Related work

The foundational work on continual learning, 1988 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

958 papers of 6,984 · showing 651–700Sort Recent · Most cited
  1. 2023
    Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiersWenju Sun, Qingyong Li, Jing Zhang … Yangli‐ao GengPattern Recognition · Beijing Jiaotong University
  2. 2023
    CRNet: A Fast Continual Learning Framework With Random TheoryDepeng Li, Zhigang ZengTPAMI · Beijing Academy of Artificial Intelligence
  3. 2023
    Semantic Knowledge Guided Class-Incremental LearningShaokun Wang, Weiwei Shi, Songlin Dong … Yihong GongIEEE TCSVT · Xi'an Jiaotong University
  4. 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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  5. 2023
    The computational and neural bases of context-dependent learningJames B. Heald, Daniel M. Wolpert, Máté LengyelAnnual Review of Neuroscience · Columbia University · University of Cambridge
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  6. 2023
    Towards Open Temporal Graph Neural NetworksKaituo Feng, Changsheng Li, Xiaolu Zhang, Jun ZhouICLR
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  7. 2023
    Exploring Continual Learning of Diffusion ModelsMichał Zając, Kamil Rafał Deja, Anna Kuzina … Piotr MiłośarXiv
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  8. 2023
    Online continual learning with declarative memoryZhe Xiao, Zhekai Du, Ruijin Wang … Jingjing LiNeural Networks · China Electronics Technology Group Corporation · Hebei Science and Technology Department · +1
  9. 2023
    Forget-free Continual Learning with Soft-Winning SubNetworksHaeyong Kang, Jaehong Yoon, Sultan Rizky Madjid … Chang D. YooarXiv
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  10. 2023
    Addressing the Challenges of Open-World Object DetectionDavid Pershouse, Feras Dayoub, Dimity Miller, Niko SünderhaufarXiv
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  11. 2023
    Prototype-Sample Relation Distillation: Towards Replay-Free Continual LearningNader Asadi, MohammadReza Davar, Sudhir P. Mudur … Eugene BelilovskyICML
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  14. 2023
    Efficient, continual, and generalized learning in the brain – neural mechanism of Mental Schema 2.0 –Takefumi Ohki, Naoto Kunii, Zenas C. ChaoReviews in the Neurosciences · The University of Tokyo
  15. 2023
    Remind of the Past: Incremental Learning with Analogical PromptsZhiheng Ma, Xiaopeng Hong, Beinan Liu … Huiyun LiarXiv
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  16. 2023
    Two-level Graph Network for Few-Shot Class-Incremental LearningHao Chen, Linyan Li, Fan Lyu … Fenglei XuarXiv
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  17. 2023
    AdaCL: Adaptive Continual LearningElif Ceren Gok Yildirim, Murat Onur Yildirim, Mert Kilickaya, Joaquin VanschorenCLAI Unconf
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  18. 2023
    AUTO: Adaptive Outlier Optimization for Test-Time OOD DetectionPuning Yang, Jian Liang, Jie Cao, Ran HearXiv
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  19. 2023
    Assessor-Guided Learning for Continual EnvironmentsM. Anwar Ma’sum, Mahardhika Pratama, Edwin Lughofer … Wisnu JatmikoInformation Sciences
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  20. 2023
    Continual Learning in the Presence of Spurious CorrelationDong-Gyu Lee, Sangwon Jung, Taesup MoonarXiv
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  21. 2023
    Sparse Distributed Memory is a Continual LearnerTrenton Bricken, Xander Davies, Deepak Singh … Gabriel KreimanICLR
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  22. 2023
    SIESTA: Efficient Online Continual Learning with SleepMd Yousuf Harun, Jhair Gallardo, Tyler L. Hayes … Christopher KananTMLR
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  23. 2023
    Fixed Design Analysis of Regularization-Based Continual LearningHaoran Li, Jingfeng Wu, Vladimir BravermanCoLLAs
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  24. 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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  25. 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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  26. 2023
    Is forgetting less a good inductive bias for forward transfer?Jiefeng Chen, Timothy Nguyen, Dilan Görür, Arslan ChaudhryICLR
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  27. 2023PDF ↗
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  29. 2023
    Loss of Plasticity in Continual Deep Reinforcement LearningZaheer Abbas, Rosie Zhao, Joseph Modayil … Marlos C. MachadoCoLLAs
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  30. 2023
    Continual Visual Reinforcement Learning with A Life-Long World ModelMin-Ting Pan, Wendong Zhang, Geng Chen … Xiaokang YangECML/PKDD
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  31. 2023
    Dynamic Y-KD: A Hybrid Approach to Continual Instance SegmentationMathieu Pagé-Fortin, Brahim Chaib-draaarXiv
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  32. 2023PDF ↗
  33. 2023
    Class-incremental object detectionNa Dong, Yongqiang Zhang, Mingli Ding, Yancheng BaiPattern Recognition · Harbin Institute of Technology · Chinese Academy of Sciences · +1
  34. 2023
    Understanding plasticity in neural networksClare Lyle, Zeyu Zheng, Evgenii Nikishin … Will DabneyICML
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  35. 2023PDF ↗
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  37. 2023
    Squeezing More Past Knowledge for Online Class-Incremental Continual LearningDahua Yu, Mingyi Zhang, Mantian Li … Kaiqi HuangIEEE/CAA Journal of Automatica Sinica · Harbin Institute of Technology · Chinese Academy of Sciences · +4
  38. 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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  39. 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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  40. 2023
    Knowledge Restore and Transfer for Multi-Label Class-Incremental LearningSonglin Dong, Haoyu Luo, Yuhang He … Gong, YihongICCV
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  41. 2023
    Improving Representational Continuity via Continued PretrainingMichael Sun, Ananya Kumar, Divyam Madaan, Percy LiangarXiv
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  42. 2023
    Better Generative Replay for Continual Federated LearningDaiqing Qi, Handong Zhao, Sheng LiICLR
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  43. 2023PDF ↗
  44. 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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  45. 2023
    Dynamic learning rates for continual unsupervised learningJosé David Fernández-Rodríguez, Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato … Ezequiel López‐RubioIntegrated Computer-Aided Engineering · Instituto de Investigación Biomédica de Málaga · Universidad de Málaga
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  46. 2023
    New Insights for the Stability-Plasticity Dilemma in Online Continual LearningDahuin Jung, Dongjin Lee, Sunwon Hong … Sungroh YoonICLR
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  47. 2023PDF ↗
  48. 2023PDF ↗
  49. 2023
    Multi-feature space similarity supplement for few-shot class incremental learningXinlei Xu, Saisai Niu, Zhe Wang … Hai YangKnowledge-Based Systems · East China University of Science and Technology · China Aerospace Science and Technology Corporation
  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. 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.