Parameter Isolation

Parameter Isolation is a continual learning strategy that allocates distinct subsets of model parameters to different tasks to prevent interference during sequential learning.

11

Publications

250

Citations

53

Authors

22

Institutions

Publications per year

2017–2026

8

Variants

Parameter Masking

Authors

53

  1. BM
    Bryan M. Williams

    University of Liverpool, United Kingdom

    2 publications · 64 citations

    2

    h-index

  2. HR
    Hossein Rahmani

    Lancaster University, United Kingdom

    2 publications · 64 citations

    2

    h-index

  3. HQ
    Haoxuan Qu

    Singapore University of Technology and Design, Singapore

    2 publications · 64 citations

    2

    h-index

  4. JC
    Jiannong Cao

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 20 citations

    1

    h-index

  5. SW
    Senzhang Wang

    Nanjing University of Aeronautics and Astronautics, China

    1 publications · 38 citations

    1

    h-index

1–5 of 53

Venues

  1. Defense Technical Information Center (DTIC)

    Repository · 1 publications · 14 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 41 citations

    1

    h-index

  5. IET Computer Vision

    1 publications · 23 citations

    1

    h-index

1–5