Continual Learning: Surveys

• A comprehensive survey of continual learning: Theory, method and application

• Embracing Change: Continual Learning in Deep Neural Networks 

• How to reuse and compose knowledge for a lifetime of tasks: A survey on continual learning and functional composition

• Towards Continual Reinforcement Learning: A Review and Perspectives 

• Continual Learning with Deep Architectures (tutorial by Irina Rish and Vincenzo Lomonaco, ICML 2021)

• Continual lifelong learning with neural networks: A review

• Continual learning: A comparative study on how to defy forgetting in classification tasks

• A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning 

• Class-incremental learning: survey and performance evaluation

• Measuring Catastrophic Forgetting in Neural Networks 

• Never-Ending Learning (tutorial by Tom Mitchell and Partha Talukdar, ICML 2019)

• Continual task learning in natural and artificial agents

• An Introduction to Lifelong Supervised Learning

Book (1st book on the topic): Lifelong Machine Learning

Continual Learning @ Scale

• Continual Pre-Training of Large Language Models: How to re-warm your model?  (ICML ES-FoMo workshop 2023)

• Human-Timescale Adaptation in an Open-Ended Task Space

• Fine-tuned Language Models are Continual Learners (aka Continual T0) (EMNLP 2022)

• Effect of scale on catastrophic forgetting in neural networks  (ICLR 2022)

• An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

• Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers

• Improving language models fine-tuning with representation consistency targets

• Foundational Models for Continual Learning: An Empirical Study of Latent Replay

• Effects of Model and Prior Learning Scale on Catastrophic Forgetting 

• Don’t Stop Learning: Towards Continual Learning for the CLIP Model 

Continual Learning in NLP

• Continual Lifelong Learning in Natural Language Processing: A Survey (COLING 2020)

• Drinking from a Firehose: Continual Learning with Web-scale Natural Language  (TPAMI 2023)

• Pretrained Language Model in Continual Learning: A Comparative Study,   (ICLR, 2022) 

• Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models

• LAMOL: LAnguage MOdeling for Lifelong Language Learning (ICLR 2020)

• TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models (2022)

• Towards Continual Knowledge Learning of Language Models

• Continual Pre-training of Language Models (ICLR 2023 )

• Episodic memory in lifelong language learning (Neurips 2019)

• Recall and learn: Fine-tuning deep pretrained language models with less forgetting 

• Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora

• Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning  (Neurips 2021)

• On Anytime Learning at Macroscale (CoLLas 2022)

Continual Learning in NLP

• Continual Lifelong Learning in Natural Language Processing: A Survey (COLING 2020)

• Drinking from a Firehose: Continual Learning with Web-scale Natural Language  (TPAMI 2023)

• Pretrained Language Model in Continual Learning: A Comparative Study,   (ICLR, 2022) 

• Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models

• LAMOL: LAnguage MOdeling for Lifelong Language Learning (ICLR 2020)

• TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models (2022)

• Towards Continual Knowledge Learning of Language Models

• Continual Pre-training of Language Models (ICLR 2023 )

• Episodic memory in lifelong language learning (Neurips 2019)

• Recall and learn: Fine-tuning deep pretrained language models with less forgetting 

• Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora

• Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning  (Neurips 2021)

• On Anytime Learning at Macroscale (CoLLas 2022)

Misc

• Learning to prompt for continual learning

• Wide neural networks forget less catastrophically

• Architecture matters in continual learning

• A Closer Look at Rehearsal-Free Continual Learning

• Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

• The Effect of Task Ordering in Continual Learning

• Continual Pre-Training Mitigates Forgetting in Language and Vision

• Online Continual Learning with Declarative Memory