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Related work

The foundational work on continual learning, 1959 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

12 papers of 11,817Sort Recent · Most cited
2004 Clear all
  1. 2004
    Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object CategoriesLi Fei-Fei, Rob Fergus, Pietro PeronaComputer Vision and Image Understanding · Princeton University · University of Oxford · +1
  2. 2004
    Reassessment of catastrophic interferenceMakoto YamaguchiNeuroreport · Waseda University
  3. 2004
    Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgettingBernard Ans, Stéphane Rousset, Robert M. French, Serban C. MuscaConnection Science · Université Pierre Mendès France · Centre National de la Recherche Scientifique · +3
  4. 2004
    Incremental Learning in Terms of Output AttributesSheng-Uei Guan, Peng LiJournal of Intelligent Systems
  5. 2004
    An Online Ensemble of ClassifiersS. B. Kotsiantis, P. E. PintelasInternational Workshop on Pattern Recognition in Informat…
  6. 2004
    A self-structurizing neural network for online incremental learningOsamu Hasegawa, Furao ShenSociety of Instrument and Control Engineers of Japan · Tokyo Institute of Technology
  7. 2004
    A study of the effectiveness of detailed balance in avoiding convergence in PBILElon Correa, Jonathan ShapiroApplications and Science in Soft Computing · University of Manchester
  8. 2004
    Avoiding catastrophic forgetting by coupling two reverberating neural networksL’oubli catastrophique it, deuX rkeaux, neuronaux verb-antsPreprint
  9. 2004
    Sequential Learning in Distributed Neural Networks without Catastrophic Forgetting: A Single and Realistic Self-Refreshing Memory Can Do ItB. AnsPreprint
  10. 2004
    A New Approach for Training of Artificial Neural Networks using Population Based Incremental Learning (PBIL)Mehdi Salmani Jelodar, S. M. Fakhraie, M. N. AhmadabadiInternational Conference on Computing and Information
  11. 2004
    The Governor Architecture: Avoiding Catastrophic Forgetting in Robot LearningJ. Strober, L. Meeden, D. BlankPreprint
  12. 2004
    Content Development for Middle School Educators: Online Continual Learning UnitsKaren McFerrin, R. Gillan, L. Roach, R. McBridePreprint
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 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.