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Collections including paper arxiv:2404.11565

LLM+Architecture

MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

Paper • 2404.11565 • Published Apr 17 • 14
Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models

Paper • 2406.06563 • Published Jun 3 • 17
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17 • 56

AniClipart: Clipart Animation with Text-to-Video Priors

Paper • 2404.12347 • Published Apr 18 • 12
MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

Paper • 2404.11565 • Published Apr 17 • 14
Dynamic Typography: Bringing Words to Life

Paper • 2404.11614 • Published Apr 17 • 41
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2 • 22

Papers - Attention - Mixture-of-Attention (MoA)

MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

Paper • 2404.11565 • Published Apr 17 • 14

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Paper • 2403.06775 • Published Mar 11 • 3
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 6
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Paper • 2110.07040 • Published Oct 13, 2021 • 2
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks

Paper • 1811.00056 • Published Oct 31, 2018 • 2

Papers - Attention

Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Paper • 2402.10644 • Published Feb 16 • 78
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Paper • 2305.13245 • Published May 22, 2023 • 5
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23 • 19
Sequence Parallelism: Long Sequence Training from System Perspective

Paper • 2105.13120 • Published May 26, 2021 • 5

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17 • 8
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18 • 15
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19 • 58
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24 • 71

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