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
    TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-TuningXiaosong Han, Ke Chen, Xindi Dai … Renchu GuanKDD · Jilin University · Jilin Province Science and Technology Department · +3
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  2. 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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  3. 2026
    IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware PromptingHao Fu, Hanbin Zhao, Jiahua Dong … Hui QianTIP · Zhejiang University of Science and Technology · Mohamed bin Zayed University of Artificial Intelligence · +1
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  4. 2026
    Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience RefinementCheng Yang, Xuemeng Yang, Licheng Wen … Haifeng LiACL · Central South University · Beijing Academy of Artificial Intelligence · +4
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  5. 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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  6. 2025
    Hierarchical Visual Prompt Learning for Continual Video Instance SegmentationJiahua Dong, Hui Yin, Wenqi Liang … Fahad Shahbaz KhanICCV · Mohamed bin Zayed University of Artificial Intelligence · Hunan University · +3
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  7. 2025
    Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot ManipulationY. Lawrence Yao, Siao Liu, Haoming Song … Dong WangCVPR · ShangHai JiAi Genetics & IVF Institute · Shanghai Artificial Intelligence Laboratory · +2
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  8. 2025
    PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision TransformerQian Feng, Hanbin Zhao, Chao Zhang … Hui QianIEEE TCSVT · Zhejiang University of Science and Technology · Zhejiang University · +2
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  9. 2025
    Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuningWeijian Ma, Ruoxin Chen, Ke-Yue Zhang … Shouhong DingAAAI · Fudan University · Tencent (China)
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  10. 2024
    Building an Open-Vocabulary Video CLIP Model With Better Architectures, Optimization and DataZuxuan Wu, Zejia Weng, Wujian Peng … Yu–Gang JiangTPAMI · Fudan University · Alpha Omega Alpha Medical Honor Society · +2
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  11. 2023
    Online Prototype Learning for Online Continual LearningYujie Wei, Jiaxin Ye, Zhizhong Huang … Hongming ShanICCV · Fudan University · Shanghai Center for Brain Science and Brain-Inspired Technology · +1
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  12. 2023
    MRN: Multiplexed Routing Network for Incremental Multilingual Text RecognitionTianlun Zheng, Zhineng Chen, Bingchen Huang … Yu–Gang JiangICCV · Fudan University
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  13. 2023
    Offline Experience Replay for Continual Offline Reinforcement LearningSibo Gai, Donglin Wang, Li HeFrontiers · Fudan University · Westlake University
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  14. 2023
    Learning “O” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NERRuotian Ma, Xuanting Chen, Lin Zhang … Yun Wen ChenACL · Fudan University · Wanfang Data (China)
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  15. 2021
    Incrementally Zero-Shot Detection by an Extreme Value AnalyzerSixiao Zheng, Yanwei Fu, Yanxi HouICPR · Fudan University
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  16. 2021
    K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersRuize Wang, Duyu Tang, Nan Duan … Ming ZhouACL · Fudan University · Microsoft (United States) · +1
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  17. 2020
    Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation ExtractionLi Cui, Deqing Yang, Jiaxin Yu … Yanghua XiaoACL · Fudan 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.