Task-dependent Scaling

Task-Dependent Scaling is a scaling method in which the magnitude or form of scaling is determined by the specific requirements or characteristics of the task, distinguishing it from uniform or task-agnostic scaling approaches.

18

Publications

1.2K

Citations

81

Authors

27

Institutions

Publications per year

2017–2026

8

Authors

81

  1. NK
    Najoung Kim

    Johns Hopkins University, United States

    2 publications · 43 citations

    2

    h-index

  2. TK
    Tomasz Korbak

    University of Warsaw, Poland

    1 publications · 23 citations

    1

    h-index

  3. DK
    D.S. Kauffman

    1 publications · 23 citations

    1

    h-index

  4. NS
    Nan Shao

    Sun Yat-sen University, China

    1 publications · 32 citations

    1

    h-index

  5. LK
    Laurent Keller

    University of Lausanne, Switzerland

    1 publications · 28 citations

    1

    h-index

1–5 of 81

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 222 citations

    2

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 81 citations

    2

    h-index

  3. The International Journal of Robotics Research

    IJRR · 1 publications · 281 citations

    1

    h-index

  4. Perceptual and Motor Skills

    1 publications · 10 citations

    1

    h-index

  5. Science Advances

    1 publications · 65 citations

    1

    h-index

1–5