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. 2026PDF ↗
  2. 2026
    Evidential Prior Guided Neural Collapse for Open World Object DetectionKewen Xia, Xiaodong Yue, Wei Liu … Yaxin PengIEEE TCSVT · Shanghai University · Tongji University
  3. 2026
    CEFCIL: Comprehensive Ensemble Framework for Exemplar-Free Class Incremental LearningWei Liu, Cheng Zhu, Fan Wu … Q. LiuBig Data Mining and Analytics · National University of Defense Technology · Central South University
  4. 2025
    CDFFCIL: Comprehensive Framework for Data-Free Federated Class-Incremental LearningWei Liu, Zhaoyun Ding, Lailong Luo … Cheng ZhuInternational Conference on Big Data and Information Anal… · National University of Defense Technology
  5. 2025
    Re-Fed+: A Better Replay Strategy for Federated Incremental LearningYichen Li, Haozhao Wang, Yining Qi … Ruixuan LiTPAMI · Huazhong University of Science and Technology
  6. 2024
    Diversity-Representativeness Replay and Knowledge Alignment for Lifelong Vehicle Re-identificationAnqi Cao, Zhijing Wan, Xiao Wang … Xin XuACM Trans. Multim. Comput. Commun. Appl.
  7. 2023
    Distributionally Robust Memory Evolution With Generalized Divergence for Continual LearningZhenyi Wang, Li Shen, Tiehang Duan … Mingchen GaoTPAMI · University of Maryland, College Park · Jingdong (China) · +2
  8. 2023
    Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA TaskStan Weixian Lei, Difei Gao, Jay Zhangjie Wu … Mike Zheng ShouAAAI
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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 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.