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
    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
    PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental LearningXianghu Yue, Yiming Chen, Xueyi Zhang … Haizhou LiPattern Recognition · Tianjin University · National University of Singapore · +4
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  3. 2026
    Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative LearningXueyi Zhang, Jianhua Zhang, Zheng Li … Huiping ZhuangAAAI · Chinese University of Hong Kong, Shenzhen · University of Chinese Academy of Sciences · +4
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  4. 2026
    Lifelong Learning of Large Language Model Based Agents: A RoadmapJunhao Zheng, Chengming Shi, Xidi Cai … Qianli MaTPAMI · South China University of Technology · Mohamed bin Zayed University of Artificial Intelligence · +2
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  5. 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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  6. 2025
    Analytic Continual Test-Time Adaptation for Multi-Modality CorruptionYufei Zhang, Yicheng Xu, Hongxin Wei … Huiping ZhuangACM International Conference on Multimedia · South China University of Technology · Institute of Science Tokyo · +2
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  7. 2025
    CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point CloudsJia Xu Li, Rui Li, Jianyu Qi … Huiping ZhuangACM International Conference on Multimedia · Central South University · Zhengzhou University · +4
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  8. 2025
    Forward-Only Continual LearningJiao Chen, Jiayi He, Fangfang Chen … Jianhua TangACM International Conference on Multimedia · South China University of Technology
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  9. 2025
    Seeing 3D Through 2D Lenses: 3D Few-Shot Class-Incremental Learning via Cross-Modal Geometric RectificationTuo Xiang, Xuemiao Xu, Bangzhen Liu … Shengfeng HeICCV · South China University of Technology · Singapore Management University
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  10. 2025
    Uncertainty-Calibrated Test-Time Model Adaptation Without ForgettingMingkui Tan, Guohao Chen, Jiaxiang Wu … Shuaicheng NiuTPAMI · South China University of Technology · National University of Singapore · +2
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  11. 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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  12. 2025
    Towards Lifelong Learning of Large Language Models: A SurveyJunhao Zheng, Shengjie Qiu, Chengming Shi, Qianli MaACM Computing Surveys · South China University of Technology
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  13. 2025
    MuseumMaker: Continual Style Customization Without Catastrophic ForgettingChanglan Liu, Gan Sun, Wenqi Liang … Yang CongTIP · Shenyang Institute of Automation · Chinese Academy of Sciences · +3
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  14. 2024
    Analytic Class Incremental Learning for Sound Source Localization With Privacy ProtectionXinyuan Qian, Xianghu Yue, Jiadong Wang … Haizhou LiIEEE Signal Processing Letters · University of Science and Technology Beijing · National University of Singapore · +4
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  15. 2024
    Create Your World: Lifelong Text-to-Image DiffusionGan Sun, Wenqi Liang, Jiahua Dong … Yang CongTPAMI · Shenyang Institute of Automation · Chinese Academy of Sciences · +5
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  16. 2024
    DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental LearningHuiping Zhuang, Run He, Kai Tong … Zhiping LinAAAI · South China University of Technology · Nanyang Technological University
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  17. 2024
    M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental LearningJinhao Lin, Ziheng Wu, Weifeng Lin … Ronghua LuoAAAI · Alibaba Group (China) · South China University of Technology · +1
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  18. 2023
    Gradient-Semantic Compensation for Incremental Semantic SegmentationWei Wei Cong, Yang Cong, Jiahua Dong … Henghui DingIEEE Trans. Multimedia · Shenyang Institute of Automation · Chinese Academy of Sciences · +3
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  19. 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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  20. 2023
    Augmented Box Replay: Overcoming Foreground Shift for Incremental Object DetectionYuyang Liu, Yang Cong, Dipam Goswami … Joost van de WeijerICCV · Shenyang Institute of Automation · Chinese Academy of Sciences · +4
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  21. 2023
    Heterogeneous Forgetting Compensation for Class-Incremental LearningJiahua Dong, Wenqi Liang, Yang Cong, Gan SunICCV · Shenyang Institute of Automation · Chinese Academy of Sciences · +2
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  22. 2023
    Self-Paced Weight Consolidation for Continual LearningWei Wei Cong, Yang Cong, Gan Sun … Jiahua DongIEEE TCSVT · Shenyang Institute of Automation · Chinese Academy of Sciences · +2
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  23. 2023
    Few-Shot Class-Incremental Audio Classification Using Dynamically Expanded Classifier With Self-Attention Modified PrototypesYanxiong Li, Wenchang Cao, Wei Xie … Emmanouil BenetosIEEE Trans. Multimedia · South China University of Technology · Queen Mary University of London
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  24. 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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  25. 2019
    Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-CorrectionFengda Zhu, Xiaojun Chang, Runhao Zeng, Mingkui TanarXiv · South China University of Technology
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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.