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 451–500Sort Recent · Most cited
  1. 2023
    CoSDA: Continual Source-Free Domain AdaptationHaozhe Feng, Zhaorui Yang, Hesun Chen … Shuicheng YanarXiv
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  2. 2023PDF ↗
  3. 2023
    PointCLIMB: An Exemplar-Free Point Cloud Class Incremental BenchmarkShivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma MudenagudiarXiv
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  4. 2023
    Taxonomic Class Incremental LearningYuzhao Chen, Zonghuan Li, Zhiyuan Hu, Nuno VasconcelosarXiv
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  5. 2023PDF ↗
  6. 2023
    Does Continual Learning Equally Forget All Parameters?Haiyan Zhao, Tianyi Zhou, Guodong Long … Chengqi ZhangICML
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  7. 2023PDF ↗
  8. 2023
    I2I: Initializing Adapters with Improvised KnowledgeTejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse ThomasonCoLLAs
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  9. 2023
    Online Distillation with Continual Learning for Cyclic Domain ShiftsJoachim Houyon, A. Cioppa, Yasir Ghunaim … Marc Van DroogenbroeckCVPR
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  10. 2023
    FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at EdgeYaxin Luopan, Rui Han, Qinglong Zhang … Lydia Y. ChenICDE · Beijing Institute of Technology · Beijing Research Institute of Mechanical and Electrical Technology · +1
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  11. 2023
    Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual LearningAntonio Carta, Andrea Cossu, Vincenzo Lomonaco … Joost van de WeijerNeurocomputing
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  12. 2023
    Towards Open Temporal Graph Neural NetworksKaituo Feng, Changsheng Li, Xiaolu Zhang, Jun ZhouICLR
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  13. 2023
    Exploring Continual Learning of Diffusion ModelsMichał Zając, Kamil Rafał Deja, Anna Kuzina … Piotr MiłośarXiv
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  14. 2023
    Forget-free Continual Learning with Soft-Winning SubNetworksHaeyong Kang, Jaehong Yoon, Sultan Rizky Madjid … Chang D. YooarXiv
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  15. 2023
    Addressing the Challenges of Open-World Object DetectionDavid Pershouse, Feras Dayoub, Dimity Miller, Niko SünderhaufarXiv
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  16. 2023
    Prototype-Sample Relation Distillation: Towards Replay-Free Continual LearningNader Asadi, MohammadReza Davar, Sudhir P. Mudur … Eugene BelilovskyICML
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  19. 2023
    Remind of the Past: Incremental Learning with Analogical PromptsZhiheng Ma, Xiaopeng Hong, Beinan Liu … Huiyun LiarXiv
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  20. 2023
    Two-level Graph Network for Few-Shot Class-Incremental LearningHao Chen, Linyan Li, Fan Lyu … Fenglei XuarXiv
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  21. 2023
    AdaCL: Adaptive Continual LearningElif Ceren Gok Yildirim, Murat Onur Yildirim, Mert Kilickaya, Joaquin VanschorenCLAI Unconf
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  22. 2023
    AUTO: Adaptive Outlier Optimization for Test-Time OOD DetectionPuning Yang, Jian Liang, Jie Cao, Ran HearXiv
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  23. 2023
    Assessor-Guided Learning for Continual EnvironmentsM. Anwar Ma’sum, Mahardhika Pratama, Edwin Lughofer … Wisnu JatmikoInformation Sciences
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  24. 2023
    Continual Learning in the Presence of Spurious CorrelationDong-Gyu Lee, Sangwon Jung, Taesup MoonarXiv
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  25. 2023
    Sparse Distributed Memory is a Continual LearnerTrenton Bricken, Xander Davies, Deepak Singh … Gabriel KreimanICLR
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  26. 2023
    SIESTA: Efficient Online Continual Learning with SleepMd Yousuf Harun, Jhair Gallardo, Tyler L. Hayes … Christopher KananTMLR
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  27. 2023
    Fixed Design Analysis of Regularization-Based Continual LearningHaoran Li, Jingfeng Wu, Vladimir BravermanCoLLAs
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  28. 2023
    CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text RecognitionMarwa Dhiaf, Mohamed Ali Souibgui, Kai Wang … Ahmed Cheikh RouhouarXiv
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  29. 2023
    Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement LearningAli Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad … Sarath ChandarCoLLAs
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  30. 2023
    Is forgetting less a good inductive bias for forward transfer?Jiefeng Chen, Timothy Nguyen, Dilan Görür, Arslan ChaudhryICLR
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  33. 2023
    Loss of Plasticity in Continual Deep Reinforcement LearningZaheer Abbas, Rosie Zhao, Joseph Modayil … Marlos C. MachadoCoLLAs
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  34. 2023
    Continual Visual Reinforcement Learning with A Life-Long World ModelMin-Ting Pan, Wendong Zhang, Geng Chen … Xiaokang YangECML/PKDD
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  35. 2023
    Dynamic Y-KD: A Hybrid Approach to Continual Instance SegmentationMathieu Pagé-Fortin, Brahim Chaib-draaarXiv
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  36. 2023PDF ↗
  37. 2023
    Understanding plasticity in neural networksClare Lyle, Zeyu Zheng, Evgenii Nikishin … Will DabneyICML
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  40. 2023
    Adapter Incremental Continual Learning of Efficient Audio Spectrogram TransformersNithish Muthuchamy Selvaraj, Xiaobao Guo, Adams Wai‐Kin Kong … Alex C. KotInterspeech
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  41. 2023
    InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud RepresentationJiahua Dong, Yang Cong, Gan Sun … Ender KonukoğluTNNLS · Shenyang Institute of Automation · Chinese Academy of Sciences · +4
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  42. 2023
    Knowledge Restore and Transfer for Multi-Label Class-Incremental LearningSonglin Dong, Haoyu Luo, Yuhang He … Gong, YihongICCV
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  43. 2023
    Improving Representational Continuity via Continued PretrainingMichael Sun, Ananya Kumar, Divyam Madaan, Percy LiangarXiv
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  44. 2023
    Better Generative Replay for Continual Federated LearningDaiqing Qi, Handong Zhao, Sheng LiICLR
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  46. 2023
    Unbiased and Efficient Self-Supervised Incremental Contrastive LearningCheng Ji, Jianxin Li, Hao Peng … Philip S. YuWSDM · Beihang University · Macquarie University · +1
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  47. 2023
    New Insights for the Stability-Plasticity Dilemma in Online Continual LearningDahuin Jung, Dongjin Lee, Sunwon Hong … Sungroh YoonICLR
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  50. 2023
    Task-Specific Skill Localization in Fine-tuned Language ModelsAbhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev AroraICML
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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.