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.

10 papers of 5,456Sort Recent · Most cited
  1. 2024
    Breaking Information Silos: Global Guided Task Prediction for Class-Incremental LearningChaoshun Hu, Biaohua Ye, Zixuan Chen, Jianhuang LaiSpringer LNCS · Sun Yat-sen University · Ministry of Education of the People's Republic of China · +1
  2. 2024
    Continual Learning From a Stream of APIsEnneng Yang, Zhenyi Wang, Li Shen … Dacheng TaoTPAMI · Northeastern University · University of Maryland, College Park · +4
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  3. 2024
    Continual Learning of Image Classes With Language Guidance From a Vision-Language ModelWentao Zhang, Yujun Huang, Weizhuo Zhang … Ruixuan WangIEEE TCSVT · Sun Yat-sen University · Peng Cheng Laboratory · +1
  4. 2024
    Expand and Merge: Continual Learning with the Guidance of Fixed Text Embedding SpaceYujun Huang, Wentao Zhang, Ruixuan WangIJCNN · Sun Yat-sen University
  5. 2024
    Consistent Prompting for Rehearsal-Free Continual LearningZhanxin Gao, Jun Cen, Xiaobin ChangCVPR · Sun Yat-sen University · Hong Kong University of Science and Technology · +1
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  6. 2024
    Solving the Catastrophic Forgetting Problem in Generalized Category DiscoveryXinzi Cao, Xiawu Zheng, Guanhong Wang … Yonghong TianCVPR · Sun Yat-sen University · Peng Cheng Laboratory · +2
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  7. 2024
    Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution ModelingYuan-Ming Li, Ling-An Zeng, Jingke Meng, Wei‐Shi ZhengIEEE TCSVT · Sun Yat-sen University
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  8. 2024
    Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation DistillationJiyong Li, Dilshod Azizov, Yang Li, Shangsong LiangAAAI · Sun Yat-sen University · Mohamed bin Zayed University of Artificial Intelligence
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  9. 2024
    Generalizable Two-Branch Framework for Image Class-Incremental LearningChao Wu, Xiaobin Chang, Ruixuan WangICASSP · Sun Yat-sen University
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  10. 2024
    Dynamic Task Subspace Ensemble for Class-Incremental LearningWeile Zhang, Yuanjian He, Yulai CongSpringer LNCS · Sun Yat-sen University
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.