Related work

The foundational work on continual learning, 1988 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

15 papers of 6,984Sort Recent · Most cited
  1. 2020
    Small-Task Incremental LearningArthur Douillard, M. Cord, Charles Ollion … E. ValleECCV
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  2. 2020
    Incremental Meta-Learning via Indirect Discriminant AlignmentQing Liu, Orchid Majumder, Alessandro Achille … Stefano SoattoECCV · Johns Hopkins University · Amazon (Germany)
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  3. 2020
    GDumb: A Simple Approach that Questions Our Progress in Continual LearningAmeya Prabhu, Philip H. S. Torr, Puneet K. DokaniaECCV · University of Oxford
  4. 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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  5. 2020
    Adversarial Continual LearningSayna Ebrahimi, Franziska Meier, Roberto Calandra … Marcus RohrbachECCV · Berkeley College · Meta (United States) · +2
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  6. 2020
    Memory-Efficient Incremental Learning Through Feature AdaptationAhmet İşcen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia SchmidECCV · University of Illinois Urbana-Champaign
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  7. 2020
    Topology-Preserving Class-Incremental LearningXiaoyu Tao, Xinyuan Chang, Xiaopeng Hong … Yihong GongECCV · Xi'an Jiaotong University · Peng Cheng Laboratory
  8. 2020
    Imbalanced Continual Learning with Partitioning Reservoir SamplingChris Dongjoo Kim, Jinseo Jeong, Gunhee KimECCV · Seoul National University
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  9. 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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  10. 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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  11. 2020PDF ↗
  12. 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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  13. 2020
    Class-Incremental Domain AdaptationJogendra Nath Kundu, Rahul Venkatesh, Naveen Venkat … R. Venkatesh BabuECCV · Indian Institute of Science Bangalore
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  14. 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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  15. 2020
    Incremental Few-Shot Meta-learning via Indirect Discriminant AlignmentQing Liu, Orchid Majumder, Alessandro Achille … Stefano SoattoECCV · Johns Hopkins University · Amazon (United States)
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. 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.