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.

960 papers of 4,574 · showing 201–250Sort Recent · Most cited
  1. 2025
    Source-Free Cross-Domain Continual LearningMuhammad Tanzil Furqon, Mahardhika Pratama, Igor Škrjanc … Kutluyıl DoğançayarXiv
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  2. 2025
    Building adaptive knowledge bases for evolving continual learning modelsJack Julian, Yun Sing Koh, Albert Bifetnpj Artificial Intelligence · University of Auckland · Télécom Paris · +2
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  3. 2025
    Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series ForecastingNouha Karaouli, Denis Coquenet, Élisa Fromont … Marina ReybozarXiv · Institut de Recherche en Informatique et Systèmes Aléatoires · Université de Rennes · +7
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  4. 2025
    Energy-Regularized Sequential Model Editing on HyperspheresQingyuan Liu, Jianfa Gu, Yao, Yunzhi … Nanyun PengarXiv
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  7. 2025
    Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of PlasticityAmir Joudaki, Giulia Lanzillotta, Mohammad Samragh Razlighi … Fartash FaghriarXiv
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  9. 2025
    PromptDSI: Prompt-Based Rehearsal-Free Continual Learning for Document RetrievalTuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang … Thanh-Toan DoSpringer LNCS · Monash University
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  12. 2025
    Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward FunctionsRaúl de la Rosa, Ivana Dusparić, Nicolás CardozoIEEE International Conference on Autonomic Computing and… · Universidad de Los Andes · Trinity College Dublin
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  13. 2025
    LEAF: A Robust Expert-Based Framework for Few-Shot Continual Event DetectionBao-Ngoc Dao, Quang Uy Nguyen, Luyen Ngo Dinh … Linh Ngo VanarXiv
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  14. 2025
    Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion ModelsZe-Kun Wang, Anant Gupta, Zi-Han Dong, Christopher J. MacLellanarXiv
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  18. 2025
    Toward a Holistic Approach to Continual Model MergingHoang Phan, Sungmin Cha, T. Tran, Qi LeiarXiv
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  19. 2025
    CLAD-Net: Continual Activity Recognition in Multi-Sensor Wearable SystemsReza Rahimi Azghan, Gautham Krishna Gudur, Mohit Malu … Hassan GhasemzadeharXiv
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  22. 2025
    Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic ForgettingAsher Hancock, Xindi Wu, Lihan Zha … Anirudha MajumdararXiv
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  24. 2025
    Spectral Collapse Drives Loss of Plasticity in Deep Continual LearningNaicheng He, Kaicheng Guo, Arjun Prakash … George KonidarisICML
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  27. 2025
    In-Context Learning can Perform Continual Learning Like HumansLiuwang Kang, Fan Wang, Shaoshan Liu … Ning DingarXiv
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  28. 2025
    Lifelong Learning with Behavior Consolidation for Vehicle RoutingJiyuan Pei, Yi Mei, Jialin Liu … Xin YaoarXiv
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  31. 2025
    Task-Agnostic Federated Continual Learning via Replay-Free Gradient ProjectionSeohyeon Cha, Huancheng Chen, Haris VikaloTrans. Mach. Learn. Res.
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  34. 2025
    Policy Compatible Skill Incremental Learning via Lazy Learning InterfaceDaehee Lee, Dong-Su Lee, TaeYoon Kwack … Honguk WooNeurIPS
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  35. 2025
    A Unified Noise-Curvature View of Loss of TrainabilityGunbir Singh Baveja, Alex Lewandowski, Mark SchmidtarXiv
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  36. 2025
    Adaptive Model Ensemble for Continual LearningYuchuan Mao, Zhi Gao, Xiaomeng Fan … Chenchen JingarXiv
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  37. 2025
    Dynamic Dual-level Defense Routing for Continual Adversarial TrainingWen-Xuan Wang, Chenglei Wang, Xue-Lin QianarXiv
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  38. 2025
    Predictive Coding-based Deep Neural Network Fine-tuning for Computationally Efficient Domain AdaptationMatteo Cardoni, Sam LerouxInternational Workshop on Affective Interactions
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  44. 2025
    An Unlearning Framework for Continual LearningSayanta Adhikari, Vishnuprasadh Kumaravelu, P. K. SrijitharXiv
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  47. 2025
    CoRe-KD: Contrastive Multi-Teacher and Retention-Aware Knowledge Distillation for Continual Multilingual Neural Machine TranslationLin Zhou, Degen HuangData Intelligence · Dalian University of Technology · Dalian University · +1
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  50. 2025
    VidCLearn: A Continual Learning Approach for Text-to-Video GenerationLuca Zanchetta, Lorenzo Papa, Luca Maiano, Irene AmeriniInternational Conference on Image Analysis and Processing
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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.