stereoplegic
's Collections
Continual learning
updated
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation
and Generalization
Paper
•
2310.10134
•
Published
•
1
TiC-CLIP: Continual Training of CLIP Models
Paper
•
2310.16226
•
Published
•
8
In-Context Pretraining: Language Modeling Beyond Document Boundaries
Paper
•
2310.10638
•
Published
•
28
Controlled Decoding from Language Models
Paper
•
2310.17022
•
Published
•
14
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for
Fact Verification
Paper
•
2212.05276
•
Published
•
1
Paper
•
2203.08913
•
Published
•
2
Commonsense Knowledge Transfer for Pre-trained Language Models
Paper
•
2306.02388
•
Published
•
1
Towards Adversarially Robust Continual Learning
Paper
•
2303.17764
•
Published
•
1
Visual Programming: Compositional visual reasoning without training
Paper
•
2211.11559
•
Published
•
1
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive
Learning for Code Generation
Paper
•
2310.18628
•
Published
•
7
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language
Modeling Likewise
Paper
•
2310.19019
•
Published
•
9
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive
Prompt-Based Few-Shot Fine-Tuning
Paper
•
2305.18169
•
Published
•
1
Augmented Large Language Models with Parametric Knowledge Guiding
Paper
•
2305.04757
•
Published
•
2
Knowledge-Augmented Reasoning Distillation for Small Language Models in
Knowledge-Intensive Tasks
Paper
•
2305.18395
•
Published
•
1
Continual Learning via Neural Pruning
Paper
•
1903.04476
•
Published
•
1
A Deep Learning Framework for Lifelong Machine Learning
Paper
•
2105.00157
•
Published
•
1
Continual Lifelong Learning with Neural Networks: A Review
Paper
•
1802.07569
•
Published
•
1
Lifelong Inverse Reinforcement Learning
Paper
•
2207.00461
•
Published
•
1
Towards Anytime Fine-tuning: Continually Pre-trained Language Models
with Hypernetwork Prompt
Paper
•
2310.13024
•
Published
•
1
Challenges and Opportunities of Using Transformer-Based Multi-Task
Learning in NLP Through ML Lifecycle: A Survey
Paper
•
2308.08234
•
Published
•
1
Multi-task Active Learning for Pre-trained Transformer-based Models
Paper
•
2208.05379
•
Published
•
1
Ziya2: Data-centric Learning is All LLMs Need
Paper
•
2311.03301
•
Published
•
16
Continual Pre-training of Language Models
Paper
•
2302.03241
•
Published
•
2
Towards Continual Knowledge Learning of Language Models
Paper
•
2110.03215
•
Published
•
1
Lifelong Pretraining: Continually Adapting Language Models to Emerging
Corpora
Paper
•
2110.08534
•
Published
•
1
Guiding Pretraining in Reinforcement Learning with Large Language Models
Paper
•
2302.06692
•
Published
•
1
AF Adapter: Continual Pretraining for Building Chinese Biomedical
Language Model
Paper
•
2211.11363
•
Published
•
1
Improving Language Plasticity via Pretraining with Active Forgetting
Paper
•
2307.01163
•
Published
•
6
The Life Cycle of Knowledge in Big Language Models: A Survey
Paper
•
2303.07616
•
Published
•
1
Two Complementary Perspectives to Continual Learning: Ask Not Only What
to Optimize, But Also How
Paper
•
2311.04898
•
Published
•
1
CODA-Prompt: COntinual Decomposed Attention-based Prompting for
Rehearsal-Free Continual Learning
Paper
•
2211.13218
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Published
•
1
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Paper
•
2308.10445
•
Published
•
1
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Paper
•
2309.07117
•
Published
•
2
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a
Pre-trained Model
Paper
•
2303.05118
•
Published
•
1
A Simple Baseline that Questions the Use of Pretrained-Models in
Continual Learning
Paper
•
2210.04428
•
Published
•
1
A soft nearest-neighbor framework for continual semi-supervised learning
Paper
•
2212.05102
•
Published
•
1
Avalanche: an End-to-End Library for Continual Learning
Paper
•
2104.00405
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Published
•
1
SequeL: A Continual Learning Library in PyTorch and JAX
Paper
•
2304.10857
•
Published
•
1
Architecture Matters in Continual Learning
Paper
•
2202.00275
•
Published
•
1
Accelerating Batch Active Learning Using Continual Learning Techniques
Paper
•
2305.06408
•
Published
•
1
ExpeL: LLM Agents Are Experiential Learners
Paper
•
2308.10144
•
Published
•
2
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
Paper
•
2309.14763
•
Published
•
1
A Unified Continual Learning Framework with General Parameter-Efficient
Tuning
Paper
•
2303.10070
•
Published
•
1
A Comprehensive Empirical Evaluation on Online Continual Learning
Paper
•
2308.10328
•
Published
•
1
Generative Models from the perspective of Continual Learning
Paper
•
1812.09111
•
Published
•
1
Continual Learning for Monolingual End-to-End Automatic Speech
Recognition
Paper
•
2112.09427
•
Published
•
1
Efficient Model Adaptation for Continual Learning at the Edge
Paper
•
2308.02084
•
Published
•
1
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired
Continual Learning
Paper
•
2305.18563
•
Published
•
1
On the Effectiveness of Equivariant Regularization for Robust Online
Continual Learning
Paper
•
2305.03648
•
Published
•
1
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual
Learning
Paper
•
2309.15038
•
Published
•
1
Rethinking Momentum Knowledge Distillation in Online Continual Learning
Paper
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2309.02870
•
Published
•
1
Continual Learning with Strong Experience Replay
Paper
•
2305.13622
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Published
•
1
Does Continual Learning Equally Forget All Parameters?
Paper
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2304.04158
•
Published
•
1
A Wholistic View of Continual Learning with Deep Neural Networks:
Forgotten Lessons and the Bridge to Active and Open World Learning
Paper
•
2009.01797
•
Published
•
1
Overcoming the Stability Gap in Continual Learning
Paper
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2306.01904
•
Published
•
2
Improving Online Continual Learning Performance and Stability with
Temporal Ensembles
Paper
•
2306.16817
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Published
•
1
Neural Architecture for Online Ensemble Continual Learning
Paper
•
2211.14963
•
Published
•
1
Domain-Agnostic Neural Architecture for Class Incremental Continual
Learning in Document Processing Platform
Paper
•
2307.05399
•
Published
•
1
ICICLE: Interpretable Class Incremental Continual Learning
Paper
•
2303.07811
•
Published
•
1
Energy-Based Models for Continual Learning
Paper
•
2011.12216
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Published
•
1
Revisiting Softmax Masking for Stability in Continual Learning
Paper
•
2309.14808
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Published
•
1
Model Zoo: A Growing "Brain" That Learns Continually
Paper
•
2106.03027
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Published
•
1
TAME: Task Agnostic Continual Learning using Multiple Experts
Paper
•
2210.03869
•
Published
•
1
Incremental Task Learning with Incremental Rank Updates
Paper
•
2207.09074
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Published
•
1
Beyond Not-Forgetting: Continual Learning with Backward Knowledge
Transfer
Paper
•
2211.00789
•
Published
•
1
IF2Net: Innately Forgetting-Free Networks for Continual Learning
Paper
•
2306.10480
•
Published
•
1
Preserving Linear Separability in Continual Learning by Backward Feature
Projection
Paper
•
2303.14595
•
Published
•
2
Continual Learning with Pretrained Backbones by Tuning in the Input
Space
Paper
•
2306.02947
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Published
•
1
Continual Learning with Dependency Preserving Hypernetworks
Paper
•
2209.07712
•
Published
•
1
GateON: an unsupervised method for large scale continual learning
Paper
•
2306.01690
•
Published
•
1
Loss of Plasticity in Deep Continual Learning
Paper
•
2306.13812
•
Published
•
1
Utility-based Perturbed Gradient Descent: An Optimizer for Continual
Learning
Paper
•
2302.03281
•
Published
•
1
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
Paper
•
2307.11386
•
Published
•
1
On Sequential Bayesian Inference for Continual Learning
Paper
•
2301.01828
•
Published
•
1
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual
Learning
Paper
•
2305.14782
•
Published
•
1
Momentum-based Weight Interpolation of Strong Zero-Shot Models for
Continual Learning
Paper
•
2211.03186
•
Published
•
1
Big-model Driven Few-shot Continual Learning
Paper
•
2309.00862
•
Published
•
1
Learn the Time to Learn: Replay Scheduling in Continual Learning
Paper
•
2209.08660
•
Published
•
1
PCR: Proxy-based Contrastive Replay for Online Class-Incremental
Continual Learning
Paper
•
2304.04408
•
Published
•
1
DualMix: Unleashing the Potential of Data Augmentation for Online
Class-Incremental Learning
Paper
•
2303.07864
•
Published
•
1
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot
Text Classification Tasks
Paper
•
2305.13547
•
Published
•
1
Robust Active Distillation
Paper
•
2210.01213
•
Published
•
1
Continual Learning with Adaptive Weights (CLAW)
Paper
•
1911.09514
•
Published
•
1
Continual Semi-Supervised Learning through Contrastive Interpolation
Consistency
Paper
•
2108.06552
•
Published
•
1
Sy-CON: Symmetric Contrastive Loss for Continual Self-Supervised
Representation Learning
Paper
•
2306.05101
•
Published
•
1
Contrastive Learning for Online Semi-Supervised General Continual
Learning
Paper
•
2207.05615
•
Published
•
1
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
Paper
•
2309.04081
•
Published
•
1
Proxy Anchor-based Unsupervised Learning for Continuous Generalized
Category Discovery
Paper
•
2307.10943
•
Published
•
1
Improving Continual Relation Extraction through Prototypical Contrastive
Learning
Paper
•
2210.04513
•
Published
•
1
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
Paper
•
2305.04769
•
Published
•
1
Relational Experience Replay: Continual Learning by Adaptively Tuning
Task-wise Relationship
Paper
•
2112.15402
•
Published
•
1
Offline Experience Replay for Continual Offline Reinforcement Learning
Paper
•
2305.13804
•
Published
•
1
Continual evaluation for lifelong learning: Identifying the stability
gap
Paper
•
2205.13452
•
Published
•
1
A multifidelity approach to continual learning for physical systems
Paper
•
2304.03894
•
Published
•
1
Statistical mechanics of continual learning: variational principle and
mean-field potential
Paper
•
2212.02846
•
Published
•
1
A Closer Look at Rehearsal-Free Continual Learning
Paper
•
2203.17269
•
Published
•
1
On Anytime Learning at Macroscale
Paper
•
2106.09563
•
Published
•
1
Learning an evolved mixture model for task-free continual learning
Paper
•
2207.05080
•
Published
•
1
MASIL: Towards Maximum Separable Class Representation for Few Shot Class
Incremental Learning
Paper
•
2304.05362
•
Published
•
1
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Paper
•
2209.07529
•
Published
•
1
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong
Learning
Paper
•
2304.05288
•
Published
•
1
Progressive Learning without Forgetting
Paper
•
2211.15215
•
Published
•
1
Exemplar-free Continual Learning of Vision Transformers via Gated
Class-Attention and Cascaded Feature Drift Compensation
Paper
•
2211.12292
•
Published
•
1
Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation
Paper
•
2303.06015
•
Published
•
1
Forget-free Continual Learning with Soft-Winning SubNetworks
Paper
•
2303.14962
•
Published
•
1
Exclusive Supermask Subnetwork Training for Continual Learning
Paper
•
2210.10209
•
Published
•
1
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Paper
•
2305.18444
•
Published
•
1
SparCL: Sparse Continual Learning on the Edge
Paper
•
2209.09476
•
Published
•
1
Continual Learning with Dynamic Sparse Training: Exploring Algorithms
for Effective Model Updates
Paper
•
2308.14831
•
Published
•
1
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Paper
•
2305.17691
•
Published
•
1
Skill-it! A Data-Driven Skills Framework for Understanding and Training
Language Models
Paper
•
2307.14430
•
Published
•
3
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
Paper
•
2310.02304
•
Published
•
1
Towards Teachable Conversational Agents
Paper
•
2102.10387
•
Published
•
1
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with
Knowledge Sparkle Dust
Paper
•
2305.07230
•
Published
•
1
Bayesian active learning for production, a systematic study and a
reusable library
Paper
•
2006.09916
•
Published
•
1
Continual Learning: Applications and the Road Forward
Paper
•
2311.11908
•
Published
•
1
Continual Learning with Low Rank Adaptation
Paper
•
2311.17601
•
Published
•
1
Continual Model-Based Reinforcement Learning with Hypernetworks
Paper
•
2009.11997
•
Published
•
1
Continual learning with hypernetworks
Paper
•
1906.00695
•
Published
•
1
Orthogonal Subspace Learning for Language Model Continual Learning
Paper
•
2310.14152
•
Published
•
2
Ada-QPacknet -- adaptive pruning with bit width reduction as an
efficient continual learning method without forgetting
Paper
•
2308.07939
•
Published
•
1
On the Usage of Continual Learning for Out-of-Distribution
Generalization in Pre-trained Language Models of Code
Paper
•
2305.04106
•
Published
•
1
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech
Recognition at Production Scale
Paper
•
2207.09078
•
Published
•
1
Deep Lifelong Cross-modal Hashing
Paper
•
2304.13357
•
Published
•
1
Simple and Scalable Strategies to Continually Pre-train Large Language
Models
Paper
•
2403.08763
•
Published
•
49
Hard ASH: Sparsity and the right optimizer make a continual learner
Paper
•
2404.17651
•
Published
HyperInterval: Hypernetwork approach to training weight interval regions
in continual learning
Paper
•
2405.15444
•
Published
On Sequential Loss Approximation for Continual Learning
Paper
•
2405.16498
•
Published
Learning Continually by Spectral Regularization
Paper
•
2406.06811
•
Published
Lifelong Machine Learning Potentials
Paper
•
2303.05911
•
Published