unify

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.

61 papers of 11,817 · showing 51–61Sort Recent · Most cited
IJCNN Clear all
  1. 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
  2. 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
  3. 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
  4. 2010
    An incremental learning method for neural networks in adaptive environmentsBeatriz Pérez‐Sánchez, Óscar Fontenla-Romero, Bertha Guijarro‐BerdiñasIJCNN · Universidade da Coruña
  5. 2008
    A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learningÉric Granger, Jean-François Connolly, Robert SabourinIJCNN · École de Technologie Supérieure
  6. 2003
    Incremental learning in dynamic environments using neural network with long-term memoryK. Tsumori, Seiichi OzawaIJCNN · Kobe University
  7. 2002
    Learn++: a classifier independent incremental learning algorithm for supervised neural networksRobi Polikar, J. Byorick, Stefanie Krause … M. MoretonIJCNN · Rowan University
  8. 1999
    Pattern classification by an incremental learning fuzzy neural networkGary G. Yen, Phayung MeesadIJCNN · Oklahoma State University
  9. 1991
    Incremental learning with rule-based neural networksCharles M. Higgins, R.M. GoodmanIJCNN · California Institute of Technology
  10. 2001
    Reducing computations in incremental learning for feedforward neural network with long-term memoryM. Kobyashi, Abu Sarwar Zamani, Seiichi Ozawa, Shigeo AbeIJCNN · Kobe University
  11. 2001
    A clustering approach to incremental learning for feedforward neural networksAndries P. Engelbrecht, R. BritsIJCNN · University of Pretoria
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.