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.

20 papers of 4,574Sort Recent · Most cited
  1. 2023
    Continual Instruction Tuning for Large Multimodal ModelsJinghan He, Haiyun Guo, Kuan Zhu … Jinqiao WangTIP · Shandong Institute of Automation · Institute of Automation
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  2. 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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  3. 2026
    Multi-Stage Knowledge Integration of Vision-Language Models for Continual LearningHongsheng Zhang, Zhong Ji, Jingren Liu … Jungong HanTIP · Tianjin University · Tsinghua University
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  4. 2026
    CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance SegmentationBaichen Liu, Qi Lyu, Xudong Wang … Zhi HanTIP · Shenyang Institute of Automation · Mohamed bin Zayed University of Artificial Intelligence
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  5. 2026
    Miles: Metric Learning With Expandable Subspace for Pre-Trained Model-Based Class-Incremental LearningKai Jiang, Zisong Lin, Hongyuan Zhang … Xuelong LiTIP · Xidian University · University of Hong Kong · +1
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  6. 2026
    Multi-Level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCILShibin Su, Guoqiang Liang, De Cheng … Lingyan RanTIP · Northwestern Polytechnical University · Xidian University
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  7. 2025PDF ↗
  8. 2025PDF ↗
  9. 2025
    CCD: Continual Consistency Diffusion for Lifelong Generative ModelingJingren Liu, Zhong Ji, Shuning Xu … Xiangyu ChenTIP
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  10. 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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  11. 2025
    A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image SegmentationJianghao Wu, Xiangde Luo, Yubo Zhou … Shaoting ZhangTIP · University of Electronic Science and Technology of China · Shanghai Jiao Tong University · +1
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  12. 2024PDF ↗
  13. 2024PDF ↗
  14. 2021
    Task-Specific Normalization for Continual Learning of Blind Image Quality ModelsWeixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang YangTIP · Shanghai Jiao Tong University · City University of Hong Kong · +1
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  15. 2024
    NTK-Guided Few-Shot Class Incremental LearningJingren Liu, Zhong Ji, Yanwei Pang, Yunlong YuTIP · Tianjin University · Zhejiang University
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  16. 2024
    Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental LearningYuhang Zhou, Jiangchao Yao, Feng Hong … Yanfeng WangTIP · Shanghai Artificial Intelligence Laboratory
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  17. 2023
    Memorizing Complementation Network for Few-Shot Class-Incremental LearningZhong Ji, Zhishen Hou, Xiyao Liu … Xuelong LiTIP · Tianjin University · Shenyang Institute of Automation · +2
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  18. 2022
    Complementary Calibration: Boosting General Continual Learning With Collaborative Distillation and Self-SupervisionZhong Ji, Jin Li, Qiang Wang, Zhongfei ZhangTIP · Tianjin University · Binghamton University
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  19. 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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  20. 2021
    L3DOC: Lifelong 3D Object ClassificationYuyang Liu, Yang Cong, Gan Sun … Hongsen LiuTIP · Shenyang Institute of Automation · Chinese Academy of Sciences · +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.