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.

505 papers of 4,574 · showing 201–250Sort Recent · Most cited
  1. 2022
    Learning from Students: Online Contrastive Distillation Network for General Continual LearningJin Li, Zhong Ji, Gang Wang … Feng GaoIJCAI · Tianjin University
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  2. 2022
    Lifelong Inverse Reinforcement LearningJorge A. Mendez, Shashank Shivkumar, Eric EatonNeurIPS · University of Pennsylvania · Philadelphia University
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  3. 2022
    Continual Semantic Segmentation Leveraging Image-level Labels and RehearsalMathieu Pagé Fortin, Brahim Chaib-draaIJCAI · Université Laval
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  4. 2022
    Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual LearningKamil Rafał Deja, Paweł Wawrzyński, Wojciech Masarczyk … T. P. TrzcinskiIJCAI · Warsaw University of Technology · The University of Texas at Austin · +2
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  5. 2022
    Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain AdaptationCheng Feng, Chaoliang Zhong, Jie Wang … Yasuto YokotaIJCAI · Fujitsu (China)
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  6. 2022
    CL2R: Compatible Lifelong Learning RepresentationsNiccolò Biondi, Federico Pernici, Matteo Bruni … Alberto Del BimboACM Transactions · University of Florence
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  7. 2022
    Continual Learning for Human State MonitoringFederico Matteoni, Andrea Cossu, Claudio Gallicchio … Davide BacciuThe European Symposium on Artificial Neural Networks
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  8. 2022
    Same State, Different Task: Continual Reinforcement Learning without InterferenceSamuel Kessler, Jack Parker-Holder, Philip Ball … Stephen RobertsAAAI · University of Oxford
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  9. 2022
    Static-Dynamic Co-Teaching for Class-Incremental 3D Object DetectionNa Zhao, Gim Hee LeeAAAI · National University of Singapore
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  10. 2022PDF ↗
  11. 2022
    Lifelong Generative Modelling Using Dynamic Expansion Graph ModelFei Ye, Adrian G. BorşAAAI · University of York
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  12. 2022
    Lifelong Hyper-Policy Optimization with Multiple Importance Sampling RegularizationPierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello RestelliAAAI · Politecnico di Milano · University of Padua
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  13. 2022
    Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative ReplayHitesh Vaidya, Travis Desell, Alexander G. OrorbiaAAAI · Rochester Institute of Technology
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  14. 2022
    Learning to Transfer with von Neumann Conditional DivergenceAmmar Shaker, Shujian Yu, Daniel Oñoro-RubioAAAI · Sharp Laboratories of Europe (United Kingdom) · Centre for Arctic Gas Hydrate, Environment and Climate · +2
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  15. 2022
    Hebbian Continual Representation LearningPaweł Morawiecki, Andrii Krutsylo, Maciej Wołczyk, Marek ŚmiejaJournal of the Association for Information Systems
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  16. 2022PDF ↗
  17. 2022
    Class Impression for Data-free Incremental LearningSana Ayromlou, Purang Abolmaesumi, Teresa S.M. Tsang, Xiaoxiao LiMICCAI
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  18. 2022
    Model architecture can transform catastrophic forgetting into positive transferMiguel Ruiz-GarcíaScientific Reports · Universidad Carlos III de Madrid
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  19. 2022
    CLiMB: A Continual Learning Benchmark for Vision-and-Language TasksTejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva … Jesse ThomasonNeurIPS
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  20. 2022
    Multi-View Correlation Distillation for Incremental Object DetectionDongbao Yang, Yu Zhou, Aoting Zhang … Qixiang YePattern Recognition · Chinese Academy of Sciences · Institute of Information Engineering · +1
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  25. 2022
    Debugging using Orthogonal Gradient DescentNarsimha Chilkuri, Chris EliasmitharXiv
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  26. 2022
    Continual Learning with Guarantees via Weight Interval ConstraintsMaciej Wołczyk, Karol J. Piczak, Bartosz Wójcik … Przemysław SpurekICML
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  29. 2022
    Queried Unlabeled Data Improves and Robustifies Class-Incremental LearningTianlong Chen, Sijia Liu, Shiyu Chang … Wang, ZhangyangTMLR
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  30. 2022PDF ↗
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  32. 2022
    Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit RecognitionNikhil Churamani, Özgür Kara, Hatice GüneşIEEE Transactions · University of Cambridge · Boğaziçi University
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  35. 2022
    Learning to Prompt for Continual LearningZifeng Wang, Zizhao Zhang, Chen‐Yu Lee … Tomas PfisterCVPR · Universidad del Noreste · Google (United States)
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  36. 2022
    Continual Test-Time Domain AdaptationQin Wang, Olga Fink, Luc Van Gool, Dengxin DaiCVPR · ETH Zurich · École Polytechnique Fédérale de Lausanne · +1
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  37. 2022
    DyTox: Transformers for Continual Learning with DYnamic TOken eXpansionArthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu CordCVPR · Sorbonne Université · Valeo (France)
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  38. 2022
    Federated Class-Incremental LearningJiahua Dong, Lixu Wang, Zhen Fang … Qi ZhuCVPR · Shenyang Institute of Automation · Chinese Academy of Sciences · +3
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  39. 2022
    Forward Compatible Few-Shot Class-Incremental LearningDa-Wei Zhou, Fuyun Wang, Han-Jia Ye … De‐Chuan ZhanCVPR · Nanjing University
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  40. 2022
    Class-Incremental Learning by Knowledge Distillation with Adaptive Feature ConsolidationMinsoo Kang, Jaeyoo Park, Bohyung HanCVPR · Seoul National University
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  41. 2022
    Self-Supervised Models are Continual LearnersEnrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda … Julien MairalCVPR · University of Trento · Institut national de recherche en sciences et technologies du numérique · +1
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  42. 2022
    Rethinking Architecture Design for Tackling Data Heterogeneity in Federated LearningLiangqiong Qu, Yuyin Zhou, Paul Pu Liang … Daniel L. RubinCVPR · Stanford University · University of California, Santa Cruz · +2
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  43. 2022
    Constrained Few-shot Class-incremental LearningMichael Hersche, Geethan Karunaratne, Giovanni Cherubini … Abbas RahimiCVPR · ETH Zurich · IBM Research - Zurich
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  44. 2022
    Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental LearningKai Zhu, Wei Zhai, Yang Cao … Zheng-Jun ZhaCVPR · University of Science and Technology of China · University of Rochester
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  45. 2022
    GCR: Gradient Coreset based Replay Buffer Selection for Continual LearningRishabh Tiwari, Krishnateja Killamsetty, Rishabh Iyer, Pradeep ShenoyCVPR · Indian Institute of Technology Dhanbad · The University of Texas at Dallas
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  46. 2022
    Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response DistillationTao Feng, Mang Wang, Hangjie YuanCVPR · Alibaba Group (United States) · Zhejiang University
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  47. 2022
    Representation Compensation Networks for Continual Semantic SegmentationChang–Bin Zhang, Jia-wen Xiao, Xialei Liu … Ming‐Ming ChengCVPR · Nankai University · Hong Kong University of Science and Technology
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  48. 2022
    An Efficient Domain-Incremental Learning Approach to Drive in All Weather ConditionsM. Jehanzeb Mirza, Marc Masana, Horst Possegger, Horst BischofCVPR · Graz University of Technology · Christian Doppler Laboratory for Thermoelectricity · +1
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  49. 2022
    Probing Representation Forgetting in Supervised and Unsupervised Continual LearningMohammadReza Davari, Nader Asadi, Sudhir P. Mudur … Eugene BelilovskyCVPR · Concordia University · Toyota Motor Corporation (Switzerland)
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  50. 2022
    Class-Incremental Learning with Strong Pre-trained ModelsTz-Ying Wu, Swaminathan Gurumurthy, Zhizhong Li … Stefano SoattoCVPR · UC San Diego Health System
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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.