Task Transferability

Task Transferability is a measure of the extent to which knowledge, representations, or model parameters learned from one task can be effectively applied to improve performance on another distinct but related task within the framework of multi-task learning.

75

Publications

8.2K

Citations

277

Authors

113

Institutions

Publications per year

2017–2026

45

Authors

277

  1. TD
    Trevor Darrell

    University of California, Berkeley, United States

    3 publications · 210 citations

    3

    h-index

  2. TV
    Tu Vu

    University of Massachusetts Amherst, United States

    3 publications · 288 citations

    3

    h-index

  3. JZ
    Jie Zhou

    Tencent (China), China

    3 publications · 105 citations

    3

    h-index

  4. ZL
    Zhiyuan Liu

    Tsinghua University, China

    3 publications · 105 citations

    3

    h-index

  5. JJ
    Jeroen J. G. van Merriënboer

    Maastricht University, Netherlands

    3 publications · 167 citations

    3

    h-index

1–5 of 277

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 3.9K citations

    11

    h-index

  2. 3

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 138 citations

    3

    h-index

  4. 2

    h-index

  5. Journal of Experimental Psychology

    2 publications · 72 citations

    2

    h-index

1–5