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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.

29 papers of 11,817Sort Recent · Most cited
2012 Clear all
  1. 2012
    Adaptive Step-Size for Online Temporal Difference LearningWilliam Dabney, Andrew G. BartoAAAI · University of Massachusetts Amherst
  2. 2012
    Towards an online fuzzy modeling for human internal states detectionAmir Aly, Adriana TapusInternational Conference on Control Automation Robotics &… · École Nationale Supérieure de Techniques Avancées
  3. 2012
    Incremental learning of an optical flow model for sensorimotor anticipation in a mobile robotArturo Ribes, Jesús Cerquides, Yiannis Demiris, Ramón López de MántarasIEEE International Conference on Development and Learning… · Consejo Superior de Investigaciones Científicas · Imperial College London
  4. 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
  5. 2012
    Semantic categorization of outdoor scenes with uncertainty estimates using multi-class gaussian process classificationRohan Paul, Rudolph Triebel, Daniela Rus, Paul NewmanIROS · Oxford Research Group · University of Oxford · +1
  6. 2012
    Euler Principal Component AnalysisStephan Liwicki, Georgios Tzimiropoulos, Stefanos Zafeiriou, Maja PantićInternational Journal of Computer Vision · Imperial College London · University of Lincoln · +1
  7. 2012
    Incremental Learning of 3D-DCT Compact Representations for Robust Visual TrackingXi Li, Anthony Dick, Chunhua Shen … Hanzi WangTPAMI · The University of Adelaide · Xiamen University
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  8. 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
  9. 2012
    Instance Based Classification for Decision Making in Network DataShankar Lal, Parag Kulkarni, Amarjit SinghJournal of Intelligent Systems · Research & Development Establishment (Engrs.) · Terminal Ballistics Research Laboratory
  10. 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
  11. 2012
    On the use of Population Based Incremental Learning to do Reverse Engineering on Gene Regulatory NetworksLeon Palafox, Hitoshi IbaIEEE Congress on Evolutionary Computation · The University of Tokyo
  12. 2012
    Self-reorganizing TSK fuzzy inference system with BCM theory of meta-plasticityBiju Joseph Jacob, Eng Yeow Cheu, Javan Tan, Chai QuekIJCNN · Nanyang Technological University · Institute for Infocomm Research
  13. 2012
    Incremental Learning with Large DatasetsBalathasan GiritharanUniversity of North Texas · University of North Texas
  14. 2012
    An improved incremental learning model for network data stream classification problemsFeng Lin, Yuan Yao, Bo Jin, Qi ChenJournal of Convergence Information Technology
  15. 2012
    Sliding mode incremental learning algorithm for interval type-2 Takagi–Sugeno–Kang fuzzy neural networksSevil Ahmed, Nikola Shakev, Andon V. Topalov … Okyay KaynakEvolving Systems · Technical University of Sofia · Boğaziçi University
  16. 2012
    Incremental Learning in a 14 DOF Simulated iCub Robot: Modeling Infant Reach/Grasp DevelopmentPiero Savastano, Stefano NolfiSpringer LNCS
  17. 2012
    Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory ModelMotonobu HattoriSpringer LNCS · Takeda (Japan) · University of Yamanashi
  18. 2012
    Grammar-Based Semi-Supervised Incremental Learning in Automatic Speech Recognition and LabelingHaifeng Li, Tian Zhang, Rongfa Qiu, Lin MaEnergy Procedia · Harbin Institute of Technology · Heilongjiang Institute of Technology
  19. 2012
    Confirmation Based Self-Learning Algorithm in LVCSR's Semi-supervised Incremental LearningHaifeng Li, Tian Zhang, Lin MaProcedia Engineering · Harbin Institute of Technology · Heilongjiang Institute of Technology
  20. 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
  21. 2012
    On Improving Semi-supervised Marginboost Incrementally using Strong Unlabeled DataThanh-Binh Le, Sang‐Woon KimICPR
  22. 2012
    Visual arts as leverage for educational innovation in formal and lifelong learningFree De Backer, Koen Lombaerts, Jeltsen Peeters, Willem EliasProcedia - Social and Behavioral Sciences · Vrije Universiteit Brussel · Research Foundation - Flanders
  23. 2012
    An Improved Incremental Learning Approach Based on SVM Model for Network Data StreamNa Sun, Yanfeng GuoAdvances in intelligent and soft computing · Liaoning University of Technology
  24. 2012
    EFFICIENT MULTI-CLASS INCREMENTAL LEARNING USING GAUSSIAN PROCESSESA. Lütz, E. Rodner, Joachim DenzlerPreprint
  25. 2012
    Network data stream abnormal detection model based on SVM incremental learning methodYao YuanPreprint
  26. 2012
    New Multi-label Sample Class Incremental Learning AlgorithmXiu-Kun WangPreprint
  27. 2012
    Synaptic Consolidation: An Approach to Long-Term LearningAuthors pendingCognitive Neurodynamics
  28. 2012
    Incremental Activity Modeling in Multiple Disjoint CamerasClaudia Loy, Tao Xiang, Shaogang GongTPAMI · Queen Mary University of London
  29. 2012
    Dynamic selection of generative-discriminative ensembles for off-line signature verificationLuana Batista, Éric Granger, Robert SabourinPattern Recognition · Laboratoire d'imagerie, de vision et d'intelligence artificielle · École de Technologie Supérieure
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.