Regression Loss

Regression Loss is a type of loss function used in regression tasks that quantifies the discrepancy between predicted continuous values and actual target values, distinguishing itself by specifically measuring errors in the context of continuous outcome prediction.

149

Publications

11.6K

Citations

576

Authors

205

Institutions

Publications per year

2017–2026

136

Authors

576

  1. IR
    Ian Reid

    The University of Adelaide, Australia

    4 publications · 701 citations

    4

    h-index

  2. XY
    Xue Yang

    Shanghai Jiao Tong University, China

    4 publications · 632 citations

    4

    h-index

  3. JY
    Junchi Yan

    Shanghai Jiao Tong University, China

    4 publications · 565 citations

    4

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  4. CM
    Chao Ma

    Shanghai Jiao Tong University, China

    3 publications · 560 citations

    3

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  5. DE
    David E. A. Giles

    University of Victoria, Canada

    3 publications · 69 citations

    3

    h-index

1–5 of 576

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 1.5K citations

    18

    h-index

  2. Remote Sensing

    8 publications · 315 citations

    8

    h-index

  3. IEEE Access

    5 publications · 250 citations

    5

    h-index

  4. 5

    h-index

  5. Applied Sciences

    5 publications · 92 citations

    5

    h-index

1–5