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.

10 papers of 4,574Sort Recent · Most cited
  1. 2026
    CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft MemoryHuijeong Son, Hyeongu Kang, Sunho Kim … Susik YoonKDD · Korea University · Yonsei University
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  2. 2025
    Does Prior Data Matter? Exploring Joint Training in the Context of Few-Shot Class-Incremental LearningShiwon Kim, Dongjun Hwang, Sungwon Woo, Rita SinghICCV · Yonsei University · Sogang University · +1
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  3. 2024
    Pre-trained Vision and Language Transformers are Few-Shot Incremental LearnersKeon-Hee Park, Kyungwoo Song, Gyeong-Moon ParkCVPR · Kyung Hee University · Yonsei University
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  4. 2024
    Learning Equi-Angular Representations for Online Continual LearningMinhyuk Seo, Hyunseo Koh, Wonje Jeung … Jonghyun ChoiCVPR · Yonsei University · Zhejiang Lab · +1
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  5. 2024
    Layer-wise Auto-Weighting for Non-Stationary Test-Time AdaptationJunyoung Park, Jin Kim, Hyeongjun Kwon … Kwanghoon SohnWACV · Yonsei University · Korea Institute of Science and Technology
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  6. 2023
    Online Continual Learning on Hierarchical Label ExpansionByung Hyun Lee, Okchul Jung, Jonghyun Choi, Se Young ChunICCV · Seoul National University · Yonsei University
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  7. 2023
    Cost-effective On-device Continual Learning over Memory Hierarchy with MiroXinyue Ma, Suyeon Jeong, Minjia Zhang … Myeongjae JeonAnnual International Conference on Mobile Computing and N… · Ulsan National Institute of Science and Technology · Microsoft (United States) · +1
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  8. 2020
    A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World LearningMartin Mundt, Yongwon Hong, Iuliia Pliushch, Visvanathan RameshNeural Networks · Goethe University Frankfurt · Technische Universität Darmstadt · +1
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  9. 2022
    Online Continual Learning on a Contaminated Data Stream with Blurry Task BoundariesJihwan Bang, Hyunseo Koh, Seulki Park … Jonghyun ChoiCVPR · NAVER Cloud (South Korea) · Naver (South Korea) · +2
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  10. 2019
    Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set RecognitionMartin Mundt, Iuliia Pliushch, Sagnik Majumder … Visvanathan RameshJournal of Imaging · Goethe University Frankfurt · The University of Texas at Austin · +1
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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.