Related work

The foundational work on continual learning, 1989 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

27 papers of 5,456Sort Recent · Most cited
  1. 2026
    Release the Potential of Memory Buffer in Continual Learning: A Dynamic System PerspectiveZhenyi Wang, Li Shen, Tiehang Duan … Dacheng TaoTPAMI · University of Central Florida · Artificial Intelligence in Medicine (Canada) · +6
  2. 2023
    Task-Distributionally Robust Data-Free Meta-LearningZixuan Hu, Yongxian Wei, Li Shen … Dacheng TaoTPAMI · Nanyang Technological University · Tsinghua–Berkeley Shenzhen Institute · +6
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  3. 2025PDF ↗
  4. 2025
    Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient ProjectionEnneng Yang, Li Shen, Zhenyi Wang … Dacheng TaoTPAMI · Northeastern University · Sun Yat-sen University · +3
  5. 2025
    Tackling Continual Offline RL through Selective Weights Activation on Aligned SpacesJifeng Hu, Sili Huang, Li Chun Shen … Dacheng TaoNeurIPS · Jilin University · Jilin Medical University · +5
  6. 2024
    Continual Task Learning through Adaptive Policy Self-CompositionShengchao Hu, Yuhang Zhou, Ziqing Fan … Dacheng TaoarXiv
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  7. 2024PDF ↗
  8. 2024
    Continual Learning From a Stream of APIsEnneng Yang, Zhenyi Wang, Li Shen … Dacheng TaoTPAMI · Northeastern University · University of Maryland, College Park · +4
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  9. 2024
    Topology-aware Embedding Memory for Continual Learning on Expanding NetworksXikun Zhang, Dongjin Song, Yixin Chen, Dacheng TaoKDD · The University of Sydney · University of Connecticut · +1
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  10. 2024
    Revisiting Catastrophic Forgetting in Large Language Model TuningHongyu Li, Liang Ding, Meng Fang, Dacheng TaoEMNLP
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  11. 2024
    Object Detectors in the Open Environment: Challenges, Solutions, and OutlookSiyuan Liang, Wei Wang, Ruoyu Chen … Dacheng TaoarXiv
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  12. 2024PDF ↗
  13. 2024
    Ricci Curvature-Based Graph Sparsification for Continual Graph Representation LearningXikun Zhang, Dongjin Song, Dacheng TaoTNNLS · The University of Sydney · University of Connecticut
  14. 2023PDF ↗
  15. 2024
    Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian MatrixYajing Kong, Liu Liu, Huanhuan Chen … Dacheng TaoTNNLS · The University of Sydney · University of Science and Technology of China · +2
  16. 2023
    Trust-Region Adaptive Frequency for Online Continual LearningYajing Kong, Liu Liu, Maoying Qiao … Dacheng TaoIJCV · The University of Sydney · University of Technology Sydney
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  17. 2023PDF ↗
  18. 2022
    Sparsified Subgraph Memory for Continual Graph Representation LearningXikun Zhang, Dongjin Song, Dacheng TaoICDM · The University of Sydney · University of Connecticut
  19. 2024
    Incremental Embedding Learning With Disentangled Representation TranslationKun Wei, Da Chen, Yuhong Li … Dacheng TaoTNNLS · Xidian University · Alibaba Group (China) · +1
  20. 2022PDF ↗
  21. 2022
    Online Continual Learning with Contrastive Vision TransformerZhen Wang, Liu Liu, Yajing Kong … Dacheng TaoECCV
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  22. 2023
    Hierarchical Prototype Networks for Continual Graph Representation LearningXikun Zhang, Dongjin Song, Dacheng TaoTPAMI · The University of Sydney · University of Connecticut
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  23. 2022
    Continual Learning through Retrieval and ImaginationZhen Wang, Liu Liu, Yiqun Duan, Dacheng TaoAAAI · The University of Sydney · University of Technology Sydney
  24. 2022
    Continual Learning with Lifelong Vision TransformerZhen Wang, Liu Liu, Yiqun Duan … Dacheng TaoCVPR · The University of Sydney · University of Technology Sydney · +1
  25. 2022
    CGLB: Benchmark Tasks for Continual Graph LearningXikun Zhang, Dongjin Song, Dacheng TaoNeurIPS
  26. 2021
    Incremental Zero-Shot LearningKun Wei, Cheng Deng, Xu Yang, Dacheng TaoIEEE Trans. Cybernetics · Xidian University · Jingdong (China)
  27. 2021
    Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic ForgettingZeke Xie, Fengxiang He, Shaopeng Fu … Masashi SugiyamaNeural Computation · RIKEN Center for Advanced Intelligence Project · The University of Tokyo · +1
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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 written 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.