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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.

21 papers of 11,817Sort Recent · Most cited
2008 Clear all
  1. 2008
    FPBIL: A Parameter-free Evolutionary AlgorithmGustavo Henrique Flores Caldas, Roberto SchirruInTech eBooks · National Nuclear Energy Commission
  2. 2008
    Transcriptome Divergence and the Loss of Plasticity in Bacillus subtilis after 6,000 Generations of Evolution under Relaxed Selection for SporulationHeather Maughan, C. William Birky, Wayne L. NicholsonJournal of Bacteriology · University of Arizona · Kennedy Space Center · +2
  3. 2008
    Adaptive Soft-sensor Modeling Algorithm Based on FCMISVM and Its Application in PX Adsorption Separation ProcessFu Yongfeng, Hongye Su, Ying Zhang, Jian ChuChinese Journal of Chemical Engineering · Zhejiang University · Zhejiang University of Technology · +1
  4. 2008
    On Capacity of Memory in Chaotic Neural Networks with Incremental LearningToshinori Deguchi, Keisuke Matsuno, Naohiro IshiiSpringer LNCS · National Institute of Technology, Gifu College · Aichi Institute of Technology
  5. 2008
    Supervised Incremental Learning with the Fuzzy ARTMAP Neural NetworkJean-François Connolly, Éric Granger, Robert SabourinSpringer LNCS · École de Technologie Supérieure
  6. 2008
    Continually Learning Optimal Allocations of Services to TasksYoussef Achbany, Ivan Jureta, S. Faulkner, François FoussIEEE Transactions · UCLouvain · University of Namur · +1
  7. 2008
    Dynamic visual category learningTom Yeh, Trevor DarrellCVPR · Massachusetts Institute of Technology · University of California, Berkeley
  8. 2008
    A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learningÉric Granger, Jean-François Connolly, Robert SabourinIJCNN · École de Technologie Supérieure
  9. 2008
    Learning an Alphabet of Shape and Appearance for Multi-Class Object DetectionAndreas Opelt, Axel Pinz, Andrew ZissermanInternational Journal of Computer Vision · Graz University of Technology · University of Oxford
  10. 2008
    Critical periods and catastrophic interference effects in the development of self-organizing feature maps.Fiona M. Richardson, Michael S. C. ThomasDevelopmental Science · Birkbeck, University of London
  11. 2008
    Some practical aspects on incremental training of RBF network for robot behavior learningJun Li, Tom DuckettWorld Congress on Intelligent Control and Automation · Chongqing University · University of Lincoln
  12. 2008
    A Parallel Incremental Learning Algorithm for Neural Networks with Fault ToleranceJacques M. Bahi, Sylvain Contassot‐Vivier, Marc Sauget, Aurélien VasseurSpringer LNCS · Université de Franche-Comté · Laboratoire Lorrain de Recherche en Informatique et ses Applications · +3
  13. 2008
    Multiagent Incremental Learning in NetworksGauvain Bourgne, Amal El Fallah Seghrouchni, Nicolas Maudet, Henry SoldanoSpringer LNCS · Université Paris Dauphine-PSL · Sorbonne Université · +2
  14. 2008
    Study on Class Incremental Learning Algorithm Based on Hyper-sphere Support Vector MachinesChun-Li WangPreprint
  15. 2008
    Associative Memory System for Incremental Learning in Noisy Environment Using Self-Organizing Incremental Neural NetworkA. Sudo, Akihiro Satou, O. HasegawaPreprint
  16. 2008
    What Child and Adolescent Psychiatry Means to MeL. ArnoldMens Sana Monographs
  17. 2008
    Acoustic Fault Identification Based on the RBF Neural Network for Incremental LearningLi-Ye TianPreprint
  18. 2008
    Continually Learning Optimal Service CompositionsYoussef Achbany, Stéphane Faulkner, Ivan Jureta, Fouss FrançoisPreprint
  19. 2008
    Deep Bayesian Neural Networks for Continual LearningSeongho SonPreprint
  20. 2008
    Forget-me-net : Overcoming catastrophic forgetting in backpropagation neural networksAbdallah El Ali, L. Bazen, I. Groen … Kendall RattnerPreprint
  21. 2008
    Multiagent Incremental Learning in Structured NetworksGauvain Bourgne, A. El Fallah Seghrouchni, N. Maudet … SoldanoPreprint
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.