Related work

The foundational work on continual learning, 1988 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

10 papers of 6,984Sort Recent · Most cited
  1. 2026
    Cross-Sample Relational Fusion: Unifying Domain Generalization and Class-Incremental LearningZhenghe Xie, Yan Wang, Hao Sun … Da-Wei ZhouIEEE Trans. Multimedia
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  2. 2026
    PIC-CMH: Efficient Prompt-Infused Continual Cross-Modal HashingFengling Li, Wenhao Liu, Tianshi Wang … Xiaojun ChangIEEE Trans. Multimedia · University of Technology Sydney · Shandong Normal University · +1
  3. 2026
    Generalizable and Adaptive Continual Learning Framework for AI-Generated Image DetectionHanyi Wang, Jun Lan, Yaoyu Kang … Shilin WangIEEE Trans. Multimedia · Shanghai Jiao Tong University
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  4. 2026
    Constructing Enhanced Mutual Information for Online Class-Incremental LearningHuan Zhang, Fan Lyu, Shenghua Fan … Dingwen WangIEEE Trans. Multimedia · Wuhan University · Institute of Automation
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  5. 2026
    DesCLIP: Robust Continual Learning via General Attribute Descriptions for VLM-Based Visual RecognitionChiyuan He, Zihuan Qiu, Fanman Meng … Hui LiIEEE Trans. Multimedia · University of Electronic Science and Technology of China
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  6. 2026
    Toward Bidirectional Adaptability for Few-Shot Class-Incremental Learning With Forward-Backward Knowledge TransferBingzhi Chen, Zhiming Chen, Sudong Cai … Shengli XieIEEE Trans. Multimedia · Beijing Institute of Technology · Zhuhai Institute of Advanced Technology · +2
  7. 2026
    Alleviating Regional Shortcuts for Few-Shot Class-Incremental LearningHaichen Zhou, Lyu Y, Yixiong Zou … Yuhua LiIEEE Trans. Multimedia · Huazhong University of Science and Technology
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  8. 2026
    Continual Learning Via Gradient-Regularized Based Dynamic Expansion ModelFei Ye, yongcheng zhong, Qihe Liu … ShiJie ZhouIEEE Trans. Multimedia · University of Electronic Science and Technology of China · University of York
  9. 2026
    Debiased Hypernetworks Are Generative Class-Incremental LearnersShaofan Wang, Pengli Guo, Weixing Wang … Baocai YinIEEE Trans. Multimedia · Beijing University of Technology
  10. 2026
    Topology-Evolving Semantic Adaptation for Few-Shot Class-Incremental Action RecognitionXingyu Zhu, Binqian Xu, Jiachao Zhang … Xiangbo ShuIEEE Trans. Multimedia · Nanjing University of Science and Technology · Nanjing Institute of Technology · +1
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. 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.