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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.

17 papers of 8,653Sort Recent · Most cited
2011 Clear all
  1. 2011
    Supervised Generative Reconstruction: An Efficient Way To Flexibly Store and Recognize PatternsTsvi AchlerarXiv
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  2. 2011
    Class-Incremental Kernel Discriminative Common VectorsYunhui HeSeventh International Conference on Computational Intelli… · Nanjing University of Information Science and Technology
  3. 2011
    Incremental Learning From Stream DataHaibo He, Sheng Chen, Kang Li, Xin XuIEEE Transactions · University of Rhode Island · Stevens Institute of Technology · +3
  4. 2011
    The Hopfield-type Memory Without Catastrophic ForgettingI. Karandashev, B. Kryzhanovsky, L. LitinskiiPreprint
  5. 2011
    IGMN: An incremental connectionist approach for concept formation, reinforcement learning and roboticsMilton Roberto Heinen, Paulo Martins EngelJournal of Applied Computing Research · Universidade Federal do Rio Grande do Sul
  6. 2011
    Robot training through incremental learningRobert E. Karlsen, Shawn Hunt, Gary WitusSPIE, the International Society for Optical Engineering/P… · United States Department of the Army · United States Army
  7. 2011
    Towards semi-supervised learning of semantic spatial conceptsJesús Martínez-Gómez, Barbara CaputoICRA · Idiap Research Institute
  8. 2011
    Teraflop-scale Incremental Machine LearningEray ÖzkuralarXiv
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  9. 2011
    Adaptive incremental learning in neural networksAbdelhamid Bouchachia, Nadia NedjahNeurocomputing · University of Klagenfurt · Universidade do Estado do Rio de Janeiro
  10. 2011
    A Study on Facial Expression Recognition Model Using an Adaptive Learning CapabilityMasaki IshiiInTech eBooks · Akita Prefectural University
  11. 2011
    Radial Basis Function Neural Network With Incremental Learning for Face RecognitionYee Wan Wong, Kah Phooi Seng, Li-Minn AngIEEE Transactions · University of Nottingham Malaysia Campus
  12. 2011
    A Cognitive Model for Generalization during Sequential LearningAshish Gupta, Lovekesh Vig, David C. NoelleJournal of Robotics · Vanderbilt University · Jawaharlal Nehru University · +1
  13. 2011
    Using the GNG-m Algorithm to Deal with the Problem of Catastrophic Forgetting in Incremental ModellingHéctor F. Satizábal M., Andres Perez-UriibeNeural Computation
  14. 2011
    New class incremental learning methodXiu-Kun WangPreprint
  15. 2011
    Recurrent Transition Hierarchies for Continual Learning: A General OverviewMark B. RingLifelong Learning
  16. 2011
    Fuzzy ARTMAP: A neural network for fast stable incremental learning and seismic event discriminationE. Akhouayri, D. AglizPreprint
  17. 2011
    Towards incremental learning of nonstationary imbalanced data stream: a multiple selectively recursive approachSheng Chen, Haibo HeEvolving Systems · Stevens Institute of Technology · University of Rhode Island
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.