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.

761 papers of 4,574 · showing 401–450Sort Recent · Most cited
  1. 2026
    (How) Learning Rates Regulate Catastrophic OvertrainingMark Rofin, Aditya Varre, Nicolas FlammarionarXiv
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  4. 2026
    MAny: Merge Anything for Multimodal Continual Instruction TuningZijian Gao, Wangwang Jia, Xingxing Zhang … Kele XuarXiv
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  5. 2026
    CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic ModelingKarthik Singaravadivelan, Anant Gupta, Zekun Wang, Christopher MaclellanACL
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  6. 2026
    ReConText3D: Replay-based Continual Text-to-3D GenerationMuhammad Ahmed Ullah Khan, Muhammad Haris Bin Amir, Didier Stricker, Muhammad Zeshan AfzalarXiv
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  7. 2026
    BID-LoRA: A Parameter-Efficient Framework for Continual Learning and UnlearningJagadeesh Rachapudi, Ritali Vatsi, Praful Hambarde, Amit ShuklaarXiv
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  9. 2026
    Mitigating Catastrophic Forgetting With Adaptive Transformer Block Expansion in Federated Fine-TuningYujia Huo, Jianchun Liu, Hongli Xu … Liusheng HuangIEEE Transactions · University of Science and Technology of China · China University of Mining and Technology
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  10. 2026
    DECODE: Domain-Aware Continual Domain Expansion for Motion PredictionBoqi Li, Haojie Zhu, Henry LiuTPAMI · University of Michigan
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  11. 2026
    A Faster Path to Continual LearningWei Li, Hangjie Yuan, Zixiang Zhao … Tao FengCVPR
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  12. 2026
    HiEdit: Lifelong Model Editing with Hierarchical Reinforcement LearningYangfan Wang, Tianyang Sun, Chen Tang … Jingchi JiangACL
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  14. 2026
    Model Editing for New Document Integration in Generative Information RetrievalZ C Zhang, Zihan Wang, Xinyu Ma … Zhaochun RenACM Web Conference 2026 · Shandong University · Qingdao University · +4
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  15. 2026
    A Layer-wise Analysis of Supervised Fine-TuningQinghua Zhao, Xueling Gong, Xinyu Chen … Xinlu LiACL
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  16. 2026
    Singular Value Fine-Tuning for Few-Shot Class-Incremental LearningZhiwu Wang, Yichen Wu, Renzhen Wang … Deyu MengIEEE TCSVT · Xi'an Jiaotong University · City University of Hong Kong
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  18. 2026
    SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement LearningMaksim Anisimov, Francesco Belardinelli, Matthew WickerarXiv · Imperial College London
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  19. 2026
    Generalized Incremental Learning under Concept Drift across Evolving Data StreamsEn Yu, Jie Lü, Guangquan ZhangWWW · University of Technology Sydney
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  20. 2026
    Self-Evolving LLMs via Continual Instruction TuningJiazheng Kang, Le Huang, Cheng Hou … Ting BaiACM Web Conference 2026 · Beijing University of Posts and Telecommunications
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  22. 2026
    Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics AggregationZenghao Guan, Guojun Zhu, Zhou Yucan … Xiaoyan GuWWW · Institute of Information Engineering · University of Chinese Academy of Sciences · +3
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  23. 2026
    Symbiotic-MoE: Unlocking the Synergy between Generation and UnderstandingXiangyue Liu, Zijian Zhang, Miles Yang … Ping TanarXiv
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  24. 2026
    We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series ClassificationZhipeng Liu, Peibo Duan, Xuan Tang … Binwu WangACM Web Conference 2026 · Northeastern University · Xi'an Jiaotong University · +2
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  25. 2026
    E2PL: Effective and Efficient Prompt Learning for Incomplete Multi-view Multi-Label Class Incremental LearningJiajun Chen, Yue Wu, Kai Huang … Guanjie ChengACM Web Conference 2026 · Zhejiang University · Ningbo University
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  29. 2026
    Fast Spatial Memory with Elastic Test-Time TrainingZiqiao Ma, Xueyang Yu, Haoyu Zhen … Chuang GanarXiv
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  30. 2026
    In-Place Test-Time TrainingGuhao Feng, Shengjie Luo, Kai Hua … Tianle CaiarXiv
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  31. 2026
    Continual Visual Anomaly Detection on the Edge: Benchmark and Efficient SolutionsManuel Barusco, Francesco Borsatti, David Petrovic … Gian Antonio SustoarXiv
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  33. 2026
    LifelongPR: Lifelong Point Cloud Place Recognition Based on Sample Replay and Prompt LearningXianghong Zou, Jianping Li, Zhe Chen … Bisheng YangIEEE T-ITS · Nanchang University · Nanyang Technological University
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  34. 2026
    Improving Sparse Memory FinetuningSatyam Goyal, Anirudh Kanchi, Garv Shah, Prakhar GuptaarXiv
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  36. 2026
    When Modalities Remember: Continual Learning for Multimodal Knowledge GraphsLinyu Li, Zhi Jin, Yichi Zhang … Nyima TashiarXiv
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  40. 2026
    Robust Embodied Perception in Dynamic Environments via Disentangled Weight FusionJuncen Guo, Xiaoguang Zhu, Jingyi Wu … Liang SongarXiv
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  41. 2026
    CL-VISTA: Benchmarking Continual Learning in Video Large Language ModelsHaiyang Guo, Yichen Shi, Fei Zhu … Xu-Yao ZhangarXiv
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  42. 2026
    ProTPS: Prototype-Guided Text Prompt Selection for Continual LearningJie Mei, Li-Leng Peng, Keith Fuller, Jenq-Neng HwangarXiv
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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.