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.

8 papers of 4,574Sort Recent · Most cited
  1. 2025
    Analytic Continual Test-Time Adaptation for Multi-Modality CorruptionYufei Zhang, Yicheng Xu, Hongxin Wei … Huiping ZhuangACM International Conference on Multimedia · South China University of Technology · Institute of Science Tokyo · +2
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  2. 2025
    Controllable Relation Disentanglement for Few-Shot Class-Incremental LearningYuan Zhou, Richang Hong, Yanrong Guo … Hanwang ZhangIEEE TCSVT · Nanyang Technological University · Hefei University of Technology · +1
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  3. 2025
    SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End DevicesZhengyi Zhong, Weidong Bao, Ji Wang … Wei Yang Bryan LimTNNLS · National University of Defense Technology · Sun Yat-sen University · +2
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  4. 2025
    Uncertainty-Calibrated Test-Time Model Adaptation Without ForgettingMingkui Tan, Guohao Chen, Jiaxiang Wu … Shuaicheng NiuTPAMI · South China University of Technology · National University of Singapore · +2
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  5. 2025
    Learning Without Forgetting for Vision-Language ModelsDa-Wei Zhou, Yuanhan Zhang, Yan Wang … Ziwei LiuTPAMI · Nanjing University · Nanyang Technological University
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  6. 2025
    Class-wise Balancing Data Replay for Federated Class-Incremental LearningZhuang Qi, Ying-Peng Tang, Lei Meng … Xiangxu MengNeurIPS · Shandong University · Nanyang Technological University · +1
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  7. 2025
    Analogical Augmentation and Significance Analysis for Online Task-Free Continual LearningSonglin Dong, Yingjie Chen, Yuhang He … Yihong GongIEEE Trans. Multimedia · Xi'an Jiaotong University · Nanyang Technological University
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  8. 2025
    Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedDa-Wei Zhou, Zi-Wen Cai, Han-Jia Ye … Ziwei LiuIJCV · Nanjing University · Nanyang Technological University
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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.