Dynamic Architectures

Dynamic Architectures is a continual learning framework that dynamically modifies its neural network structure by adding or reconfiguring components during sequential task acquisition to mitigate catastrophic forgetting while preserving model plasticity and capacity.

171

Publications

10.4K

Citations

490

Authors

201

Institutions

Publications per year

2017–2026

54

Authors

490

  1. FO
    Flávio Oquendo

    Université de Bretagne Sud, France

    7 publications · 415 citations

    7

    h-index

  2. MJ
    Mohamed Jmaïel

    University of Sfax, Tunisia

    5 publications · 77 citations

    5

    h-index

  3. KD
    Khalil Drira

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    4 publications · 66 citations

    4

    h-index

  4. GM
    Gregory M. Papadopoulos

    Massachusetts Institute of Technology, United States

    4 publications · 344 citations

    4

    h-index

  5. HH
    Houman Homayoun

    George Mason University, United States

    4 publications · 93 citations

    4

    h-index

1–5 of 490

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 401 citations

    9

    h-index

  2. ACM SIGSOFT Software Engineering Notes

    SEN · 4 publications · 388 citations

    4

    h-index

  3. IEE Proceedings - Software

    3 publications · 122 citations

    3

    h-index

  4. Electronic Notes in Theoretical Computer Science

    ENTCS · 3 publications · 72 citations

    3

    h-index

  5. Frontiers in Neurorobotics

    2 publications · 42 citations

    2

    h-index

1–5