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.

8 papers of 6,984Sort Recent · Most cited
  1. 2021
    Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise RelationshipQuanziang Wang, Renzhen Wang, Yuexiang Li … Deyu MengIEEE Trans. Multimedia · Xi'an Jiaotong University · Tencent (China) · +1
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  2. 2021
    Structural Knowledge Organization and Transfer for Class-Incremental LearningYu Liu, Xiaopeng Hong, Xiaoyu Tao … Yihong GongACM MM · Xi'an Jiaotong University
  3. 2021
    Class Incremental Learning for Video Action ClassificationJiawei Ma, Xiaoyu Tao, Jianxing Ma … Yihong GongICIP · Xi'an Jiaotong University
  4. 2021
    Training Networks in Null Space of Feature Covariance for Continual LearningShipeng Wang, Xiaorong Li, Jian Sun, Zongben XuCVPR · Xi'an Jiaotong University
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  5. 2021
    Layerwise Optimization by Gradient Decomposition for Continual LearningShixiang Tang, Dapeng Chen, Jinguo Zhu … Wanli OuyangCVPR · The University of Sydney · Group Sense (China) · +2
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  6. 2021
    Few-Shot Class-Incremental Learning via Relation Knowledge DistillationSonglin Dong, Xiaopeng Hong, Xiaoyu Tao … Yihong GongAAAI · Xi'an Jiaotong University
  7. 2021
    Class-Incremental Learning with Topological Schemas of Memory SpacesXinyuan Chang, Xiaoyu Tao, Xiaopeng Hong … Yihong GongICPR · Xi'an Jiaotong University
  8. 2021
    Continual Multiview Task Learning via Deep Matrix FactorizationGan Sun, Yang Cong, Yulun Zhang … Yun FuTNNLS · Northeastern University · Shenyang Institute of Automation · +2
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.