Related work

The foundational work on continual learning, 1980 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

813 papers of 8,653 · showing 1–50Sort Recent · Most cited
  1. 2023
    A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual LearningNaoki Masuyama, Takanori Takebayashi, Yusuke Nojima … Stefan WermterNeural Computing and Applications · Osaka Prefecture University · University of Malaya · +2
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  2. 2023
    Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-Based Video Incremental LearningShengqin Jiang, Yaoyu Fang, Haokui Zhang … Peng WangIJCV · Nanjing University of Information Science and Technology · Northwestern Polytechnical University · +3
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  3. 2023
    Adapter-RL: Adaptation of Any Agent Using Reinforcement LearningYizhao Jin, Greg Slabaugh, Simon LucasIEEE Transactions · Queen Mary University of London
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  4. 2023
    Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics ModelSayantan Auddy, Jakob Hollenstein, Matteo Saveriano … Justus PiaterIEEE TCDS · Technische Universität Berlin · Universität Innsbruck · +2
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  5. 2023
    Task-Distributionally Robust Data-Free Meta-LearningZixuan Hu, Yongxian Wei, Li Shen … Dacheng TaoTPAMI · Nanyang Technological University · Tsinghua–Berkeley Shenzhen Institute · +6
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  6. 2023
    On the Convergence of Continual Learning with Adaptive MethodsSeungyub Han, Yeongmo Kim, Taehyun Cho, Jungwoo LeeUAI
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  7. 2023
    Towards Robust Graph Incremental Learning on Evolving GraphsJunwei Su, Difan Zou, Zijun Zhang, Chuan WuICML
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  8. 2023PDF ↗
  9. 2023
    AdaER: An Adaptive Experience Replay Approach for Continual Lifelong LearningXingyu Li, Bo Tang, Haifeng LiNeurocomputing · Tulane University · Worcester Polytechnic Institute · +1
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  10. 2023
    Grassmann Graph Embedding for Few-Shot Class Incremental LearningZiqi Gu, Chunyan Xu, Zhen CuiSpringer LNCS · Nanjing University of Science and Technology
  11. 2023
    An ANN-Guided Approach to Task-Free Continual Learning with Spiking Neural NetworksJ. S. Zhang, Wentao Fan, Xin LiuSpringer LNCS · Huaqiao University · Beijing Normal-Hong Kong Baptist University · +2
  12. 2023
    FedViT: Federated continual learning of vision transformer at edgeXiaojiang Zuo, Yaxin Luopan, Rui Han … Lydia Y. ChenFuture Generation Computer Systems · Beijing Institute of Technology · Delft University of Technology
  13. 2023PDF ↗
  14. 2023
    Prompt Pool Based Class-Incremental Continual Learning for Dialog State TrackingHong Liu, Yucheng Cai, Yuan Zhou … Junlan FengIEEE Automatic Speech Recognition and Understanding Works… · China Mobile (China) · Tsinghua University
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  15. 2023
    The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated LearningLillian Zhou, Yuxin Ding, Mingqing Chen … Rajiv MathewsIEEE Automatic Speech Recognition and Understanding Works… · Google (United States)
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  16. 2023
    Dynamic Heterogeneous Federated Learning with Multi-Level PrototypesShunxin Guo, Hongsong Wang, Xin GengPattern Recognition
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  17. 2023
    Continual Adversarial DefenseQian Wang, Hefei Ling, Yingwei Li … Yu NingarXiv
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  18. 2023
    Bayesian Metaplasticity from Synaptic UncertaintyDjohan Bonnet, Tifenn Hirtzlin, Tarcisius Januel … Elisa VianelloarXiv
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  19. 2023
    None-Exemplar Class Incremental Learning with Feature Contrast and Expanded DistillationYao Wang, Hongyu ZhaoInternational Conference on Automation, Robotics and Comp… · Southwest Jiaotong University
  20. 2023
    Read Between the Layers: Leveraging Intra-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained ModelsKyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan WermterTrans. Mach. Learn. Res.
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  21. 2023PDF ↗
  22. 2023
    Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic GeometryYawen Cui, Zitong Yu, Wei Peng … Li LiuIEEE Trans. Multimedia · University of Oulu · Great Bay University · +3
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  23. 2023PDF ↗
  24. 2023PDF ↗
  25. 2023
    IOB: integrating optimization transfer and behavior transfer for multi-policy reuseSiyuan Li, Hao Li, Jin Zhang … Chongjie ZhangAutonomous Agents and Multi-Agent Systems · Harbin Institute of Technology · Northwestern Polytechnical University · +2
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  26. 2023
    Few-Shot Class-Incremental Learning via Training-Free Prototype CalibrationQiwei Wang, Da-Wei Zhou, Yikai Zhang … Han-Jia YeNeurIPS
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  27. 2023
    Cross-Modal Alternating Learning With Task-Aware Representations for Continual LearningWujin Li, Bin-Bin Gao, Bizhong Xia … Feng ZhengIEEE Trans. Multimedia · University Town of Shenzhen · Tsinghua University · +2
  28. 2023
    Continual variational dropout: a view of auxiliary local variables in continual learningNam Le Hai, T.T. Nguyen, Linh Ngo Van … Khoat ThanMachine Learning · FPT University · Hanoi University of Science and Technology · +1
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  29. 2023
    Sharpness and Gradient Aware Minimization for Memory-based Continual LearningLam Tran Tung, Viet Nguyen Van, Phi-Hung Hoang, Khoat ThanInternational Symposium on Information and Communication… · Hanoi University of Science and Technology
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  30. 2023
    Benchmarking Continual Learning from Cognitive PerspectivesXiaoqian Liu, Junge Zhang, Mingyi Zhang, Peipei YangarXiv
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  31. 2023
    AF Adapter: Continual Pretraining for Building Chinese Biomedical Language ModelYongyu Yan, Kui Xue, Xiaoming Shi … Tong RuanIEEE International Conference on Bioinformatics and Biome… · East China University of Science and Technology · Beijing Academy of Artificial Intelligence · +1
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  32. 2023
    Continual Learning: A Review of Techniques, Challenges, and Future DirectionsBuddhi Wickramasinghe, Gobinda Saha, Kaushik RoyIEEE TAI · Purdue University West Lafayette
  33. 2023
    What does KnowBert-UMLS forget?Guilhem Piat, Nasredine Semmar, Julien Tourille … Hassane EssafiACS/IEEE International Conference on Computer Systems and… · Commissariat à l'Énergie Atomique et aux Énergies Alternatives · Laboratoire d'Intégration des Systèmes et des Technologies · +1
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  34. 2023
    CaT: Balanced Continual Graph Learning with Graph CondensationYilun Liu, Ruihong Qiu, Zi HuangICDM · The University of Queensland
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  35. 2023
    Continual Semantic Segmentation via Scalable Contrastive Clustering and Background DiversityQi Yang, Xing Nie, Linsu Shi … Shiming XiangICDM · Chinese Academy of Sciences · Institute of Automation · +1
  36. 2023
    Mixup-Inspired Video Class-Incremental LearningJinqiang Long, Yizhao Gao, Zhiwu LuICDM · Renmin University of China
  37. 2023
    Continual Learning for Image Segmentation With Dynamic QueryWeijia Wu, Yuzhong Zhao, Zhuang Li … Mike Zheng ShouIEEE TCSVT · Zhejiang University · University of Chinese Academy of Sciences · +2
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  38. 2023
    Directions of Curvature as an Explanation for Loss of PlasticityAlex Lewandowski, Haruto Tanaka, Dale Schuurmans, Marlos C. MachadoarXiv
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  39. 2023
    On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of CodeMartin Weyssow, Xin Zhou, Kisub Kim … Houari SahraouiACM Joint European Software Engineering Conference and Sy… · Université de Montréal · Singapore Management University
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  40. 2023
    Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental LearningRuxiao Duan, Jieneng Chen, Adam Kortylewski … Yaoyao LiuarXiv
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  41. 2023
    Continual Learning with Low Rank AdaptationMartin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni ZappellaarXiv
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  42. 2023
    Enhanced Experience Replay for Class Incremental Continual LearningJiafu Hao, Son Lam Phung, Yang Di … Abdesselam BouzerdoumInternational Conference on Digital Image Computing: Tech… · University of Wollongong · Hamad bin Khalifa University
  43. 2023
    Diving into Continual Ultra-fine-grained Visual CategorizationPengcheng Zhang, Xiaohan Yu, Xiao Bai … Yongsheng GaoInternational Conference on Digital Image Computing: Tech… · State Key Laboratory of Software Development Environment · Beihang University · +1
  44. 2023PDF ↗
  45. 2023PDF ↗
  46. 2023
    Gradient-Semantic Compensation for Incremental Semantic SegmentationWei Wei Cong, Yang Cong, Jiahua Dong … Henghui DingIEEE Trans. Multimedia · Shenyang Institute of Automation · Chinese Academy of Sciences · +3
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  47. 2023PDF ↗
  48. 2023
    CL3: Generalization of Contrastive Loss for Lifelong LearningKaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash HarandiJournal of Imaging · Commonwealth Scientific and Industrial Research Organisation · Data61 · +3
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  49. 2023
    CovarNav: Machine Unlearning via Model Inversion and Covariance NavigationAli Abbasi, Chayne Thrash, Elaheh Akbari … Soheil KolouriarXiv
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  50. 2023
    Replay-enhanced Continual Reinforcement LearningTiantian Zhang, Kevin Shen, Zichuan Lin … Deheng YeTMLR
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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. By default it shows the papers we have a reason to trust: published at a venue like NeurIPS, ICML, ICLR, CVPR or TPAMI, or written by someone who has published there, or cited a few hundred times. The rest are one click away under “All papers”. 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.