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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.

37 papers of 11,817Sort Recent · Most cited
2011 Clear all
  1. 2011
    Reflective Journaling on a Systems Approach to Vehicle DesignJanet BraunASEE Annual Conference & Exposition Proceedings · Western Washington University
  2. 2011
    Resolving Environmental ConflictsChris Maser, Lynette de SilvaPreprint · Oregon State University
  3. 2011
    Supervised Generative Reconstruction: An Efficient Way To Flexibly Store and Recognize PatternsTsvi AchlerarXiv
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  4. 2011
    Class-Incremental Kernel Discriminative Common VectorsYunhui HeSeventh International Conference on Computational Intelli… · Nanjing University of Information Science and Technology
  5. 2011
    Incremental Learning From Stream DataHaibo He, Sheng Chen, Kang Li, Xin XuIEEE Transactions · University of Rhode Island · Stevens Institute of Technology · +3
  6. 2011
    An Algorithm of Incremental Bayesian Classifier Based on K-Nearest NeighborDong Wang, Shi Huan XiongAdvanced materials research · Guizhou Normal University
  7. 2011
    Adaptatividade em aprendizagem de máquina: conceitos e estudo de caso.Renata Luiza StangeUniversidade de São Paulo
  8. 2011
    Prediction of Enzyme Mutant Activity Using Computational Mutagenesis and Incremental TransductionNada Basit, Harry WechslerAdvances in Bioinformatics · George Mason University
  9. 2011
    Building Knowledge, Skills, and Abilities: Continual Learning in the New Information LandscapeRebecca BlakistonJournal of Library Administration · University of Arizona
  10. 2011
    The Hopfield-type Memory Without Catastrophic ForgettingI. Karandashev, B. Kryzhanovsky, L. LitinskiiPreprint
  11. 2011
    Optimal Design of a Pin-Fin Heat Sink Using a Surrogate-Assisted Multiobjective Evolutionary AlgorithmSiwadol Kanyakam, Sujin BureeratAdvanced materials research · Khon Kaen University
  12. 2011
    Towards incremental learning of task-dependent action sequences using probabilistic parsingKyuhwa Lee, Yiannis DemirisIEEE International Conference on Development and Learning… · Imperial College London
  13. 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
  14. 2011
    Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learningMichael Siek, Dimitri SolomatineIJCNN · IHE Delft Institute for Water Education · Delft University of Technology
  15. 2011
    A parallel incremental extreme SVM classifierQing He, Changying Du, Qun Wang … Zhongzhi ShiNeurocomputing · Chinese Academy of Sciences · Institute of Computing Technology
  16. 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
  17. 2011
    Towards semi-supervised learning of semantic spatial conceptsJesús Martínez-Gómez, Barbara CaputoICRA · Idiap Research Institute
  18. 2011
    Success Results of High Performance and Potential System (HiPPS) Administration of Thai Government DepartmentsUngsinun Intarakamhang, Wirin Kittipichai, Chutima Hanpachern, Piyasurang KuljittiprasitAsian Social Science · Srinakharinwirot University · Mahidol University · +2
  19. 2011
    Dopaminergic genes predict individual differences in susceptibility to confirmation biasBradley B. Doll, Kent E. Hutchison, Michael J. FrankJournal of Neuroscience · Brown University · University of New Mexico · +2
  20. 2011
    Teraflop-scale Incremental Machine LearningEray ÖzkuralarXiv
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  21. 2011
    On nonlinearity in neural encoding models applied to the primary visual cortexDiego Vidaurre, Concha Bielza, Pedro LarrañagaNetwork Computation in Neural Systems · Universidad Politécnica de Madrid
  22. 2011
    Incremental online sparsification for model learning in real-time robot controlDuy Nguyen-Tuong, Jan PetersNeurocomputing · Max Planck Society · Max Planck Institute for Biological Cybernetics
  23. 2011
    Adaptive incremental learning in neural networksAbdelhamid Bouchachia, Nadia NedjahNeurocomputing · University of Klagenfurt · Universidade do Estado do Rio de Janeiro
  24. 2011
    Extreme and incremental learning based single-hidden-layer regularization ridgelet networkShuyuan Yang, Min Wang, Licheng JiaoNeurocomputing · Xidian University
  25. 2011
    Personalisation in Service-Oriented Systems Using Markov Chain Model and Bayesian InferenceJakub M. Tomczak, Jerzy ŚwiątekIFIP International Federation for Information Processing/… · Institute of Computer Science
  26. 2011
    How to Harness the Dynamics of Soft Body: Timing Based Control of a Simulated Octopus Arm via Recurrent Neural NetworksKohei Nakajima, Tao Li, Naveen Kuppuswamy, Rolf PfeiferProcedia Computer Science · University of Zurich
  27. 2011
    A Cognitive Model for Generalization during Sequential LearningAshish Gupta, Lovekesh Vig, David C. NoelleJournal of Robotics · Vanderbilt University · Jawaharlal Nehru University · +1
  28. 2011
    Profit-Maximizing Strategies for an Artificial Payment Card Market. Is Learning Possible?Biliana Alexandrova‐Kabadjova, Edward Tsang, Andreas KrauseJournal of Intelligent Learning Systems and Applications · Bank of Mexico · University of Essex · +2
  29. 2011
    Multi-Dimension Sandpile Space: a new theory of representation and reasoning for experience knowledgeYu Jin, Wenjun Hou, Chang‐Hua LiuProcedia Engineering · Beijing University of Posts and Telecommunications
  30. 2011
    Online competitive incremental-decremental clustering with the Winner-Kill-Loser ruleMassimiliano VersaceFrontiers
  31. 2011
    Using the GNG-m Algorithm to Deal with the Problem of Catastrophic Forgetting in Incremental ModellingHéctor F. Satizábal M., Andres Perez-UriibeNeural Computation
  32. 2011
    New class incremental learning methodXiu-Kun WangPreprint
  33. 2011
    Recurrent Transition Hierarchies for Continual Learning: A General OverviewMark B. RingLifelong Learning
  34. 2011
    ARTIFICIAL IMMUNE SYSTEM AGENT MODELSiti Mazura Che Doi, N. NorwawiPreprint
  35. 2011
    Class Incremental Learning Algorithm for P2P Streaming Media IdentificationJin Li, Xin Zhang, Hui WangPreprint
  36. 2011
    Early spontaneous immortalization and loss of plasticity of rabbit bone marrow mesenchymal stem cellsNaser Ahmadbeigi, Abbas Shafiee, Ehsan Seyedjafari … Masoud SoleimaniCell Proliferation · Stem Cell Technology Research Center · University of Tehran · +4
  37. 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.