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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.

67 papers of 11,817 · showing 51–67Sort Recent · Most cited
2015 Clear all
  1. 2015
    On Acceleration of Incremental Learning in Chaotic Neural NetworkToshinori Deguchi, Toshiki Takahashi, Naohiro IshiiSpringer LNCS · National Institute of Technology, Gifu College · Aichi Institute of Technology
  2. 2015
    Design and Realization of SVM Topic Crawler Based on Incremental LearningPing ZhouAdvances in computer science research · Nanjing University of Aeronautics and Astronautics
  3. 2015
    Research on adaptive network theft Trojan detection modelTing Wu2015 International Conference on Advances in Mechanical E… · University of Languages and International Studies · Guangdong University of Foreign Studies · +1
  4. 2015
    A heteroassociative learning model robust to interferenceRanda Kassab, Frédéric AlexandreInternational Joint Conference on Computational Intelligence · Université de Bordeaux · Centre Inria de l'université de Bordeaux
  5. 2015
    An Improved Algorithm for Moving Object TrackingQiufen YangAdvances in computer science research · Hunan Radio and Television University
  6. 2015
    Recognizing extended surrounding contexts via class incremental learningZhenyu Chen, Yiqiang Chen, Shuangquan Wang … Xinlong Jiang2015 ACM International Joint Conference on Pervasive and… · Electric Power Research Institute · North China Electric Power University · +3
  7. 2015
    Neuron Clustering for Mitigating Catastrophic Forgetting in Supervised and Reinforcement LearningBenjamin GoodrichPreprint
  8. 2015
    Mitigating Catastrophic Forgetting in Temporal Difference Learning with Function ApproximationBenjamin Goodrich, I. ArelPreprint
  9. 2015
    Incremental learning of action models as HMMs over qualitative trajectory representationsMaximilian Panzner, P. CimianoPreprint
  10. 2015
    Learning in Nonstationary Environments: A SurveyAuthors pendingIEEE Computational Intelligence Magazine
  11. 2015
    Never-Ending LearningAuthors pendingCommunications of the Acm
  12. 2015
    Yuan Liu INCREMENTAL LEARNING IN DEEP NEURAL NETWORKSYuan LiuPreprint
  13. 2015
    An incremental structured part model for object recognitionXiao Bai, Peng Ren, Huigang Zhang, Jun ZhouNeurocomputing · Beihang University · China University of Petroleum, East China · +1
  14. 2015
    Model-free incremental learning of the semantics of manipulation actionsEren Erdal Aksoy, Minija Tamošiūnaitė, Florentin WörgötterRobotics and Autonomous Systems · University of Göttingen
  15. 2015
    One-class classifiers with incremental learning and forgetting for data streams with concept driftBartosz Krawczyk, Michał WoźniakSoft Computing · Wrocław University of Science and Technology
  16. 2015
    A Bayesian model for canonical circuits in the neocortex for parallelized and incremental learning of symbol representationsMartin Dimkovski, Aijun AnNeurocomputing · York University
  17. 2015
    A Lifelong Learning Hyper-heuristic Method for Bin PackingKevin Sim, Emma Hart, Ben PaechterEvolutionary Computation · Edinburgh Napier University
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.