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.

14 papers of 4,574Sort Recent · Most cited
  1. 2026
    EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental LearningHuaijie Wang, De Cheng, Lingfeng He … Xinbo GaoIJCV · Xidian University · Northwestern Polytechnical University
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  2. 2026
    KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction TuningLingyun Song, Ziyao Chen, Kang Pan … Xuequn ShangAAAI · Northwestern Polytechnical University · San Francisco Bay University · +1
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  3. 2026
    Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object DetectionQirui Wu, Shizhou Zhang, De Cheng … Peng WangAAAI · Northwestern Polytechnical University · Medrobotics (United States)
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  4. 2023
    Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-Based Video Incremental LearningShengqin Jiang, Yaoyu Fang, Haokui Zhang … Peng WangIJCV · Nanjing University of Information Science and Technology · Northwestern Polytechnical University · +3
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  5. 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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  6. 2025
    Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual LearningYue Lu, Shizhou Zhang, De Cheng … Yanning ZhangAAAI · Northwestern Polytechnical University · Xidian University
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  7. 2025
    CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary LearningYukun Li, Guansong Pang, Wei Suo … Peng WangTNNLS · Northwestern Polytechnical University · Singapore Management University · +2
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  8. 2025
    HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR ModelsBingshen Mu, Kun Wei, Qijie Shao … Lei XieICASSP · Northwestern Polytechnical University · Tencent (China)
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  9. 2024
    Sustainable Self-evolution Adversarial TrainingWenxuan Wang, Chenglei Wang, Huihui Qi … Yanning ZhangACM International Conference on Multimedia · Northwestern Polytechnical University
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  10. 2024
    Non-Exemplar Class-Incremental Learning by Random Auxiliary Classes Augmentation and Mixed FeaturesKe Song, Guoqiang Liang, Zhaojie Chen, Yanning ZhangIEEE TCSVT · Northwestern Polytechnical University
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  11. 2023
    IOB: integrating optimization transfer and behavior transfer for multi-policy reuseSiyuan Li, Hao Li, Jin Zhang … Chongjie ZhangAutonomous Agents and Multi-Agent Systems · Harbin Institute of Technology · Northwestern Polytechnical University · +2
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  12. 2023
    New Insights on Relieving Task-Recency Bias for Online Class Incremental LearningGuoqiang Liang, Zhaojie Chen, Zhaoqiang Chen … Yanning ZhangIEEE TCSVT · Northwestern Polytechnical University · Institute of Software
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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. 2020
    Semantic Drift Compensation for Class-Incremental LearningLu Yu, Bartłomiej Twardowski, Xialei Liu … Joost van de WeijerCVPR · Universitat Autònoma de Barcelona · Northwestern Polytechnical University · +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.