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. 2026
    Elastic Multi-Gradient Descent for Parallel Continual LearningFan Lyu, Wei Feng, Yuepan Li … Liang WangTPAMI · Universitat Autònoma de Barcelona · Tianjin University · +2
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  2. 2026
    Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics AggregationZenghao Guan, Guojun Zhu, Zhou Yucan … Xiaoyan GuWWW · Institute of Information Engineering · University of Chinese Academy of Sciences · +3
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  3. 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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  4. 2026
    Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel PerspectiveJingren Liu, Zhong Ji, Yunlong Yu … Xuelong LiTPAMI · Tianjin University · Zhejiang University · +3
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  5. 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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  6. 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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  7. 2025
    Beyond Background Shift: Rethinking Instance Replay in Continual Semantic SegmentationHongmei Yin, Tingliang Feng, Fan Lyu … Liang WanCVPR · Tianjin University · Institute of Automation
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  8. 2025
    Reducing Class-wise Confusion for Incremental Learning with Disentangled ManifoldsHuitong Chen, Yu Wang, Yan Fan … Qinghua HuCVPR · Tianjin University
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  9. 2024
    Dynamic Sub-graph Distillation for Robust Semi-supervised Continual LearningYan Fan, Yu Wang, Pengfei Zhu, Qinghua HuAAAI · Tianjin University
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  10. 2024
    NTK-Guided Few-Shot Class Incremental LearningJingren Liu, Zhong Ji, Yanwei Pang, Yunlong YuTIP · Tianjin University · Zhejiang University
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  11. 2023
    Multi-Label Continual Learning Using Augmented Graph Convolutional NetworkKaile Du, Fan Lyu, Linyan Li … Hanjing ChengIEEE Trans. Multimedia · Suzhou University of Science and Technology · Southeast University · +2
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  12. 2023
    Centroid Distance Distillation for Effective Rehearsal in Continual LearningDaofeng Liu, Fan Lyu, Linyan Li … Fuyuan HuICASSP · Suzhou University of Science and Technology · Tianjin University · +1
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  13. 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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  14. 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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  15. 2022
    AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image RecognitionKaile Du, Fan Lyu, Fuyuan Hu … Qiming FuIEEE International Conference on Multimedia and Expo (ICME) · Suzhou University of Science and Technology · Tianjin University · +1
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  16. 2022
    Learning from Students: Online Contrastive Distillation Network for General Continual LearningJin Li, Zhong Ji, Gang Wang … Feng GaoIJCAI · Tianjin University
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  17. 2022
    Multi-Granularity Regularized Re-Balancing for Class Incremental LearningHuitong Chen, Yu Wang, Qinghua HuTKDE · Tianjin University · Tianjin haihe hospital
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  18. 2021
    Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual LearningDanruo Deng, Guangyong Chen, Jianye Hao … Pheng‐Ann HengNeurIPS · Chinese University of Hong Kong · Shenzhen Institutes of Advanced Technology · +1
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  19. 2021
    Multi-Domain Multi-Task Rehearsal for Lifelong LearningFan Lyu, Shuai Wang, Wei Feng … Song WangAAAI · Tianjin University · University of South Carolina · +1
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  20. 2020
    Mnemonics Training: Multi-Class Incremental Learning Without ForgettingYaoyao Liu, Yuting Su, An-An Liu … Qianru SunCVPR · Tianjin University · Max Planck Institute for Informatics · +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.