learning by Predicting Noise - [[1704.05310](https://arxiv.org/abs/1704.05310)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1704.05310.md)].
- TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering - [[1704.04497](https://arxiv.org/abs/1704.04497)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1704.04497.md)].
- DeepPermNet: Visual Permutation Learning - [[1704.02729](https://arxiv.org/abs/1704.02729)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1704.02729.md)].
- Towards Building Large Scale Multimodal Domain-Aware Conversation   Systems - [[1704.00200](https://arxiv.org/abs/1704.00200)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1704.00200.md)].

### March 2017
- Tacotron: Towards End-to-End Speech Synthesis - [[1703.10135](https://arxiv.org/abs/1703.10135)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1703.10135.md)].
- Towards Automatic Learning of Procedures from Web Instructional Videos - [[1703.09788](https://arxiv.org/abs/1703.09788)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1703.09788.md)].
- Where to put the Image in an Image Caption Generator - [[1703.09137](https://arxiv.org/abs/1703.09137)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1703.09137.md)].
- Mask R-CNN - [[1703.06870](https://arxiv.org/abs/1703.06870)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1703.06870.md)].
- Combining Self-Supervised Learning and Imitation for Vision-Based Rope   Manipulation - [[1703.02018](https://arxiv.org/abs/1703.02018)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1703.02018.md)].
- All You Need is Beyond a Good Init: Exploring Better Solution for   Training Extremely Deep Convolutional Neural Networks with Orthonormality and   Modulation - [[1703.01827](https://arxiv.org/abs/1703.01827)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1703.01827.md)].

### February 2017
- Towards A Rigorous Science of Interpretable Machine Learning - [[1702.08608](https://arxiv.org/abs/1702.08608)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1702.08608.md)].
- Rationalization: A Neural Machine Translation Approach to Generating   Natural Language Explanations - [[1702.07826](https://arxiv.org/abs/1702.07826)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1702.07826.md)].
- Visualizing Deep Neural Network Decisions: Prediction Difference   Analysis - [[1702.04595](https://arxiv.org/abs/1702.04595)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1702.04595.md)].
- Face Aging With Conditional Generative Adversarial Networks - [[1702.01983](https://arxiv.org/abs/1702.01983)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1702.01983.md)].

### January 2017
- Interactive Learning from Policy-Dependent Human Feedback - [[1701.06049](https://arxiv.org/abs/1701.06049)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1701.06049.md)].
- A Convenient Category for Higher-Order Probability Theory - [[1701.02547](https://arxiv.org/abs/1701.02547)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1701.02547.md)].
- Unsupervised Learning of Long-Term Motion Dynamics for Videos - [[1701.01821](https://arxiv.org/abs/1701.01821)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1701.01821.md)].
</div></details>
<details open><summary><strong>2016</strong></summary><div>

### December 2016
- Unsupervised Perceptual Rewards for Imitation Learning - [[1612.06699](https://arxiv.org/abs/1612.06699)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1612.06699.md)].

### November 2016
- High-Resolution Image Inpainting using Multi-Scale Neural Patch   Synthesis - [[1611.09969](https://arxiv.org/abs/1611.09969)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1611.09969.md)].
- Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel   Prediction - [[1611.09842](https://arxiv.org/abs/1611.09842)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1611.09842.md)].
- Gaze Embeddings for Zero-Shot Image Classification - [[1611.09309](https://arxiv.org/abs/1611.09309)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1611.09309.md)].
- Visual Dialog - [[1611.08669](https://arxiv.org/abs/1611.08669)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1611.08669.md)].
- Multi-Task Zero-Shot Action Recognition with Prioritised Data   Augmentation - [[1611.08663](https://arxiv.org/abs/1611.08663)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1611.08663.md)].
- Self-Supervised Video Representation Learning With Odd-One-Out Networks - [[1611.06646](https://arxiv.org/abs/1611.06646)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1611.06646.md)].
- Learning a Deep Embedding Model for Zero-Shot Learning - [[1611.05088](https://arxiv.org/abs/1611.05088)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1611.05088.md)].

### October 2016
- Safety Verification of Deep Neural Networks - [[1610.06940](https://arxiv.org/abs/1610.06940)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1610.06940.md)].
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-based   Localization - [[1610.02391](https://arxiv.org/abs/1610.02391)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1610.02391.md)].
- Supervision via Competition: Robot Adversaries for Learning Tasks - [[1610.01685](https://arxiv.org/abs/1610.01685)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1610.01685.md)].

### September 2016
- Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the   Amazon Picking Challenge - [[1609.09475](https://arxiv.org/abs/1609.09475)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1609.09475.md)].

### July 2016
- Improving Semantic Embedding Consistency by Metric Learning for   Zero-Shot Classification - [[1607.08085](https://arxiv.org/abs/1607.08085)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1607.08085.md)].

### June 2016
- A Taxonomy and Library for Visualizing Learned Features in Convolutional   Neural Networks - [[1606.07757](https://arxiv.org/abs/1606.07757)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1606.07757.md)].
- Learning to Poke by Poking: Experiential Learning of Intuitive Physics - [[1606.07419](https://arxiv.org/abs/1606.07419)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1606.07419.md)].
- Concrete Problems in AI Safety - [[1606.06565](https://arxiv.org/abs/1606.06565)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1606.06565.md)].
- The Mythos of Model Interpretability - [[1606.03490](https://arxiv.org/abs/1606.03490)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1606.03490.md)].

### May 2016
- Adversarial Feature Learning - [[1605.09782](https://arxiv.org/abs/1605.09782)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1605.09782.md)].
- An Empirical Study and Analysis of Generalized Zero-Shot Learning for   Object Recognition in the Wild - [[1605.04253](https://arxiv.org/abs/1605.04253)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1605.04253.md)].
- Movie Description - [[1605.03705](https://arxiv.org/abs/1605.03705)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1605.03705.md)].
- Not Just a Black Box: Learning Important Features Through Propagating   Activation Differences - [[1605.01713](https://arxiv.org/abs/1605.01713)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1605.01713.md)].

### April 2016
- Context Encoders: Feature Learning by Inpainting - [[1604.07379](https://arxiv.org/abs/1604.07379)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1604.07379.md)].
- Joint Unsupervised Learning of Deep Representations and Image Clusters - [[1604.03628](https://arxiv.org/abs/1604.03628)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1604.03628.md)].
- The Curious Robot: Learning Visual Representations via Physical   Interactions - [[1604.01360](https://arxiv.org/abs/1604.01360)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1604.01360.md)].

### March 2016
- Colorful Image Colorization - [[1603.08511](https://arxiv.org/abs/1603.08511)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1603.08511.md)].
- Persistent self-supervised learning principle: from stereo to monocular   vision for obstacle avoidance - [[1603.08047](https://arxiv.org/abs/1603.08047)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1603.08047.md)].
- Unsupervised CNN for Single View Depth Estimation: Geometry to the   Rescue - [[1603.04992](https://arxiv.org/abs/1603.04992)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1603.04992.md)].
- XGBoost: A Scalable Tree Boosting System - [[1603.02754](https://arxiv.org/abs/1603.02754)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1603.02754.md)].

### February 2016
- A Probabilistic Dependent Type System based on Non-Deterministic Beta   Reduction - [[1602.06420](https://arxiv.org/abs/1602.06420)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1602.06420.md)].
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier - [[1602.04938](https://arxiv.org/abs/1602.04938)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1602.04938.md)].
</div></details>
<details open><summary><strong>2015</strong></summary><div>

### December 2015
- A Mathematical Theory of Deep Convolutional Neural Networks for Feature   Extraction - [[1512.06293](https://arxiv.org/abs/1512.06293)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1512.06293.md)].
- Deep Residual Learning for Image Recognition - [[1512.03385](https://arxiv.org/abs/1512.03385)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1512.03385.md)].
- MovieQA: Understanding Stories in Movies through Question-Answering - [[1512.02902](https://arxiv.org/abs/1512.02902)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1512.02902.md)].
- Explaining NonLinear Classification Decisions with Deep Taylor   Decomposition - [[1512.02479](https://arxiv.org/abs/1512.02479)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1512.02479.md)].

### November 2015
- A Type Theory for Probabilistic and Bayesian Reasoning - [[1511.09230](https://arxiv.org/abs/1511.09230)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1511.09230.md)].
- All you need is a good init - [[1511.06422](https://arxiv.org/abs/1511.06422)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1511.06422.md)].
- Unsupervised Deep Embedding for Clustering Analysis - [[1511.06335](https://arxiv.org/abs/1511.06335)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1511.06335.md)].

### October 2015
- A Primer on Neural Network Models for Natural Language Processing - [[1510.00726](https://arxiv.org/abs/1510.00726)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1510.00726.md)].

### September 2015
- Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700   Robot Hours - [[1509.06825](https://arxiv.org/abs/1509.06825)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1509.06825.md)].

### June 2015
- Inverting Visual Representations with Convolutional Networks - [[1506.02753](https://arxiv.org/abs/1506.02753)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1506.02753.md)].
- You Only Look Once: Unified, Real-Time Object Detection - [[1506.02640](https://arxiv.org/abs/1506.02640)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1506.02640.md)].
- Visualizing and Understanding Recurrent Networks - [[1506.02078](https://arxiv.org/abs/1506.02078)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1506.02078.md)].

### May 2015
- A Critical Review of Recurrent Neural Networks for Sequence Learning - [[1506.00019](https://arxiv.org/abs/1506.00019)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1506.00019.md)].
- Unsupervised Visual Representation Learning by Context Prediction - [[1505.05192](https://arxiv.org/abs/1505.05192)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1505.05192.md)].

### April 2015
- Fast R-CNN - [[1504.08083](https://arxiv.org/abs/1504.08083)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1504.08083.md)].

### March 2015
- Label-Embedding for Image Classification - [[1503.08677](https://arxiv.org/abs/1503.08677)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1503.08677.md)].
- LSTM: A Search Space Odyssey - [[1503.04069](https://arxiv.org/abs/1503.04069)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1503.04069.md)].

### February 2015
- Unsupervised Learning of Video Representations using LSTMs - [[1502.04681](https://arxiv.org/abs/1502.04681)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1502.04681.md)].
- Show, Attend and Tell: Neural Image Caption Generation with Visual   Attention - [[1502.03044](https://arxiv.org/abs/1502.03044)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1502.03044.md)].

### January 2015
- Transductive Multi-view Zero-Shot Learning - [[1501.04560](https://arxiv.org/abs/1501.04560)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1501.04560.md)].
- A Dataset for Movie Description - [[1501.02530](https://arxiv.org/abs/1501.02530)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1501.02530.md)].
</div></details>
<details open><summary><strong>2014</strong></summary><div>

### December 2014
- Adam: A Method for Stochastic Optimization - [[1412.6980](https://arxiv.org/abs/1412.6980)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1412.6980.md)].
- Object Detectors Emerge in Deep Scene CNNs - [[1412.6856](https://arxiv.org/abs/1412.6856)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1412.6856.md)].
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence   Modeling - [[1412.3555](https://arxiv.org/abs/1412.3555)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1412.3555.md)].

### November 2014
- Understanding Deep Image Representations by Inverting Them - [[1412.0035](https://arxiv.org/abs/1412.0035)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1412.0035.md)].
- Frequentism and Bayesianism: A Python-driven Primer - [[1411.5018](https://arxiv.org/abs/1411.5018)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1411.5018.md)].
- Show and Tell: A Neural Image Caption Generator - [[1411.4555](https://arxiv.org/abs/1411.4555)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1411.4555.md)].

### September 2014
- Computable Stochastic Processes - [[1409.4667](https://arxiv.org/abs/1409.4667)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1409.4667.md)].
- On the Properties of Neural Machine Translation: Encoder-Decoder   Approaches - [[1409.1259](https://arxiv.org/abs/1409.1259)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1409.1259.md)].

### May 2014
- Microsoft COCO: Common Objects in Context - [[1405.0312](https://arxiv.org/abs/1405.0312)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1405.0312.md)].

### April 2014
- A Tutorial on Principal Component Analysis - [[1404.1100](https://arxiv.org/abs/1404.1100)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1404.1100.md)].
</div></details>
<details open><summary><strong>2013</strong></summary><div>

### December 2013
- Deep Inside Convolutional Networks: Visualising Image Classification   Models and Saliency Maps - [[1312.6034](https://arxiv.org/abs/1312.6034)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1312.6034.md)].
- Bayesian machine learning via category theory - [[1312.1445](https://arxiv.org/abs/1312.1445)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1312.1445.md)].

### November 2013
- Visualizing and Understanding Convolutional Networks - [[1311.2901](https://arxiv.org/abs/1311.2901)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1311.2901.md)].
- Rich feature hierarchies for accurate object detection and semantic   segmentation - [[1311.2524](https://arxiv.org/abs/1311.2524)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1311.2524.md)].

### September 2013
- Peeking Inside the Black Box: Visualizing Statistical Learning with   Plots of Individual Conditional Expectation - [[1309.6392](https://arxiv.org/abs/1309.6392)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1309.6392.md)].
</div></details>
<details open><summary><strong>2012</strong></summary><div>

### June 2012
- Representation Learning: A Review and New Perspectives - [[1206.5538](https://arxiv.org/abs/1206.5538)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1206.5538.md)].
</div></details>
<details open><summary><strong>2010</strong></summary><div>

### November 2010
- Classifying Clustering Schemes - [[1011.5270](https://arxiv.org/abs/1011.5270)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/1011.5270.md)].
</div></details>
<details open><summary><strong>2009</strong></summary><div>

### September 2009
- Chaos in Partial Differential Equations - [[0909.0910](https://arxiv.org/abs/0909.0910)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/0909.0910.md)].

### August 2009
- Sparse Canonical Correlation Analysis - [[0908.2724](https://arxiv.org/abs/0908.2724)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/0908.2724.md)].
</div></details>