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.

25 papers of 4,574Sort Recent · Most cited
  1. 2026
    Sparse Orthogonal Parameters Tuning for Continual LearningKun-Peng Ning, Hai-Jian Ke, Yuyang Liu … Yuan LiIJCV · Peking University Shenzhen Hospital · Peng Cheng Laboratory
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  2. 2025
    Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic ScenariosLi Deng, Aming Wu, Yang Li … Yahong HanICCV · Tianjin University · Hefei University of Technology · +1
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  3. 2025
    Prompt Customization for Continual LearningYong Dai, Xiaopeng Hong, Yabin Wang … Yaowei WangIEEE TAI · Shenzhen Polytechnic University · Peng Cheng Laboratory · +6
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  4. 2025
    RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model MergingBowen Wang, Haiyuan Wan, Liwen Shi … Sheng ZhangEMNLP · University Town of Shenzhen · Tsinghua–Berkeley Shenzhen Institute · +6
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  5. 2024
    Solving the Catastrophic Forgetting Problem in Generalized Category DiscoveryXinzi Cao, Xiawu Zheng, Guanhong Wang … Yonghong TianCVPR · Sun Yat-sen University · Peng Cheng Laboratory · +2
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  6. 2024
    Adaptive Discovering and Merging for Incremental Novel Class DiscoveryGuangyao Chen, Peixi Peng, Yangru Huang … Yonghong TianAAAI · Peking University · Peng Cheng Laboratory
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  7. 2024
    INCPrompt: Task-Aware Incremental Prompting for Rehearsal-Free Class-Incremental LearningZhiyuan Wang, Xiaoyang Qu, Jing Xiao … Jianzong WangICASSP · Tsinghua–Berkeley Shenzhen Institute · Shenzhen Technology University · +3
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  8. 2024
    P2DT: Mitigating Forgetting in Task-Incremental Learning with Progressive Prompt Decision TransformerZhiyuan Wang, Xiaoyang Qu, Jing Xiao … Jianzong WangICASSP · Tsinghua–Berkeley Shenzhen Institute · Shenzhen Technology University · +3
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  9. 2023
    When Prompt-based Incremental Learning Does Not Meet Strong PretrainingYuming Tang, Yi-Xing Peng, Wei‐Shi ZhengICCV · Ministry of Education of the People's Republic of China · Sun Yat-sen University · +1
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  10. 2023
    CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology PreservationHongguang Zhu, Yunchao Wei, Xiaodan Liang … Yao ZhaoICCV · Beijing Jiaotong University · Peng Cheng Laboratory · +2
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  11. 2023
    A Neural Span-Based Continual Named Entity Recognition ModelYunan Zhang, Qingcai ChenAAAI · Harbin Institute of Technology · Peng Cheng Laboratory
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  12. 2023
    Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental LearningZeyin Song, Yifan Zhao, Yujun Shi … Yonghong TianCVPR · Peking University · National University of Singapore · +1
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  13. 2023
    Regularizing Second-Order Influences for Continual LearningZhicheng Sun, Yadong Mu, Gang HuaCVPR · Peking University · Peng Cheng Laboratory
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  14. 2023
    Continual learning with Bayesian model based on a fixed pre-trained feature extractorYang Yang, Zhiying Cui, Junjie Xu … Ruixuan WangVisual Intelligence · Sun Yat-sen University · Peng Cheng Laboratory · +1
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  15. 2023
    Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence ModelsShuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng WangIEEE/ACM 45th International Conference on Software Engine… · Intel (United States) · Harbin Institute of Technology · +3
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  16. 2023
    SATS: Self-Attention Transfer for Continual Semantic SegmentationYiqiao Qiu, Yixing Shen, Zhuohao Sun … Ruixuan WangPattern Recognition · Sun Yat-sen University · Wuhan University · +2
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  17. 2022
    Class Gradient Projection For Continual LearningCheng Chen, Ji Zhang, Jingkuan Song, Lianli GaoACM International Conference on Multimedia · University of Electronic Science and Technology of China · Peng Cheng Laboratory
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  18. 2022
    Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled DataYu-Ming Tang, Yi-Xing Peng, Wei‐Shi ZhengCVPR · Ministry of Education of the People's Republic of China · Sun Yat-sen University · +1
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  19. 2023
    Continual Learning for Blind Image Quality AssessmentWeixia Zhang, Dingquan Li, Chao Ma … Kede MaTPAMI · Shanghai Jiao Tong University · Peng Cheng Laboratory · +1
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  20. 2022
    CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine TranslationHan Zhang, Sheng Zhang, Yang Xiang … Ruifeng XuEMNLP · Harbin Institute of Technology · Peng Cheng Laboratory · +3
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  21. 2022
    Continual Referring Expression Comprehension via Dual Modular MemorizationHeng Tao Shen, Cheng Chen, Peng Wang … Jingkuan SongTIP · University of Electronic Science and Technology of China · Peng Cheng Laboratory · +2
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  22. 2022
    Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine TranslationKaiyu Huang, Peng Li, Jin Ma, Yang LiuEMNLP · Tsinghua University · Peng Cheng Laboratory · +5
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  23. 2021
    Principal Gradient Direction and Confidence Reservoir Sampling for Continual LearningZhiyi Chen, Tong LinSpringer LNCS · Georgia Institute of Technology · Peking University · +1
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  24. 2020
    Maintaining Discrimination and Fairness in Class Incremental LearningBowen Zhao, Xi Xiao, Guojun Gan … Shu‐Tao XiaCVPR · Peng Cheng Laboratory · Tsinghua University
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  25. 2020
    Few-Shot Class-Incremental LearningXiaoyu Tao, Xiaopeng Hong, Xinyuan Chang … Yihong GongCVPR · Xi'an Jiaotong University · Peng Cheng Laboratory
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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.