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Related work

The foundational work on continual learning, 1980 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

3 papers of 8,653Sort Recent · Most cited
2021 University of Electronic Science and Technology of China Clear all
  1. 2021
    Remember and Reuse: Cross-Task Blind Image Quality Assessment via Relevance-aware Incremental LearningRui Ma, Hanxiao Luo, Qingbo Wu … Linfeng XuACM International Conference on Multimedia · University of Electronic Science and Technology of China
  2. 2021
    Accelerating Lifelong Reinforcement Learning via Reshaping Rewards*Kun Chu, Xianchao Zhu, William ZhuIEEE International Conference on Systems, Man, and Cybern… · University of Electronic Science and Technology of China
  3. 2021
    Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience ReplayFan Zhou, Chengtai CaoAAAI · University of Electronic Science and Technology of China
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 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.