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.

9 papers of 6,984Sort Recent · Most cited
  1. 2025
    Amplitude-aware Domain Style Replay for Lifelong Person Re-identificationLong Chen, De Cheng, Shizhou Zhang … Yanning ZhangACM MM
  2. 2025
    Boosting Multi-Modal Alignment: Geometric Feature Separation for Class Incremental LearningGuoqiang Liang, Chuan Qin, De Cheng … Yanning ZhangACM International Conference on Multimedia · Northwestern Polytechnical University · Xidian University
  3. 2025
    Gradient Decomposition and Alignment for Incremental Object DetectionWenlong Luo, Xicheng Zhang, De Cheng … Y ZhangICCV · Northwestern Polytechnical University · Xidian University
  4. 2025PDF ↗
  5. 2025PDF ↗
  6. 2025
    Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual LearningYue Lu, Shizhou Zhang, De Cheng … Yanning ZhangAAAI · Northwestern Polytechnical University · Xidian University
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  7. 2025
    Achieving Plasticity-Stability Trade-Off in Continual Learning Through Adaptive Orthogonal ProjectionDe Cheng, Yusong Hu, Nannan Wang … Xinbo GaoIEEE TCSVT · Xidian University · Xi’an University of Posts and Telecommunications · +2
  8. 2025
    Demystifying Catastrophic Forgetting in Two-Stage Incremental Object DetectorQirui Wu, Shizhou Zhang, De Cheng … Yanning ZhangICML
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  9. 2025
    Enhancing Feature Learning With Hard Samples in Mutual Learning for Online Class Incremental LearningGuoqiang Liang, Shibin Su, De Cheng … Yanning ZhangTIP · Northwestern Polytechnical University · Xidian University
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.