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.

18 papers of 4,574Sort Recent · Most cited
  1. 2026
    Reinforced Interactive Continual Learning via Real-time Noisy Human FeedbackYutao Yang, Jie Zhou, Junsong Li … Liang HeExpert Systems with Applications · East China Normal University · Shanghai Xuhui Central Hospital
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  2. 2026
    MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation ModelsXiaoyun Yu, Li Fan, Xiangfei Qiu … Jilin HuKDD · East China Normal University · Shanghai Innovative Research Center of Traditional Chinese Medicine · +3
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  3. 2025
    CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From MistakesHaokun Zhao, Jinyi Han, Jie Shi … Fei YuCIKM · Fudan University · East China Normal University · +1
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  4. 2025
    Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category DiscoveryRuobing Jiang, Yang Liu, Haobing Liu … Chunyang WangCIKM · Ocean University of China · East China Normal University
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  5. 2025
    CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question AnsweringTianyu Huai, Jie Zhou, Xingjiao Wu … Liang HeCVPR · East China Normal University · Shanghai Open University · +1
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  6. 2025
    One-for-More: Continual Diffusion Model for Anomaly DetectionXiaofan Li, Xin Tan, Zhuo Chen … Yuan XieCVPR · East China Normal University · Xiamen University · +2
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  7. 2025
    MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge ReplayZeke Xia, Ming Hu, Dengke Yan … Mingsong ChenAAAI · East China Normal University · Singapore Management University · +1
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  8. 2025
    Interweaving Memories of a Siamese Large Language ModelXin Song, Zhenwei Xue, Guoxiu He … Wei LuAAAI · East China Normal University · Worcester Polytechnic Institute · +1
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  9. 2025
    Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual LearningZhongyi Zhou, Yaxin Peng, Pengxing Yi … Chaomin ShenICASSP · East China Normal University · Shanghai University
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  10. 2024
    FPPL: An Efficient and Non-IID Robust Federated Continual Learning FrameworkYuchen He, Chuyun Shen, Xiangfeng Wang, Bo JinIEEE International Conference on Big Data (BigData) · East China Normal University · Tongji University
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  11. 2024
    Masked Autoencoders are Parameter-Efficient Federated Continual LearnersYuchen He, Xiangfeng WangIEEE International Conference on Big Data (BigData) · East China Normal University
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  12. 2024
    Recent Advances of Foundation Language Models-based Continual Learning: A SurveyYutao Yang, Jie Zhou, Xuanwen Ding … Liang HeACM Computing Surveys · East China Normal University
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  13. 2024
    QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended VersionDavid Campos, Bin Yang, Tung Kieu … Christian S. JensenVLDB · Aalborg University · East China Normal University · +1
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  14. 2024
    Learning Task-Aware Language-Image Representation for Class-Incremental Object DetectionHongquan Zhang, Bin-Bin Gao, Yi Zeng … Yuan XieAAAI · East China Normal University · Tencent (China) · +1
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  15. 2023
    Continual Learning via Manifold Expansion ReplayZihao Xu, Xuan Tang, Yufei Shi … Xian WeiIEEE International Conference on Systems, Man, and Cybern… · East China Normal University · Sun Yat-sen University · +2
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  16. 2023
    AttriCLIP: A Non-Incremental Learner for Incremental Knowledge LearningRunqi Wang, Xiaoyue Duan, Guoliang Kang … Baochang ZhangCVPR · Huawei Technologies (Sweden) · Beihang University · +1
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  17. 2023
    GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic ForgettingKangyang Luo, Xiang Li, Yunshi Lan, Ming GaoCVPR · East China Normal University
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  18. 2023
    Rehearsal-free Continual Language Learning via Efficient Parameter IsolationZhicheng Wang, Yufang Liu, Tao Ji … Wenqiu ZengACL · East China Normal University · China Institute of Finance and Capital Markets
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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.