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.

93 papers of 4,574 · showing 51–93Sort Recent · Most cited
  1. 2022
    Anti-Retroactive Interference for Lifelong LearningRunqi Wang, Yuxiang Bao, Baochang Zhang … Guodong GuoECCV
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  2. 2022
    DLCFT: Deep Linear Continual Fine-Tuning for General Incremental LearningHyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo KimECCV
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  3. 2022
    Class-Incremental Learning with Cross-Space Clustering and Controlled TransferArjun Ashok, K J Joseph, Vineeth N BalasubramanianECCV
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  4. 2022
    Few-Shot Class-Incremental Learning from an Open-Set PerspectiveCan Peng, Kun Zhao, Tianren Wang … Brian C. LovellECCV
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  5. 2022PDF ↗
  6. 2022
    Online Continual Learning with Contrastive Vision TransformerZhen Wang, Liu Liu, Yajing Kong … Dacheng TaoECCV
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  7. 2022PDF ↗
  8. 2022PDF ↗
  9. 2022
    Novel Class Discovery without ForgettingK J Joseph, Sujoy Paul, Gaurav Aggarwal … Vineeth N BalasubramanianECCV
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  10. 2022
    Online Domain Adaptation for Semantic Segmentation in Ever-Changing ConditionsTheodoros Panagiotakopoulos, Pier Luigi Dovesi, Linus Härenstam-Nielsen, Matteo PoggiECCV
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  11. 2022PDF ↗
  12. 2022
    Incremental Task Learning with Incremental Rank UpdatesRakib Hyder, Ken Shao, Bo-Yu Hou … M. Salman AsifECCV
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  13. 2022
    Class-incremental Novel Class DiscoverySubhankar Roy, Mingxuan Liu, Zhun Zhong … Elisa RicciECCV
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  14. 2022
    Learning with Recoverable ForgettingJingwen Ye, Yifang Fu, Jie Song … Xinchao WangECCV
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  15. 2022
    CoSCL: Cooperation of Small Continual Learners is Stronger than a Big OneLiyuan Wang, Xingxing Zhang, Qian Li … Yi ZhongECCV
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  16. 2022
    Open-world Semantic Segmentation for LIDAR Point CloudsJun Cen, Yun, Peng, Shiwei Zhang … Mingqian TangECCV
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  17. 2022
    Transfer without ForgettingM. Boschini, Lorenzo Bonicelli, Angelo Porrello … Simone CalderaraECCV
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  18. 2022
    Few-shot Class-incremental Learning for 3D Point Cloud ObjectsTownim Faisal Chowdhury, Ali Cheraghian, Sameera Ramasinghe … Shafin RahmanECCV
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  19. 2022PDF ↗
  20. 2022
    DualPrompt: Complementary Prompting for Rehearsal-free Continual LearningZifeng Wang, Zizhao Zhang, Sayna Ebrahimi … Tomas PfisterECCV
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  21. 2022
    FOSTER: Feature Boosting and Compression for Class-Incremental LearningFuyun Wang, Da-Wei Zhou, Han-Jia Ye, De‐Chuan ZhanECCV
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  22. 2022
    Revisiting a kNN-based Image Classification System with High-capacity StorageKengo Nakata, Youyang Ng, Daisuke Miyashita … Jun DeguchiECCV
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  23. 2022PDF ↗
  24. 2022
    The Challenges of Continuous Self-Supervised LearningSenthil Purushwalkam, Pedro Morgado, Abhinav GuptaECCV
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  25. 2022
    S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental LearningJayateja Kalla, Soma BiswasECCV · Indian Institute of Science Bangalore
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  26. 2022
    Coarse-To-Fine Incremental Few-Shot LearningXiang Xiang, Yuwen Tan, Qian Wan … Gregory D. HagerECCV · Huazhong University of Science and Technology · Johns Hopkins University
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  27. 2020
    Small-Task Incremental LearningArthur Douillard, M. Cord, Charles Ollion … E. ValleECCV
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  28. 2020
    Incremental Meta-Learning via Indirect Discriminant AlignmentQing Liu, Orchid Majumder, Alessandro Achille … Stefano SoattoECCV · Johns Hopkins University · Amazon (Germany)
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  29. 2020
    REMIND Your Neural Network to Prevent Catastrophic ForgettingTyler L. Hayes, Kushal Kafle, Robik Shrestha … Christopher KananECCV · Rochester Institute of Technology · Adobe Systems (United States) · +2
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  30. 2020
    Adversarial Continual LearningSayna Ebrahimi, Franziska Meier, Roberto Calandra … Marcus RohrbachECCV · Berkeley College · Meta (United States) · +2
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  31. 2020
    Memory-Efficient Incremental Learning Through Feature AdaptationAhmet İşcen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia SchmidECCV · University of Illinois Urbana-Champaign
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  32. 2020
    Imbalanced Continual Learning with Partitioning Reservoir SamplingChris Dongjoo Kim, Jinseo Jeong, Gunhee KimECCV · Seoul National University
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  33. 2020
    More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental LearningYu Liu, Sarah Parisot, Greg Slabaugh … Tinne TuytelaarsECCV · KU Leuven · Huawei Technologies (China) · +1
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  34. 2020
    Reparameterizing Convolutions for Incremental Multi-Task Learning without Task InterferenceMenelaos Kanakis, David Brüggemann, Suman Saha … Luc Van GoolECCV · ETH Zurich · KU Leuven
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  35. 2020PDF ↗
  36. 2020
    Online Continual Learning under Extreme Memory ConstraintsEnrico Fini, Stéphane Lathuilière, Enver Sangineto … Elisa RicciECCV · University of Trento · Télécom Paris · +2
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  37. 2020
    Class-Incremental Domain AdaptationJogendra Nath Kundu, Rahul Venkatesh, Naveen Venkat … R. Venkatesh BabuECCV · Indian Institute of Science Bangalore
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  38. 2020
    Piggyback GAN: Efficient Lifelong Learning for Image Conditioned GenerationMengyao Zhai, Lei Chen, Jiawei He … Greg MoriECCV · Simon Fraser University · Collège Boréal
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  39. 2018PDF ↗
  40. 2018
    Memory Aware Synapses: Learning what (not) to forgetRahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny … Tinne TuytelaarsECCV · IMEC · KU Leuven · +2
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  41. 2018
    Riemannian Walk for Incremental Learning: Understanding Forgetting and IntransigenceArslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan, Philip H. S. TorrECCV · University of Oxford
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  42. 2018
    End-to-End Incremental LearningFrancisco M. Castro, Manuel J. Marín‐Jiménez, Nicolás Guil … Karteek AlahariECCV · Universidad de Málaga · University of Córdoba · +5
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  43. 2016
    Learning without ForgettingAuthors pendingECCV
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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.