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.

4,574 papers · showing 1701–1750Sort Recent · Most cited
  1. 2025
    Contrastive Continual Multiview Clustering With Filtered Structural FusionXinhang Wan, Jiyuan Liu, Hao Yu … En ZhuTNNLS · National University of Defense Technology · Harbin University of Science and Technology
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  2. 2024
    Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual LearningChen Gong, Zhenzhe Zheng, Fan Wu … Guihai ChenAnnual International Conference on Mobile Computing and N… · Shanghai Jiao Tong University · Beijing Institute of Big Data Research
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  3. 2024
    FCL-ViT: Task-Aware Attention Tuning for Continual LearningAnestis Kaimakamidis, Ioannis PitasPattern Recognition Letters
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  4. 2024
    Continual Learning With Embedding Layer Surgery and Task-Wise Beam Search Using WhisperC. Kwok, J. Yip, E. ChngSpoken Language Technology Workshop
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  5. 2025
    Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature RichnessJaeill Kim, W. C. Lee, Moonjung Eo, Wonjong RheeNeural Networks · CHA University Bundang Medical Center · Seoul National University · +1
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  6. 2024
    Advancing Continual Learning for Robust Deepfake Audio ClassificationFeiyi Dong, Qingchen Tang, Yichen Bai, Zihan WangTENCON 2024 - 2024 IEEE Region 10 Conference (TENCON) · UNSW Sydney
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  7. 2024PDF ↗
  8. 2024PDF ↗
  9. 2024
    Deep evolving semi-supervised anomaly detectionJack Belham, Bhosale, Aryan, Samrat Kumar Mukherjee … Fabio CuzzolinarXiv
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  10. 2024
    Analytic Class Incremental Learning for Sound Source Localization With Privacy ProtectionXinyuan Qian, Xianghu Yue, Jiadong Wang … Haizhou LiIEEE Signal Processing Letters · University of Science and Technology Beijing · National University of Singapore · +4
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  11. 2024
    Incremental Multi-Scene Modeling via Continual Neural Graphics PrimitivesPrajwal Singh, Ashish Tiwari, Gautam Vashishtha, Shanmuganathan RamanarXiv
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  12. 2024
    DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual LearningHaiyang Guo, Fei Zhu, Fanhu Zeng … Xu-Yao ZhangarXiv
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  13. 2024
    Probabilistic metaplasticity for continual learning with memristors in spiking networksFatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha KudithipudiScientific Reports · The University of Texas at San Antonio
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  14. 2025
    Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-Based Semantic SegmentationNiharika Hegde, Shishir Muralidhara, René Schuster, Didier StrickerWACV
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  15. 2024
    Reward Incremental Learning in Text-to-Image GenerationMaorong Wang, Jiafeng Mao, Xueting Wang, Toshihiko YamasakiarXiv
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  16. 2025
    A Survey on Knowledge Editing of Neural NetworksVittorio Mazzia, Alessandro Pedrani, Andrea Caciolai … Davide BernardiTNNLS · Amazon (United States)
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  17. 2025PDF ↗
  18. 2024
    Soft-TransFormers for Continual LearningKang, Haeyong, Chang D. YooarXiv
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  19. 2024PDF ↗
  20. 2024
    Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay BuffersGautham Vasan, Mohamed Elsayed, Alireza Azimi … A. Rupam MahmoodNeurIPS
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  21. 2024
    Dealing with Synthetic Data Contamination in Online Continual LearningMaorong Wang, Nicolas Michel, Jiafeng Mao, Toshihiko YamasakiNeurIPS
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  22. 2024
    Federated Continual Learning for Edge-AI: A Comprehensive SurveyZi Wang, Fei Wu, Feng Yu … Geyong MinarXiv
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  23. 2024
    PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental LearningHaiyang Guo, Fei Zhu, Wenzhuo Liu … Cheng‐Lin LiuECCV · Chinese Academy of Sciences · Shandong Institute of Automation · +2
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  24. 2024
    CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental LearningSonglin Dong, Xinyuan Gao, Yuhang He … Yihong GongIEEE TCSVT · Xi'an Jiaotong University · Nanyang Technological University
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  25. 2025
    Continual Learning in the Presence of RepetitionHamed Hemati, Lorenzo Pellegrini, X.W. Duan … Gido M. van de VenNeural Networks · University of St.Gallen · University of Applied Sciences St. Gallen · +10
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  26. 2024
    Active Continual Learning: On Balancing Knowledge Retention and LearnabilityThuy-Trang Vu, Shahram Khadivi, Mahsa Ghorbanali … Gholamreza HaffariSpringer LNCS · Kleinwächter (Germany) · Monash University
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  27. 2025
    VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMsKeer Lu, Keshi Zhao, Zhang, Zhuoran … Wentao ZhangEMNLP
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  28. 2024
    Continual Task Learning through Adaptive Policy Self-CompositionShengchao Hu, Yuhang Zhou, Ziqing Fan … Dacheng TaoarXiv
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  29. 2024
    AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for AstronomyRui Pan, Tuan Dung Nguyen, Hardik Arora … Yuan-Sen TingSC24-W: Workshops of the International Conference for Hig… · University of Illinois Urbana-Champaign · University of Pennsylvania · +6
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  30. 2024
    Improving Task-Incremental Human Activity Recognition with Plasticity TechniquesF. G. Brabes da S., W. S. Lima, A. Anjos da S. … C. GhediniAnais do XII Symposium on Knowledge Discovery, Mining and…
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  31. 2024
    Stable Continual Reinforcement Learning via Diffusion-based Trajectory ReplayFeng Chen, Fuguang Han, Cong Guan … Zongzhang ZhangarXiv
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  32. 2025
    A unifying framework for generalised Bayesian online learning in non-stationary environmentsGerardo Duràn-Martín, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff, Kevin MurphyTMLR
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  33. 2025
    A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningZhenyi Wang, Enneng Yang, Li Shen, Heng HuangTPAMI · University of Maryland, College Park · Northeastern University · +1
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  34. 2024
    FedRewind: Rewinding Continual Model Exchange for Decentralized Federated LearningLuca Palazzo, Matteo Pennisi, Federica Proietto Salanitri … Concetto SpampinatoICPR
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  35. 2025PDF ↗
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  37. 2025PDF ↗
  38. 2024
    Continual compression model for online continual learningFei Ye, Adrian G. BorşApplied Soft Computing · University of Electronic Science and Technology of China · Chengdu University of Information Technology · +1
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  39. 2024
    An Efficient Memory Module for Graph Few-Shot Class-Incremental LearningDong Li, Aijia Zhang, Junqi Gao, Biqing QiNeurIPS
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  40. 2026
    Continual Memorization of Factoids in Language ModelsHoward Chen, Jiayi Geng, Adithya Bhaskar … Danqi ChenTMLR
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  41. 2025PDF ↗
  42. 2024
    Slowing Down Forgetting in Continual Learning: Evidence from ManufacturingPascal Janetzky, T. Schlagenhauf, Michael Klar, S. FeuerriegelKDD
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  43. 2024PDF ↗
  44. 2024
    Dynamic Textual Prompt For Rehearsal-free Lifelong Person Re-identificationHongyu Chen, Bingliang Jiao, Wenxuan Wang, Peng WangarXiv
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  45. 2024
    Towards Lifelong Few-Shot Customization of Text-to-Image DiffusionNan Song, Xiaofeng Yang, Ze Yang, Guosheng LinarXiv
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  46. 2024
    Plasticity Loss in Deep Reinforcement Learning: A SurveyTimo Klein, Luther, Christoph, McAuliffe, Manus … Sebastian TschiatschekarXiv
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  47. 2026
    Privacy Leakage via Output Label Space and Differentially Private Continual LearningMarlon Tobaben, Alrawajfeh, Talal, Marcus Klasson … Antti HonkelaTMLR
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  48. 2025
    Language-Inspired Relation Transfer for Few-Shot Class-Incremental LearningYifan Zhao, Jia Li, Zeyin Song, Yonghong TianTPAMI · Beihang University · Peking University
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  49. 2024
    Non-Stationary Learning of Neural Networks with Automatic Soft Parameter ResetAlexandre Galashov, Michalis K. Titsias, András György … Maneesh SahaniNeurIPS
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  50. 2024
    Continual Audio-Visual Sound SeparationWeiguo Pian, Yiyang Nan, Shijian Deng … Yapeng TianNeurIPS
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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.