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.

29 papers of 4,574Sort Recent · Most cited
  1. 2026
    Hyperbolic Multimodal Continual LearningJiahong Liu, Ming Shen, Xiaohao Liu … Irwin KingICML
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  2. 2026PDF ↗
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  6. 2026
    ECA: Efficient Continual Alignment for Open-Ended Image-to-Text GenerationJiangtao Kong, Peijun Zhao, Chun-Fu Chen … Huajie ShaoICML
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  7. 2026
    Preserving Plasticity in Continual Learning via Dynamical IsometryAndries Rosseau, Robert Müller, Ann NowéICML
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  8. 2026PDF ↗
  9. 2026
    Active Continual Learning with Metaplastic Binary Bayesian Neural NetworksKellian Cottart, Théo Ballet, Djohan Bonnet, Damien QuerliozICML
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  10. 2026PDF ↗
  11. 2026
    Janus-LoRA: A Balanced Low-Rank Adaptation for Continual LearningCheng Chen, Pengpeng Zeng, Yuyu Guo … Jingkuan SongICML
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  12. 2026
    Energy-Structured Low-Rank Adaptation for Continual LearningLonghua Li, Lei Qi, Qi Tian, Xin GengICML
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  13. 2026
    Continual Segmentation under Joint NonstationarityPrashant Pandey, Himanshu Kumar, Devineni Sri Venkatraya Chowdary, Brejesh LallICML
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  14. 2026
    Continual Learning of Domain-Invariant RepresentationsPascal Janetzky, Tobias Schlagenhauf, Stefan FeuerriegelICML
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  15. 2026
    Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?Mohammad Ali Vahedifar, Abhisek Ray, Qi ZhangICML
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  16. 2026PDF ↗
  17. 2026
    Online Continual Learning with Dynamic Label HierarchiesXinrui Wang, Shao-Yuan Li, Bartłomiej Twardowski … Songcan ChenICML
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  18. 2026PDF ↗
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  20. 2026
    Skill Neologisms: Towards Skill-based Continual LearningAntonin Berthon, Nicolás Astorga, Mihaela van der SchaarICML
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  21. 2026
    XSkill: Continual Learning from Experience and Skills in Multimodal AgentsGuanyu Jiang, Zhaochen Su, Xiaoye Qu, Y. K. Catherine FungICML
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  22. 2026PDF ↗
  23. 2026
    Advancing Analytic Class-Incremental Learning through Vision-Language CalibrationBinyu Zhao, Wei Zhang, Xingrui Yu … Ivor W. TsangICML
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  24. 2026
    MePo: Meta Post-Refinement for Rehearsal-Free General Continual LearningGuanglong Sun, Hongwei Yan, Liyuan Wang … Yi ZhongICML
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  25. 2026PDF ↗
  26. 2026PDF ↗
  27. 2026
    SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction TuningZhen-Hao Xie, Jun-Tao Tang, Yu-Cheng Shi … Da-Wei ZhouICML
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  28. 2026
    Spectral Imbalance Causes Forgetting in Low-Rank Continual AdaptationHao Gu, Mao-Lin Luo, Zi-Hao Zhou … Tong WeiICML
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  29. 2026
    Self-Distillation Enables Continual LearningIdan Shenfeld, Mehul Damani, Jonas Hübotter, Pulkit AgrawalICML
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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.