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.

162 papers of 4,574 · showing 51–100Sort Recent · Most cited
  1. 2025
    GCAL: Adapting Graph Models to Evolving Domain ShiftsZiyue Qiao, Qianyi Cai, Hao Dong … Hui XiongICML
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  2. 2025
    Learning Dynamics in Continual Pre-Training for Large Language ModelsXingjin Wang, Howe Tissue, Lu Wang … Daniel Dajun ZengICML
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  3. 2025
    Autoencoder-Based Hybrid Replay for Class-Incremental LearningMilad Khademi Nori, Il‐Min Kim, Guanghui WangICML
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  6. 2025
    BECAME: BayEsian Continual Learning with Adaptive Model MErgingMei Li, Yuxiang Lu, Qinyan Dai … Hongtao LuICML
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  8. 2025
    Understanding the Limits of Lifelong Knowledge Editing in LLMsLukas Thede, Karsten Roth, Matthias Bethge … Hartvigsen, TomICML
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  9. 2025
    Knowledge Retention for Continual Model-Based Reinforcement LearningYixiang Sun, Haotian Fu, Michael L. Littman, George KonidarisICML
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  10. 2025
    A Selective Learning Method for Temporal Graph Continual LearningHanmo Liu, Di Su, Haoyang Li … Lei ChenICML
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  11. 2025
    From RAG to Memory: Non-Parametric Continual Learning for Large Language ModelsBernal Jiménez Gutiérrez, Yiheng Shu, Weijian Qi … Yu SuICML
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  12. 2025
    Knowledge Swapping via Learning and UnlearningXing, Mingyu, Lechao Cheng, S Y Tang … Meng WangICML
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  13. 2025
    Navigating Semantic Drift in Task-Agnostic Class-Incremental LearningFangwen Wu, Lechao Cheng, Shengeng Tang … Meng WangICML
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  14. 2025
    Reinforced Lifelong Editing for Language ModelsZherui Li, Jiang, Houcheng, Hao Chen … Xiang WangICML
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  15. 2025
    Demystifying Catastrophic Forgetting in Two-Stage Incremental Object DetectorQirui Wu, Shizhou Zhang, De Cheng … Yanning ZhangICML
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  16. 2025
    Upweighting Easy Samples in Fine-Tuning Mitigates ForgettingSunny Sanyal, Hayden Prairie, Rudrajit Das … Sujay SanghaviICML
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  21. 2024
    Expert Routing with Synthetic Data for Continual LearningYewon Byun, Sanket Vaibhav Mehta, Saurabh Garg … Zachary C. LiptonICML
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  23. 2025
    Large Continual Instruction AssistantJingyang Qiao, Zhang, Zhizhong, Xin Tan … Yuan XieICML
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  24. 2025
    Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?Guiomar Pescador-Barrios, Sarah Filippi, Mark van der WilkICML
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  25. 2024
    An Effective Dynamic Gradient Calibration Method for Continual LearningWei-Chen Lin, Jiaxiang Chen, Ruomin Huang, Hu DingICML
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  26. 2024
    An Attention-based Representation Distillation Baseline for Multi-Label Continual LearningMartin Menabue, Emanuele Frascaroli, M. Boschini … Simone CalderaraICML
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  29. 2024
    A Statistical Theory of Regularization-Based Continual LearningXuyang Zhao, Hui–Yuan Wang, Weiran Huang, Wei LinICML
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  31. 2024
    Conditional Language Learning with ContextXiao Zhang, Miao Li, Ji WuICML
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  32. 2024
    Provable Contrastive Continual LearningYichen Wen, Zhiquan Tan, Kaipeng Zheng … Weiran HuangICML
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  33. 2024
    Learning to Continually Learn with the Bayesian PrincipleSoochan Lee, Hyeonseong Jeon, Jaehyeon Son, Gunhee KimICML
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  34. 2024
    Compositional Few-Shot Class-Incremental LearningYixiong Zou, Shanghang Zhang, Haichen Zhou … Ruixuan LiICML
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  36. 2024
    Position: Lifetime tuning is incompatible with continual reinforcement learningGolnaz Mesbahi, Parham Mohammad Panahi, Olya Mastikhina … Adam WhiteICML
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  37. 2025
    Improving Continual Learning Performance and Efficiency with Auxiliary ClassifiersFilip Szatkowski, Zheng, Yaoyue, Fei Yang … Joost van de WeijerICML
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  39. 2023
    Towards Robust Graph Incremental Learning on Evolving GraphsJunwei Su, Difan Zou, Zijun Zhang, Chuan WuICML
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  41. 2024
    Layerwise Proximal Replay: A Proximal Point Method for Online Continual LearningJason J. Yoo, Yunpeng Liu, Frank Wood, Geoff PleissICML
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  42. 2025
    Where is the Truth? The Risk of Getting Confounded in a Continual WorldFlorian Peter Busch, Roshni Kamath, Rupert Mitchell … Martin MundtICML
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  45. 2024
    Neighboring Perturbations of Knowledge Editing on Large Language ModelsJun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen GuICML
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  46. 2022
    Continual Learning via Sequential Function-Space Variational InferenceTim G. J. Rudner, Freddie Bickford Smith, Qixuan Feng … Yarin GalICML
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  47. 2024
    Learning in Deep Factor Graphs with Gaussian Belief PropagationSeth Nabarro, Mark van der Wilk, Andrew J. DavisonICML
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  48. 2024
    One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual LearningDoyoung Kim, Susik Yoon, Dongmin Park … Jae-Gil LeeICML
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  49. 2024
    STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized AlignmentJaewoo Lee, Jaehong Yoon, Wonjae Kim … Sung Ju HwangICML
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  50. 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, 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.