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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.

16 papers of 11,817Sort Recent · Most cited
2005 Clear all
  1. 2005
    A biologically motivated neural network architecture for the avoidance of catastrophic interferenceJ. F. Dale Addison, Garen Arevian, John MacIntyreResearch and Development in Intelligent Systems XXII · University of Sunderland
  2. 2005
    Evolving improved incremental learning schemes for neural network systemsTebogo Seipone, John A. BullinariaIEEE Congress on Evolutionary Computation · University of Birmingham
  3. 2005
    Editorial Vol-1-Issue-1-2005Yngve NordkvelleSeminar net
  4. 2005
    Aprendizado nebuloso híbrido e incremental para classificar pixels por coresWaldemar BonventiUniversidade de São Paulo
  5. 2005
    EVOLVING NEURAL NETWORKS THAT SUFFER MINIMAL CATASTROPHIC FORGETTINGTebogo Seipone, John A. BullinariaModeling Language, Cognition and Action · University of Birmingham
  6. 2005
    Hebbian learning rule restraining catastrophic forgetting in pulse neural networkMakoto Motoki, Tomoki Hamagami, Seiichi Koakutsu, Hironori HirataElectrical Engineering in Japan · Chiba University
  7. 2005
    Speaker Identification Based on Incremental Learning Neural NetworkKwang-Seung Heo, Kwee-Bo SimInternational Journal of Fuzzy Logic and Intelligent Systems
  8. 2005
    Learning discontinuities with products-of-sigmoids for switching between local modelsMarc Toussaint, Sethu VijayakumarICML · University of Edinburgh
  9. 2005
    The Manager as MentorMichael J. Marquardt, Peter LoanGreenwood Publishing Group Inc. eBooks
  10. 2005
    Incremental learning in hierarchical neural networks for object recognitionRebecca Fay, Friedhelm Schwenker, Günther PalmSecond International Conference on Informatics in Control… · Universität Ulm
  11. 2005
    Modelling incremental learning with the batch SOM training methodVicente O. Baez-Monroy, Simon O’KeefeFifth International Conference on Hybrid Intelligent Syst… · University of York
  12. 2005
    The Evolution of Minimal Catastrophic Forgetting in Neural SystemsJ. Bullinaria, T. SeiponePreprint
  13. 2005
    Toward a Formal Framework for Continual LearningMark B. RingPreprint
  14. 2005
    A biologically plausible strategy for the avoidance of catastrophic interferenceJ. AddisonPreprint
  15. 2005
    Hebbian networks for averting the problem of catastrophic interferenceJ. E. IvancichPreprint
  16. 2005
    Incremental Learning with the Neural Network TreesT. Takeda, Qiangfu Zhao, Yong LiuNeural Parallel Sci. Comput.
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.