Related work

The foundational work on continual learning, 1991 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

645 papers of 4,574 · showing 351–400Sort Recent · Most cited
  1. 2023
    Rebalancing Batch Normalization for Exemplar-Based Class-Incremental LearningSungmin Cha, Sungjun Cho, Dasol Hwang … Taesup MoonCVPR · Seoul National University · University of Illinois Chicago
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  2. 2023
    Exploring Data Geometry for Continual LearningZhi Gao, Chen Xu, Feng Li … Yuwei WuCVPR · Beijing Institute of Technology · Shenzhen University · +3
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  3. 2023
    Task Difficulty Aware Parameter Allocation & Regularization for Lifelong LearningWenjin Wang, Yunqing Hu, Qianglong Chen, Yin ZhangCVPR · Zhejiang University
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  4. 2023
    Foundation Model Drives Weakly Incremental Learning for Semantic SegmentationChaohui Yu, Qiang Zhou, Jingliang Li … Fan WangCVPR · Alibaba Group (United States) · University of Chinese Academy of Sciences
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  5. 2023
    À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable PromptingBenjamin Bowman, Alessandro Achille, Luca Zancato … Stefano SoattoCVPR
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  6. 2023
    Preserving Linear Separability in Continual Learning by Backward Feature ProjectionQiao Gu, Dongsub Shim, Florian ShkurtiCVPR · University of Toronto
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  7. 2023
    D3Former: Debiased Dual Distilled Transformer for Incremental LearningAbdelrahman Mohamed, Rushali Grandhe, K. J. Joseph … Fahad Shahbaz KhanCVPR · Mohamed bin Zayed University of Artificial Intelligence · Adobe Systems (United States) · +1
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  8. 2023PDF ↗
  9. 2023
    Just a Glimpse: Rethinking Temporal Information for Video Continual LearningLama Alssum, Juan León Alcázar, Merey Ramazanova … Bernard GhanemCVPR · King Abdullah University of Science and Technology
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  10. 2023
    Heterogeneous Continual LearningDivyam Madaan, Hongxu Yin, Wonmin Byeon … Pavlo MolchanovCVPR · New York University
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  11. 2023
    Lifelong Dual Generative Adversarial Nets Learning in TandemFei Ye, Adrian G. BorşIEEE Trans. Cybernetics · University of York
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  12. 2023
    CLVOS23: A Long Video Object Segmentation Dataset for Continual LearningAmir Nazemi, Zeyad Moustafa, Paul FieguthCVPR · University of Waterloo
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  13. 2023
    Continual Domain Adaptation through Pruning-aided Domain-specific Weight ModulationB Prasanna, Sunandini Sanyal, R. Venkatesh BabuCVPR · Indian Institute of Science Bangalore
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  14. 2023
    Density Map Distillation for Incremental Object CountingChenshen Wu, Joost van de WeijerCVPR · Barcelona Supercomputing Center · Computer Vision Center
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  15. 2023PDF ↗
  16. 2023
    Batch Model Consolidation: A Multi-Task Model Consolidation FrameworkIordanis Fostiropoulos, Jiaye Zhu, Laurent IttiCVPR · University of Southern California
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  17. 2023
    Simulating Task-Free Continual Learning Streams From Existing DatasetsAristotelis Chrysakis, Marie‐Francine MoensCVPR · KU Leuven
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  18. 2023
    The Tunnel Effect: Building Data Representations in Deep Neural NetworksWojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani … T. P. TrzcinskiNeurIPS
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  19. 2023
    On Sequential Bayesian Inference for Continual LearningSamuel Kessler, Adam D. Cobb, Tim G. J. Rudner … Stephen RobertsEntropy · University of Oxford · SRI International
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  20. 2023
    RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental SegmentationSubhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane LarlusCoLLAs · Télécom Paris
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  21. 2023PDF ↗
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  23. 2023
    Few-shot Class-incremental Audio Classification Using Adaptively-refined PrototypesWei Xie, Yanxiong Li, Qianhua He … Tuomas VirtanenInterspeech
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  24. 2023
    Continual Task Allocation in Meta-Policy Network via Sparse PromptingYijun Yang, Tianyi Zhou, Jing Jiang … Yuhui ShiICML
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  25. 2023
    Explain What You See: Open-Ended Segmentation and Recognition of Occluded 3D ObjectsHamed Ayoobi, H. Kasaei, Ming Cao … Bart VerheijICRA · University of Groningen · Imperial College London
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  26. 2023
    Streaming LifeLong Learning With Any-Time InferenceSoumya Banerjee, Vinay Kumar Verma, Vinay P. NamboodiriICRA · Indian Institute of Technology Kanpur · Duke University · +1
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  27. 2023
    Backdoor Attacks Against Incremental Learners: An Empirical Evaluation StudyYiqi Zhong, Xianming Liu, Deming Zhai … Xiangyang JiarXiv
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  28. 2023PDF ↗
  29. 2023
    Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental LearningIn-Ug Yoon, Tae-Min Choi, Youngmin Kim, Jong-Hwan KimarXiv
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  30. 2023
    Mitigating Catastrophic Forgetting in Long Short-Term Memory NetworksKetaki Joshi, Raghavendra Pradyumna Pothukuchi, Andre Wibisono, Abhishek BhattacharjeearXiv
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  31. 2023
    Overcoming Catastrophic Forgetting in Massively Multilingual Continual LearningGenta Indra Winata, Lingjue Xie, Karthik Radhakrishnan … Daniel Preoţiuc-PietroACL
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  32. 2023
    Few-Shot Class-Incremental Audio Classification Using Dynamically Expanded Classifier With Self-Attention Modified PrototypesYanxiong Li, Wenchang Cao, Wei Xie … Emmanouil BenetosIEEE Trans. Multimedia · South China University of Technology · Queen Mary University of London
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  33. 2023
    Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World EnvironmentsThanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj, Khoa LuuNeurIPS
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  34. 2023
    Condensed Prototype Replay for Class Incremental LearningJiangtao Kong, Zhenyu Zong, Tianyi Zhou, Huajie ShaoarXiv
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  35. 2023
    Deep Reinforcement Learning with Plasticity InjectionEvgenii Nikishin, Junhyuk Oh, Georg Ostrovski … André Sales BarretoNeurIPS
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  36. 2023
    Lightweight Learner for Shared Knowledge Lifelong LearningYunhao Ge, Yuecheng Li, Di Wu … Laurent IttiTMLR
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  37. 2023
    IBCL: Zero-shot Model Generation under Stability-Plasticity Trade-offsPengyuan Lu, Michele Caprio, Eric Eaton, Inseop LeearXiv
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  38. 2023
    Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data CurationDa Yin, Xiao Liu, Fan Yin … Kai-Wei ChangEMNLP
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  39. 2023
    Continual Learning with Strong Experience ReplayTao Zhuo, Zhiyong Cheng, Zan Gao … Kankanhalli, MohanarXiv
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  40. 2023
    Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language UnderstandingUmberto Cappellazzo, Muqiao Yang, Daniele Falavigna, Alessio BruttiInterspeech
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  41. 2023
    Continual Dialogue State Tracking via Example-Guided Question AnsweringHyundong Cho, Andrea Madotto, Zhaojiang Lin … Chinnadhurai SankarEMNLP
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  42. 2023PDF ↗
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  44. 2023
    AI Autonomy: Self-initiated Open-world Continual Learning and AdaptationBing Liu, Sahisnu Mazumder, Eric Robertson, Scott S. GrigsbyAI Magazine · University of Illinois Chicago · Intelligent Systems Research (United States) · +2
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  45. 2023
    Lifelong Language Pretraining with Distribution-Specialized ExpertsWuyang Chen, Yanqi Zhou, Nan Du … C. C. Iuras ̧cuICML
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  46. 2023PDF ↗
  47. 2023
    Continual Learning with Invertible Generative ModelsJary Pomponi, Simone Scardapane, Aurelio UnciniNeural Networks · Sapienza University of Rome
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  48. 2023
    Mode-Aware Continual Learning for Conditional Generative Adversarial NetworksCat P. Le, Juncheng Dong, Ahmed Aloui, Vahid TarokharXiv
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  49. 2023PDF ↗
  50. 2023PDF ↗
About this index

We keep this list because we read the field and wanted one place to see it. It covers work on continual learning itself, in the core areas of machine learning, and leaves out papers that apply it inside another field, such as medical imaging or fault diagnosis. It lists only papers we have a reason to trust: published at a venue like NeurIPS, ICML, ICLR, CVPR or TPAMI, or led by someone who has published there, or cited a few hundred times, and only papers with a PDF we can point you at, so every title opens the paper itself. Preprints that later get accepted, and authors who later publish at those venues, are picked up by the weekly run. It is seeded from the community lists kept by ContinualAI and by Xialei Liu, then filled out from OpenAlex, and every week a script looks for new papers on OpenAlex and arXiv. A model reads each candidate and decides whether it belongs; a person reviews the additions before they go live. Authors and affiliations come from OpenAlex, so a recent preprint can lack its institutions for a week or two.

Missing something, or filed under the wrong venue? Write to hello@unify.ai with the arXiv id or DOI.