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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.

10 papers of 8,653Sort Recent · Most cited
2012 All papers Clear all
  1. 2012
    Reinforcement learning algorithms that assimilate and accommodate skills with multiple tasksPaolo Tommasino, Daniele Caligiore, Marco Mirolli, Gianluca BaldassarreIEEE International Conference on Development and Learning… · National Research Council · Institute of Cognitive Sciences and Technologies
  2. 2012
    Mitigation of catastrophic interference in neural networks using a fixed expansion layerRobert Coop, Itamar ArelIEEE 55th International Midwest Symposium on Circuits and… · University of Tennessee at Knoxville
  3. 2012
    Using a Gaussian mixture neural network for incremental learning and roboticsMilton Roberto Heinen, Paulo Martins Engel, Rafael PintoIJCNN · Universidade do Estado de Santa Catarina · Universidade Federal do Rio Grande do Sul
  4. 2012
    An incremental learning preprocessor for feed-forward neural networkPiyabute FuangkhonArtificial Intelligence Review · Assumption University
  5. 2012
    Incremental Learning in a 14 DOF Simulated iCub Robot: Modeling Infant Reach/Grasp DevelopmentPiero Savastano, Stefano NolfiSpringer LNCS
  6. 2012
    Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory ModelMotonobu HattoriSpringer LNCS · Takeda (Japan) · University of Yamanashi
  7. 2012
    Learning in real robots from environment interactionPablo Quintía Vidal, Roberto Iglesias, Miguel Ángel Rodríguez González … Fernando Valdés VillarrubiaJournal of Physical Agents (JoPha) · Universidade de Santiago de Compostela · Universidade da Coruña
  8. 2012
    EFFICIENT MULTI-CLASS INCREMENTAL LEARNING USING GAUSSIAN PROCESSESA. Lütz, E. Rodner, Joachim DenzlerPreprint
  9. 2012
    New Multi-label Sample Class Incremental Learning AlgorithmXiu-Kun WangPreprint
  10. 2012
    Synaptic Consolidation: An Approach to Long-Term LearningAuthors pendingCognitive Neurodynamics
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.