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 1451–1500Sort Recent · Most cited
  1. 2025
    Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive FusionYukun Chen, Zihuan Qiu, Fanman Meng … Qingbo WuICASSP · University of Electronic Science and Technology of China
    PDF ↗
  2. 2025
    Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual LearningZhongyi Zhou, Yaxin Peng, Pengxing Yi … Chaomin ShenICASSP · East China Normal University · Shanghai University
    PDF ↗
  3. 2025PDF ↗
  4. 2025
    ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR PersonalizationHaaris Mehmood, Karthikeyan Saravanan, Pablo Peso Parada … Seokyeong JungICASSP · Samsung (United Kingdom) · Samsung (South Korea)
    PDF ↗
  5. 2025PDF ↗
  6. 2025
    Continual Learning for Multiple ModalitiesHyundong Jin, Eunwoo KimarXiv
    PDF ↗
  7. 2025
    Sequential Function-Space Variational Inference via Gaussian Mixture ApproximationMenghao Waiyan William Zhu, Pengcheng Hao, E. KuruoğluarXiv
    PDF ↗
  8. 2025PDF ↗
  9. 2025PDF ↗
  10. 2025PDF ↗
  11. 2025PDF ↗
  12. 2025
    Minion Gated Recurrent Unit for Continual LearningAbdullah M. Zyarah, D. KudithipudiNeurocomputing
    PDF ↗
  13. 2025PDF ↗
  14. 2025PDF ↗
  15. 2025
    Understanding the Limits of Lifelong Knowledge Editing in LLMsLukas Thede, Karsten Roth, Matthias Bethge … Hartvigsen, TomICML
    PDF ↗
  16. 2025PDF ↗
  17. 2025
    Knowledge Retention for Continual Model-Based Reinforcement LearningYixiang Sun, Haotian Fu, Michael L. Littman, George KonidarisICML
    PDF ↗
  18. 2025
    Teach YOLO to Remember: A Self-Distillation Approach for Continual Object DetectionRiccardo De Monte, Davide Dalle Pezze, Gian Antonio SustoarXiv
    PDF ↗
  19. 2025
    CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained ModelsShengzhuang Chen, Liao, Yikai, Xiaoxiao Sun … Ying WeiICLR
    PDF ↗
  20. 2025PDF ↗
  21. 2025
    TAIL: Text-Audio Incremental LearningYingfei Sun, Xu Gu, Wei Ji … Roger ZimmermannarXiv
    PDF ↗
  22. 2025
    PILOT: a pre-trained model-based continual learning toolboxHailong Sun, Dawei Zhou, De‐Chuan Zhan, Han-Jia YeInformation Sciences · Nanjing University
    PDF ↗
  23. 2025
    STAR: Stability-Inducing Weight Perturbation for Continual LearningMasih Eskandar, Tooba Imtiaz, Hill, Davin … Jennifer DyICLR
    PDF ↗
  24. 2025
    A Selective Learning Method for Temporal Graph Continual LearningHanmo Liu, Di Su, Haoyang Li … Lei ChenICML
    PDF ↗
  25. 2025PDF ↗
  26. 2025
    Parabolic Continual LearningHaoming Yang, Ali Hasan, Vahid TarokhAISTATS
    PDF ↗
  27. 2025
    Alchemist: Towards the Design of Efficient Online Continual Learning SystemYuyang Huang, Yuhan Liu, Haryadi S. Gunawi … Hwang ChanghoarXiv
    PDF ↗
  28. 2025
    Advancing Prompt-Based Methods for Replay-Independent General Continual LearningZhiqi Kang, Liyuan Wang, Xingxing Zhang, Karteek AlahariICLR
    PDF ↗
  29. 2025
    Efficient Prompting for Continual Adaptation to Missing ModalitiesZirun Guo, Shulei Wang, Lin Wang … Jin TaoNAACL
    PDF ↗
  30. 2025
    Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental LearningDing, Chenhao, Songlin Dong, Zhengdong Zhou … Yihong GongarXiv
    PDF ↗
  31. 2025PDF ↗
  32. 2025PDF ↗
  33. 2025
    Unsupervised Parameter Efficient Source-free Post-pretrainingAbhishek Jha, T. Tuytelaars, Yuki M. AsanoarXiv
    PDF ↗
  34. 2025
    Few-Shot, No Problem: Descriptive Continual Relation ExtractionThanh Xuan Nguyen, A. Le, Quyen Tran … T. NguyenAAAI
    PDF ↗
  35. 2025PDF ↗
  36. 2025PDF ↗
  37. 2025
    Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable ModelsSusmit Agrawal, Deepika Vemuri, S P, Vineeth N BalasubramanianAAAI
    PDF ↗
  38. 2025
    Online-LoRA: Task-Free Online Continual Learning via Low Rank AdaptationXiwen Wei, Guihong Li, Radu MarculescuWACV · The University of Texas at Austin
    PDF ↗
  39. 2025
    Dam: Dynamic Adapter Merging for Continual Video QA LearningFeng Cheng, Ziyang Wang, Yi-Lin Sung … Gedas BertasiusWACV · University of North Carolina Health Care
    PDF ↗
  40. 2022
    CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question AnsweringYao Zhang, Haokun Chen, Ahmed Frikha … Volker TrespWACV · LMU Klinikum · Ludwig-Maximilians-Universität München · +1
    PDF ↗
  41. 2025
    Inductive Graph Few-shot Class Incremental LearningYayong Li, Peyman Moghadam, Can Peng … Piotr KoniuszWSDM · The University of Queensland · Commonwealth Scientific and Industrial Research Organisation · +2
    PDF ↗
  42. 2025
    One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question AnsweringDeepayan Das, Davide Talon, Massimiliano Mancini … Elisa RicciWACV · University of Trento · Fondazione Bruno Kessler
    PDF ↗
  43. 2025
    Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental LearningParinita Nema, Vinod K KurmiWACV · Indian Institute of Science Education and Research, Bhopal
    PDF ↗
  44. 2025
    Covariance-Based Space Regularization for Few-Shot Class Incremental LearningYijie Hu, Guanyu Yang, Zhaorui Tan … Qiufeng WangWACV · Xi’an Jiaotong-Liverpool University · University of Liverpool · +1
    PDF ↗
  45. 2025
    Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar SelectionHossein Resani, Behrooz Nasihatkon, Mohammadreza Alimoradi JaziWACV · K. N. Toosi University of Technology
    PDF ↗
  46. 2025
    Exploring the Stability Gap in Continual Learning: The Role of the Classification HeadWojciech Łapacz, Daniel Marczak, Filip Szatkowski, T. P. TrzcinskiWACV · Warsaw University of Technology
    PDF ↗
  47. 2025
    Semantic Prompting with Image Token for Continual LearningJisu Han, Jaemin Na, Wonjun HwangWACV · Ajou University
    PDF ↗
  48. 2025PDF ↗
  49. 2025
    Continual Learning of Personalized Generative Face Models with Experience ReplayAnnie N. Wang, Luchao Qi, Roni SenguptaWACV · University of North Carolina at Chapel Hill · University of North Carolina Health Care
    PDF ↗
  50. 2025
    ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental LearningYi Yang, Lei Zhong, Huiping ZhuangWACV · University of Edinburgh · South China University of Technology
    PDF ↗
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.