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.

793 papers of 4,574 · showing 351–400Sort Recent · Most cited
  1. 2024
    Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time AdaptationJiaming Liu, Ran Xu, Senqiao Yang … Shanghang ZhangCVPR · Peking University · University of Hong Kong · +2
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  2. 2024
    Interactive Continual Learning: Fast and Slow ThinkingBiqing Qi, Xinquan Chen, Junqi Gao … Bowen ZhouCVPR · Harbin Institute of Technology
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  3. 2024
    Solving the Catastrophic Forgetting Problem in Generalized Category DiscoveryXinzi Cao, Xiawu Zheng, Guanhong Wang … Yonghong TianCVPR · Sun Yat-sen University · Peng Cheng Laboratory · +2
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  4. 2024
    Generative Multi-modal Models are Good Class-Incremental LearnersXusheng Cao, Haori Lu, Linlan Huang … Ming‐Ming ChengCVPR · Nankai University
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  5. 2024
    ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningBeomyoung Kim, Joonsang Yu, Sung Ju HwangCVPR · NAVER Cloud (South Korea) · Naver (South Korea) · +2
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  6. 2024
    Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-DistillationHongwei Yan, Liyuan Wang, Kaisheng Ma, Yi ZhongCVPR · McGovern Institute for Brain Research · King Center · +1
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  7. 2024
    Text-Enhanced Data-Free Approach for Federated Class-Incremental LearningMinh Tuan Tran, Trung Le, Xuan-May Le … Dinh PhungCVPR · Australian Regenerative Medicine Institute · Monash University · +1
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  8. 2024
    Improving Plasticity in Online Continual Learning via Collaborative LearningMaorong Wang, Nicolas Michel, Ling Xiao, Toshihiko YamasakiCVPR · The University of Tokyo · Université Gustave Eiffel
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  9. 2024
    Overcoming Generic Knowledge Loss with Selective Parameter UpdateWenxuan Zhang, Paul Janson, Rahaf Aljundi, Mohamed ElhoseinyCVPR · Kootenay Association for Science & Technology · King Abdullah University of Science and Technology · +1
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  10. 2024
    Learning Equi-Angular Representations for Online Continual LearningMinhyuk Seo, Hyunseo Koh, Wonje Jeung … Jonghyun ChoiCVPR · Yonsei University · Zhejiang Lab · +1
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  11. 2024
    What, How, and When Should Object Detectors Update in Continually Changing Test Domains?Jayeon Yoo, D.T. Lee, Inseop Chung … Nojun KwakCVPR · Seoul National University
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  12. 2024
    Continual Segmentation with Disentangled Objectness Learning and Class RecognitionYizheng Gong, Siyue Yu, Xiaoyang Wang, Jimin XiaoCVPR · Xi’an Jiaotong-Liverpool University
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  14. 2024
    BrainWash: A Poisoning Attack to Forget in Continual LearningAli Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil KolouriCVPR · Vanderbilt University · University of California, Davis
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  15. 2024
    Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental LearningXialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov … Ming‐Ming ChengCVPR · Nankai University · University of Florence · +1
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  16. 2024
    Enhancing Visual Continual Learning with Language-Guided SupervisionBolin Ni, Hongbo Zhao, Chenghao Zhang … Shiming XiangCVPR · Chinese Academy of Sciences · University of Chinese Academy of Sciences
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  18. 2024
    Towards Backward-Compatible Continual Learning of Image CompressionZhihao Duan, Ming Lu, Justin Yang … Fengqing ZhuCVPR · Purdue University West Lafayette · Nanjing University
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  19. 2024
    Coherent Temporal Synthesis for Incremental Action SegmentationGuodong Ding, Hans Golong, Angela YaoCVPR · National University of Singapore
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  20. 2024
    Reflecting on the State of Rehearsal-free Continual Learning with Pretrained ModelsLukas Thede, Karsten Roth, Olivier J. Hénaff … Zeynep AkataCoLLAs
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  24. 2024
    Diffusion Soup: Model Merging for Text-to-Image Diffusion ModelsBenjamin Biggs, Arjun Seshadri, Yang Zou … Stefano SoattoECCV
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  25. 2024
    Probing Image Compression for Class-Incremental LearningJustin Yang, Zhihao Duan, Andrew C. Peng … Fengqing ZhuPicture Coding Symposium (PCS) · Purdue University West Lafayette
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  26. 2024
    A Statistical Theory of Regularization-Based Continual LearningXuyang Zhao, Hui–Yuan Wang, Weiran Huang, Wei LinICML
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  27. 2024
    Visual Prompt Tuning in Null Space for Continual LearningYue Lu, Shizhou Zhang, De Cheng … Yanning ZhangNeurIPS
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  28. 2024
    Online DPO: Online Direct Preference Optimization with Fast-Slow ChasingBiqing Qi, Pengfei Li, Fangyuan Li … Bowen ZhouarXiv
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  29. 2024
    Revisiting Catastrophic Forgetting in Large Language Model TuningHongyu Li, Liang Ding, Meng Fang, Dacheng TaoEMNLP
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  30. 2024
    CorDA: Context-Oriented Decomposition Adaptation of Large Language ModelsYibo Yang, Xiaojie Li, Zhongzhu Zhou … Bernard GhanemNeurIPS
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  31. 2024
    CLoG: Benchmarking Continual Learning of Image Generation ModelsHaotian Zhang, Junting Zhou, Haowei Lin … Yitao LiangarXiv
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  32. 2024
    Lifelong Learning of Video Diffusion Models From a Single Video StreamJason J. Yoo, He, Yingchen, Naderiparizi, Saeid … Frank WoodarXiv
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  33. 2024
    Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You NeedMartin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni ZappellaarXiv
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  34. 2024PDF ↗
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  37. 2024
    Conditional Language Learning with ContextXiao Zhang, Miao Li, Ji WuICML
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  38. 2024
    Parameterizing Federated Continual Learning for Reproducible ResearchBart Cox, Jeroen M. Galjaard, Aditya Shankar … Lydia Y. ChenPKDD/ECML Workshops
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  39. 2024
    iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous DatasetsMengxi Liu, Sizhen Bian, Bo Zhou, P. LukowiczInternational Workshop on the Semantic Web
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  40. 2024
    AGALE: A Graph-Aware Continual Learning Evaluation FrameworkZhao, Tianqi, Hanjalic, Alan, Khosla, MeghaTMLR
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  47. 2024
    Provable Contrastive Continual LearningYichen Wen, Zhiquan Tan, Kaipeng Zheng … Weiran HuangICML
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  48. 2024
    Learning to Continually Learn with the Bayesian PrincipleSoochan Lee, Hyeonseong Jeon, Jaehyeon Son, Gunhee KimICML
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  49. 2024
    Statistical Context Detection for Deep Lifelong Reinforcement LearningJeffery Dick, Saptarshi Nath, Christos Peridis … Andrea SoltoggioCoLLAs
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  50. 2024
    Auto-selected Knowledge Adapters for Lifelong Person Re-identificationXuelin Qian, Ruiqi Wu, Gong Cheng, Junwei HanarXiv
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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.