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.

19 papers of 6,984Sort Recent · Most cited
  1. 2024
    AGALE: A Graph-Aware Continual Learning Evaluation FrameworkZhao, Tianqi, Hanjalic, Alan, Khosla, MeghaTMLR
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  2. 2024
    IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual LearningPrashant Bhat, Bharath Renjith, Elahe Arani, Bahram ZonoozTMLR
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  3. 2024PDF ↗
  4. 2024
    A Bag of Tricks for Few-Shot Class-Incremental LearningShuvendu Roy, Chunjong Park, Aldi Fahrezi, Ali EtemadTMLR
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  5. 2024
    Simple and Scalable Strategies to Continually Pre-train Large Language ModelsAdam Ibrahim, Benjamin Therien, Kshitij Gupta … Irina RishTMLR
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  6. 2024
    Concept-Driven Continual LearningSin-Han Yang, Tuomas P. Oikarinen, T. WengTMLR
  7. 2024
    Revealing an Overlooked Challenge in Class-Incremental Graph LearningDaiqing Qi, Handong Zhao, Xiaowei Jia, Sheng LiTMLR
  8. 2024
    Continual Learning: Applications and the Road ForwardEli Verwimp, Rahaf Aljundi, Shai Ben-David … Gido M. van de VenTMLR
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  9. 2024
    Online Continual Learning via Logit Adjusted SoftmaxZhehao Huang, Tao Li, Chenhe Yuan … Xiaolin HuangTMLR
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  10. 2024
    Fine-tuning can cripple your foundation model; preserving features may be the solutionJishnu Mukhoti, Yarin Gal, Philip H. S. Torr, Puneet K. DokaniaTMLR
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  11. 2024PDF ↗
  12. 2024
    Continual Adaptation of Vision Transformers for Federated LearningShaunak Halbe, Smith, James Seale, Junjiao Tian, Zsolt KiraTMLR
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  13. 2024PDF ↗
  14. 2024
    Overcoming the Stability Gap in Continual LearningMd Yousuf Harun, Christopher KananTMLR
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  15. 2024
    Voyager: An Open-Ended Embodied Agent with Large Language ModelsGuanzhi Wang, Yuqi Xie, Yunfan Jiang … Anima AnandkumarTMLR
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  16. 2024
    Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRASmith, James Seale, Yen-Chang Hsu, Lingyu Zhang … Hongxia JinTMLR
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  17. 2024PDF ↗
  18. 2024
    CoDeC: Communication-Efficient Decentralized Continual LearningSakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik RoyTMLR
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  19. 2024PDF ↗
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.