Related work

The foundational work on continual learning, 1989 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

8 papers of 5,456Sort Recent · Most cited
  1. 2026
    Incomplete cross-modality class-incremental learning in visible-thermal recognitionXinjie Yao, Yanxian Bi, Yu Wang … Qinghua HuPattern Recognition · Kunming University of Science and Technology · Tianjin University · +5
  2. 2025
    Reducing Class-wise Confusion for Incremental Learning with Disentangled ManifoldsHuitong Chen, Yu Wang, Yan Fan … Qinghua HuCVPR · Tianjin University
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  3. 2025
    SPARK: Simple and Parameter-Free Knowledge Embedding With Fuzzy Cognitive Maps for Class Incremental LearningYu Wang, Jiabo Xie, Junyan Zheng … Qinghua HuIEEE Transactions · Tianjin University
  4. 2025
    DOTA: Distributional Test-Time Adaptation of Vision-Language ModelsZongbo Han, Jia-Long Yang, Junfa Li … Changqing ZhangNeurIPS
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  5. 2024
    Dynamic Sub-graph Distillation for Robust Semi-supervised Continual LearningYan Fan, Yu Wang, Pengfei Zhu, Qinghua HuAAAI · Tianjin University
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  6. 2024
    Layer-Specific Knowledge Distillation for Class Incremental Semantic SegmentationQilong Wang, Yiwen Wu, Yang Liu … Qinghua HuTIP · Tianjin University · Harbin Institute of Technology · +1
  7. 2022
    Curiosity-Driven Class-Incremental Learning via Adaptive Sample SelectionQinghua Hu, Yucong Gao, Bing CaoIEEE TCSVT · Tianjin University
  8. 2022
    Multi-Granularity Regularized Re-Balancing for Class Incremental LearningHuitong Chen, Yu Wang, Qinghua HuTKDE · Tianjin University · Tianjin haihe hospital
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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 written 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.