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.

22 papers of 4,574Sort Recent · Most cited
  1. 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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  2. 2025
    DSS-Prompt: Dynamic-Static Synergistic Prompting for Few-Shot Class-Incremental LearningLinpu He, Yanan Li, Bingze Li … Donghui WangACM International Conference on Multimedia · Zhejiang University of Science and Technology · Zhejiang Lab · +1
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  3. 2025
    Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck ModelsSongning Lai, Mingqian Liao, Zhangyi Hu … Yutao YueACM International Conference on Multimedia · Qingdao Center of Resource Chemistry and New Materials · University of Hong Kong · +3
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  4. 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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  5. 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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  6. 2025
    Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation DetectorsBing Wang, Ximing Li, Mengzhe Ye … Lin WuACM International Conference on Multimedia · Jilin University · Jilin Province Science and Technology Department · +3
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  7. 2025
    Serial Over Parallel: Learning Continual Unification for Multi-Modal Visual Object Tracking and BenchmarkingZhangyong Tang, Tianyang Xu, Xuefeng Zhu … Josef KittlerACM International Conference on Multimedia · Jiangnan University · Nanjing University of Science and Technology · +1
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  8. 2025
    Cross-Domain Attribute Alignment with CLIP: A Rehearsal-Free Approach for Class-Incremental Unsupervised Domain AdaptationKerun Mi, Guoliang Kang, Guangyu Li … Chen GongACM International Conference on Multimedia · Nanjing University of Science and Technology · Beihang University · +1
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  9. 2025
    Online Continual Learning via Dynamic Expandable Recursive ModelFei Ye, Adrian G. BorşACM International Conference on Multimedia · University of Electronic Science and Technology of China · Chengdu University of Information Technology · +1
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  10. 2025
    Exploring Multimodal Prompts For Unsupervised Continuous Anomaly DetectionMingle Zhou, Jiahui Liu, Jin Wan … Min LiACM International Conference on Multimedia · Qilu University of Technology · Shandong Academy of Sciences
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  11. 2024
    CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual LearningYu Feng, Zhen Tian, Yifan Zhu … Meina SongACM International Conference on Multimedia · Beijing University of Posts and Telecommunications
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  12. 2024
    Low-rank Prompt Interaction for Continual Vision-Language RetrievalW. B. Yan, Ye Wang, Lin Wang … Tao JinACM International Conference on Multimedia · Zhejiang University
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  13. 2024
    Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual LearningLei Liu, Li Liu, Yawen CuiACM International Conference on Multimedia · Hong Kong University of Science and Technology · Shenzhen Research Institute of Big Data · +3
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  14. 2024
    Prompting Continual Person SearchPengcheng Zhang, Xiaohan Yu, Bai Xiao … Xin NingACM International Conference on Multimedia · Beihang University · Macquarie University · +2
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  15. 2024
    Sustainable Self-evolution Adversarial TrainingWenxuan Wang, Chenglei Wang, Huihui Qi … Yanning ZhangACM International Conference on Multimedia · Northwestern Polytechnical University
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  16. 2023
    Handling Label Uncertainty for Camera Incremental Person Re-IdentificationZexian Yang, Dayan Wu, Wanqian Zhang … Weipinng WangACM International Conference on Multimedia · Institute of Information Engineering · University of Chinese Academy of Sciences · +1
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  17. 2023
    UER: A Heuristic Bias Addressing Approach for Online Continual LearningHuiwei Lin, Shanshan Feng, Baoquan Zhang … Yunming YeACM International Conference on Multimedia · Harbin Institute of Technology
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  18. 2022
    Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class RepresentationGuangchen Shi, Yirui Wu, Jun Liu … Tong LüACM International Conference on Multimedia · Hohai University · Singapore University of Technology and Design · +3
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  19. 2022
    Class Gradient Projection For Continual LearningCheng Chen, Ji Zhang, Jingkuan Song, Lianli GaoACM International Conference on Multimedia · University of Electronic Science and Technology of China · Peng Cheng Laboratory
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  20. 2021
    Co-Transport for Class-Incremental LearningDa-Wei Zhou, Han-Jia Ye, De‐Chuan ZhanACM International Conference on Multimedia · Nanjing University
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  21. 2021
    An EM Framework for Online Incremental Learning of Semantic SegmentationShipeng Yan, Jiale Zhou, Jiangwei Xie … Xuming HeACM International Conference on Multimedia · ShanghaiTech University · Shanghai Institute of Microsystem and Information Technology · +1
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  22. 2021
    When Video Classification Meets Incremental ClassesHanbin Zhao, Xin Qin, Shihao Su … Xi LiACM International Conference on Multimedia · Zhejiang 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.