Online Continual Learning

Online Continual Learning is a subparadigm of continual learning in which a model incrementally learns from a continuous, sequential stream of data instances without revisiting past data, distinguished by its constraint of single-pass learning and immediate adaptation to new information.

136

Publications

6.7K

Citations

421

Authors

144

Institutions

Publications per year

2017–2026

123

Authors

421

  1. ML
    Min Lin

    National University of Singapore, Singapore

    6 publications · 451 citations

    6

    h-index

  2. MC
    M. Caccia

    European Organization for Nuclear Research, Switzerland

    6 publications · 394 citations

    6

    h-index

  3. RA
    Rahaf Aljundi

    KU Leuven, Belgium

    6 publications · 446 citations

    6

    h-index

  4. LC
    Lucas Caccia

    McGill University, Canada

    5 publications · 183 citations

    5

    h-index

  5. ZM
    Zheda Mai

    University of Toronto, Canada

    5 publications · 744 citations

    5

    h-index

1–5 of 421

Venues

  1. arXiv (Cornell University)

    Repository · 38 publications · 1.7K citations

    22

    h-index

  2. Neurocomputing

    5 publications · 518 citations

    5

    h-index

  3. Neural Information Processing Systems

    Conference · 4 publications · 106 citations

    4

    h-index

  4. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 4 publications · 399 citations

    4

    h-index

  5. Information Sciences

    4 publications · 129 citations

    4

    h-index

1–5