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.

17 papers of 4,574Sort Recent · Most cited
  1. 2026
    Crafting Your Evolving Dreams: Concept-Incremental Versatile CustomizationJiahua Dong, Wenqi Liang, Hongliu Li … Fahad Shahbaz KhanTPAMI · Mohamed bin Zayed University of Artificial Intelligence · University of Trento · +5
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  2. 2026
    Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time AdaptationRongyu Zhang, Aosong Cheng, Y. Luo … Yuan DuAAAI · Hong Kong Polytechnic University · Peking University · +3
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  3. 2025
    REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental LearningRun He, Di Fang, Yizhu Chen … Huiping ZhuangKnowledge-Based Systems · South China University of Technology · Hong Kong Polytechnic University
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  4. 2025
    SPOT: An efficient training-free task similarity quantification method for continual learningXulong Wang, Yu Zhang, Tong Liu … Po YangPattern Recognition Letters · University of Sheffield · Hong Kong Polytechnic University
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  5. 2025
    Unleashing the Power of Continual Learning on Non-Centralized Devices: A SurveyYichen Li, Haozhao Wang, Wenchao Xu … Ruixuan LiIEEE Communications Surveys & Tutorials · Huazhong University of Science and Technology · Hong Kong Polytechnic University · +5
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  6. 2025
    Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and RegularizationYawen Cui, Li Liu, Zitong Yu … Xiaopeng HongAAAI · Hong Kong Polytechnic University · Great Bay University · +1
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  7. 2024
    Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual LearningLei Liu, Li Liu, Yawen CuiACM International Conference on Multimedia · Hong Kong University of Science and Technology · Shenzhen Research Institute of Big Data · +3
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  8. 2024
    Open World Object Detection: A SurveyYiming Li, Yi Wang, Wenqian Wang … Kim–Hui YapIEEE TCSVT · Nanyang Technological University · Hong Kong Polytechnic University · +2
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  9. 2024
    Continual Multi-View Clustering with Consistent Anchor GuidanceWei Hua, Chenlin Zhou, Jibin Wu … Yangyang ShuIJCAI · Nanjing University · University of Chinese Academy of Sciences · +3
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  10. 2024
    Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and RefinementFushuo Huo, Wenchao Xu, Jingcai Guo … Yunfeng FanAAAI · Hong Kong Polytechnic University · Huazhong University of Science and Technology
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  11. 2024
    TaSL: Continual Dialog State Tracking via Task Skill Localization and ConsolidationYujie Feng, Xu Chu, Yongxin Xu … Xiao-Ming WuACL · Hong Kong Polytechnic University · Peking University · +1
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  12. 2024
    Continual Dialogue State Tracking via Reason-of-Select DistillationYujie Feng, Bo Liu, Xiaoyu Dong … Albert Y. S. LamACL · Hong Kong Polytechnic University · Fano Labs (China)
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  13. 2022
    AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential DatasetsYuqing Zhao, Divya Saxena, Jiannong CaoTNNLS · Hong Kong Polytechnic University
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  14. 2024
    No One Left Behind: Real-World Federated Class-Incremental LearningJiahua Dong, Hongliu Li, Yang Cong … Luc Van GoolTPAMI · Shenyang Institute of Automation · Chinese Academy of Sciences · +3
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  15. 2023
    Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity RecognitionDuzhen Zhang, Hongliu Li, Wei Wei Cong … Xiuyi ChenCIKM · Baidu (China) · Hong Kong Polytechnic University · +3
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  16. 2021
    Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat MinimaGuangyuan Shi, Jiaxin Chen, Wenlong Zhang … Xiao-Ming WuNeurIPS · Hong Kong Polytechnic University
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  17. 2020
    A Two-phase Prototypical Network Model for Incremental Few-shot Relation ClassificationHaopeng Ren, Yi Cai, Xiaofeng Chen … Qing LiCOLING · Ministry of Natural Resources · South China University of Technology · +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.