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.

11 papers of 4,574Sort Recent · Most cited
  1. 2022
    Sample Condensation in Online Continual LearningMattia Sangermano, Antonio Carta, Andrea Cossu, Davide BacciuIJCNN · University of Pisa · Scuola Normale Superiore
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  2. 2022
    Continual Horizontal Federated Learning for Heterogeneous DataJunki Mori, Isamu Teranishi, Ryo FurukawaIJCNN · NEC (Japan)
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  3. 2022
    Ego-graph Replay based Continual Learning for Misinformation Engagement PredictionHongbo Bo, Ryan McConville, Jun Hong, Weiru LiuIJCNN · University of Bristol · University of the West of England
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  4. 2022
    A Study of Continual Learning Methods for Q-LearningBenedikt Bagus, Alexander GepperthIJCNN · Fulda University of Applied Sciences
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  5. 2022
    Incremental Learning with Differentiable Architecture and Forgetting SearchJames Seale Smith, Zachary Seymour, Han-Pang ChiuIJCNN · Georgia Institute of Technology · SRI International
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  6. 2022
    RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language LearningHan Wang, Ruiliu Fu, Xuejun Zhang, Jun ZhouIJCNN · Chinese Academy of Sciences · Institute of Acoustics · +1
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  7. 2022PDF ↗
  8. 2022
    Self-distilled Knowledge Delegator for Exemplar-free Class Incremental LearningFanfan Ye, Liang Ma, Qiaoyong Zhong … Shiliang PuIJCNN
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  9. 2022
    Dynamic Template Selection Through Change Detection for Adaptive Siamese TrackingMadhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay … Éric GrangerIJCNN · Vellore Institute of Technology University · Genetec (Canada)
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  10. 2022
    Smaller is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual LearningFrancesco Pelosin, Andrea TorselloIJCNN · Ca' Foscari University of Venice
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  11. 2022
    Incremental Attractor Neural Network Modelling of the Lifespan Retrieval CurvePatrícia Pereira, Anders Lansner, Pawel HermanIJCNN · Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · University of Lisbon · +2
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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.