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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.

12 papers of 8,653Sort Recent · Most cited
2008 All papers Clear all
  1. 2008
    On Capacity of Memory in Chaotic Neural Networks with Incremental LearningToshinori Deguchi, Keisuke Matsuno, Naohiro IshiiSpringer LNCS · National Institute of Technology, Gifu College · Aichi Institute of Technology
  2. 2008
    Supervised Incremental Learning with the Fuzzy ARTMAP Neural NetworkJean-François Connolly, Éric Granger, Robert SabourinSpringer LNCS · École de Technologie Supérieure
  3. 2008
    Perturbational Neural Networks for Incremental Learning in Virtual Learning SystemEiichi Inohira, Hiromasa Oonishi, Hirokazu YokoiSpringer LNCS · Kyushu Institute of Technology
  4. 2008
    Incremental learning of sequence patterns with a modular network modelIchiro Igari, Jun TaniNeurocomputing · RIKEN Center for Brain Science
  5. 2008
    Dynamic visual category learningTom Yeh, Trevor DarrellCVPR · Massachusetts Institute of Technology · University of California, Berkeley
  6. 2008
    A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learningÉric Granger, Jean-François Connolly, Robert SabourinIJCNN · École de Technologie Supérieure
  7. 2008
    Critical periods and catastrophic interference effects in the development of self-organizing feature maps.Fiona M. Richardson, Michael S. C. ThomasDevelopmental Science · Birkbeck, University of London
  8. 2008
    A Parallel Incremental Learning Algorithm for Neural Networks with Fault ToleranceJacques M. Bahi, Sylvain Contassot‐Vivier, Marc Sauget, Aurélien VasseurSpringer LNCS · Université de Franche-Comté · Laboratoire Lorrain de Recherche en Informatique et ses Applications · +3
  9. 2008
    Study on Class Incremental Learning Algorithm Based on Hyper-sphere Support Vector MachinesChun-Li WangPreprint
  10. 2008
    Associative Memory System for Incremental Learning in Noisy Environment Using Self-Organizing Incremental Neural NetworkA. Sudo, Akihiro Satou, O. HasegawaPreprint
  11. 2008
    Deep Bayesian Neural Networks for Continual LearningSeongho SonPreprint
  12. 2008
    Forget-me-net : Overcoming catastrophic forgetting in backpropagation neural networksAbdallah El Ali, L. Bazen, I. Groen … Kendall RattnerPreprint
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.