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.

10 papers of 5,456Sort Recent · Most cited
  1. 2026
    Continual learning: A systematic literature reviewQinwen Yang, Liyuan Wang, Joerg Wicker, Gillian DobbieNeural Networks · University of Auckland · Tsinghua University · +1
  2. 2025
    HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient TuningLiyuan Wang, Jingyi Xie, Xingxing Zhang … Jun ZhuTPAMI · Tsinghua University
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  3. 2024
    MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality AssessmentKanglei Zhou, Liyuan Wang, Xingxing Zhang … Xiaohui LiangECCV · Durham University · Beihang University · +2
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  4. 2024
    Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-DistillationHongwei Yan, Liyuan Wang, Kaisheng Ma, Yi ZhongCVPR · McGovern Institute for Brain Research · King Center · +1
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  5. 2024
    A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationLiyuan Wang, Xingxing Zhang, Hang Su, Jun ZhuTPAMI · Tsinghua University
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  6. 2023
    Incorporating neuro-inspired adaptability for continual learning in artificial intelligenceLiyuan Wang, Xingxing Zhang, Qian Li … Yi ZhongNature Machine Intelligence · Chinese Institute for Brain Research · Center for Life Sciences · +2
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  7. 2023
    SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained ModelGengwei Zhang, Liyuan Wang, Guoliang Kang … Yunchao WeiICCV · University of Technology Sydney · Tsinghua University · +2
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  8. 2021
    AFEC: Active Forgetting of Negative Transfer in Continual LearningLiyuan Wang, Ming‐Tian Zhang, Zhongfan Jia … Yi ZhongNeurIPS · Tsinghua University · University College London
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  9. 2022
    Triple-Memory Networks: A Brain-Inspired Method for Continual LearningLiyuan Wang, Bo Lei, Qian Li … Yi ZhongTNNLS · Chinese Institute for Brain Research · Center for Life Sciences · +1
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  10. 2021
    ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual LearningLiyuan Wang, Kuo Yang, Chongxuan Li … Jun ZhuCVPR · Tsinghua University · Huawei Technologies (Sweden)
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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.