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.

8 papers of 4,574Sort Recent · Most cited
  1. 2025
    Where’s That Voice Coming? Continual Learning for Sound Source LocalizationYang Xiao, Rohan Kumar DasIEEE International Conference on Multimedia and Expo (ICME)
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  2. 2025
    CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object DetectionMingyi Guo, Yuyang Liu, Zhiyuan Yan … Yonghong TianIEEE International Conference on Multimedia and Expo (ICME) · Peking University
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  3. 2024
    Enhancing Few-Shot Classification without Forgetting Through Multi-level Contrastive ConstraintsBingzhi Chen, Haoming Zhou, Yishu Liu … Guangming LuIEEE International Conference on Multimedia and Expo (ICME) · South China Normal University · Harbin Institute of Technology
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  4. 2023
    Semantic-visual Guided Transformer for Few-shot Class-incremental LearningWenhao Qiu, Sichao Fu, Jingyi Zhang … Qinmu PengIEEE International Conference on Multimedia and Expo (ICME) · Huazhong University of Science and Technology
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  5. 2023
    Preserving Locality in Vision Transformers for Class Incremental LearningBowen Zheng, Da-Wei Zhou, Han-Jia Ye, De‐Chuan ZhanIEEE International Conference on Multimedia and Expo (ICME) · Nanjing University
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  6. 2022
    AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image RecognitionKaile Du, Fan Lyu, Fuyuan Hu … Qiming FuIEEE International Conference on Multimedia and Expo (ICME) · Suzhou University of Science and Technology · Tianjin University · +1
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  7. 2022
    Continual Contrastive Learning for Image ClassificationZhiwei Lin, Yongtao Wang, Hongxiang LinIEEE International Conference on Multimedia and Expo (ICME) · Peking University
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  8. 2022
    Online Deep Metric Learning via Mutual DistillationGao-Dong Liu, Wan‐Lei Zhao, Jie ZhaoIEEE International Conference on Multimedia and Expo (ICME) · Xiamen University
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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.