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.

9 papers of 5,456Sort Recent · Most cited
  1. 2022
    Patch-based Knowledge Distillation for Lifelong Person Re-IdentificationZhicheng Sun, Yadong MuACM International Conference on Multimedia · Peking University
  2. 2022
    Preserve Knowledge with Auxiliary Feature Extractor for Class Incremental LearningHuihui Jie, Yuesheng ZhuThe 5th International Conference on Control and Computer… · Peking University
  3. 2022
    Continual Contrastive Learning for Image ClassificationZhiwei Lin, Yongtao Wang, Hongxiang LinIEEE International Conference on Multimedia and Expo (ICME) · Peking University
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  4. 2022PDF ↗
  5. 2022
    Adaptive Orthogonal Projection for Batch and Online Continual LearningYiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing LiuAAAI · Peking University · King University · +1
  6. 2022
    Alleviating Representational Shift for Continual Fine-tuningShibo Jie, Zhihong Deng, Ziheng LiCVPR · Peking University · Artificial Intelligence in Medicine (Canada)
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  7. 2022
    Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic SamplesYu Xia, Quan Wang, Yajuan Lyu … Dai DaiACL · Peking University · Baidu (China)
  8. 2022
    Balancing Between Forgetting and Acquisition in Incremental Subpopulation LearningMingfu Liang, Jiahuan Zhou, Wei Wei, Ying WuECCV · Northwestern University · Peking University
  9. 2022
    Adaptive Progressive Continual LearningJu Xu, Jin Ma, Xuesong Gao, Zhanxing ZhuTPAMI · Peking University · Shandong University · +4
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.