Related work

The foundational work on continual learning, 1991 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

7 papers of 4,574Sort Recent · Most cited
  1. 2025
    PROL: Rehearsal Free Continual Learning in Streaming Data via Prompt Online LearningM. Anwar Ma’sum, Mahardhika Pratama, Savitha Ramasamy … Ryszard KowalczykICCV · University of South Australia · Institute for Infocomm Research
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  2. 2025
    Sequence Transferability and Task Order Selection in Continual LearningThinh T. Nguyen, Nguyễn Ngọc Cương, Quang Trung Pham … Cuong Viet NguyenarXiv
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  3. 2024
    PIP: Prototypes-Injected Prompt for Federated Class Incremental LearningM. Anwar Ma’sum, Mahardhika Pratama, Savitha Ramasamy … Ryszard KowalczykCIKM · University of South Australia · Institute for Infocomm Research
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  4. 2024
    Class-incremental Learning for Time Series: Benchmark and EvaluationZhongzheng Qiao, Quang Pham, Zhengwei Cao … Savitha RamasamyKDD
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  5. 2022
    PaRT: Parallel Learning Towards Robust and Transparent AIM Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan … Lee, Hwee KuanarXiv
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  6. 2022
    Knowledge Capture and Replay for Continual LearningSaisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek … ArulMurugan AmbikapathiWACV · Agency for Science, Technology and Research · Institute for Infocomm Research · +1
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  7. 2018
    Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data StreamsMahardhika Pratama, Andri Ashfahani, Yew-Soon Ong … Edwin LughoferarXiv
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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, and only papers with a PDF we can point you at, so every title opens the paper itself. 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.