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.

12 papers of 4,574Sort Recent · Most cited
  1. 2025
    Online-LoRA: Task-Free Online Continual Learning via Low Rank AdaptationXiwen Wei, Guihong Li, Radu MarculescuWACV · The University of Texas at Austin
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  2. 2025
    Dam: Dynamic Adapter Merging for Continual Video QA LearningFeng Cheng, Ziyang Wang, Yi-Lin Sung … Gedas BertasiusWACV · University of North Carolina Health Care
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  3. 2025
    One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question AnsweringDeepayan Das, Davide Talon, Massimiliano Mancini … Elisa RicciWACV · University of Trento · Fondazione Bruno Kessler
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  4. 2025
    Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental LearningParinita Nema, Vinod K KurmiWACV · Indian Institute of Science Education and Research, Bhopal
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  5. 2025
    Covariance-Based Space Regularization for Few-Shot Class Incremental LearningYijie Hu, Guanyu Yang, Zhaorui Tan … Qiufeng WangWACV · Xi’an Jiaotong-Liverpool University · University of Liverpool · +1
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  6. 2025
    Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar SelectionHossein Resani, Behrooz Nasihatkon, Mohammadreza Alimoradi JaziWACV · K. N. Toosi University of Technology
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  7. 2025
    Exploring the Stability Gap in Continual Learning: The Role of the Classification HeadWojciech Łapacz, Daniel Marczak, Filip Szatkowski, T. P. TrzcinskiWACV · Warsaw University of Technology
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  8. 2025
    Semantic Prompting with Image Token for Continual LearningJisu Han, Jaemin Na, Wonjun HwangWACV · Ajou University
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  9. 2025
    Continual Learning of Personalized Generative Face Models with Experience ReplayAnnie N. Wang, Luchao Qi, Roni SenguptaWACV · University of North Carolina at Chapel Hill · University of North Carolina Health Care
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  10. 2025
    ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental LearningYi Yang, Lei Zhong, Huiping ZhuangWACV · University of Edinburgh · South China University of Technology
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  11. 2025
    TACLE: Task and Class-Aware Exemplar-Free Semi-Supervised Class Incremental LearningJayateja Kalla, Rohit Kumar, Soma BiswasWACV · Indian Institute of Science Bangalore
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  12. 2025
    Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-Based Semantic SegmentationNiharika Hegde, Shishir Muralidhara, René Schuster, Didier StrickerWACV
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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.