Concepedia

Surrogate Loss

Surrogate Loss is a differentiable and computationally tractable loss function that serves as a proxy for a non-differentiable or intractable target loss in optimization, differing from other loss functions by enabling efficient gradient-based learning while approximating the original objective.

160

Publications

13.9K

Citations

398

Authors

155

Institutions

Publications per year

2017–2026

93

Variants

Surrogate Loss Function

Parents

Publications

160

In Defense of the Triplet Loss for Person Re-Identification

Alexander Hermans, Lucas Beyer, Bastian Leibe · arXiv (Cornell University) · 2017 · 2.9K citations · Full text

, , +16

Convexity, Classification, and Risk Bounds

Peter L. Bartlett, Michael I. Jordan, Jon McAuliffe · Journal of the American Statistical Association · 2006 · 1.1K citations

, , +16

Classification with Noisy Labels by Importance Reweighting

Tongliang Liu, Dacheng Tao · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2015 · 806 citations · Full text

, , +17

Learning with Noisy Labels

Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar et al. · 2013 · 563 citations

, , +16

Deep semantic ranking based hashing for multi-label image retrieval

Fang Zhao, Yongzhen Huang, Liang Wang et al. · 2015 · 494 citations

, , +16

1–5 of 160

Authors

398

  1. SA
    Shivani Agarwal

    Indian Institute of Science Bangalore, India

    7 publications · 144 citations

    7

    h-index

  2. MI
    Michael I. Jordan

    University of California, Berkeley, United States

    5 publications · 1.2K citations

    5

    h-index

  3. ZZ
    Zhi‐Hua Zhou

    Nanjing University, China

    5 publications · 194 citations

    5

    h-index

  4. PL
    Peter L. Bartlett

    University of California, Berkeley, United States

    5 publications · 1.6K citations

    5

    h-index

  5. JC
    John C. Duchi

    Stanford University, United States

    4 publications · 168 citations

    4

    h-index

1–5 of 398

Institutions

155

  1. University of California, Berkeley

    Berkeley, United States

    9 h-index

    27 publications

    4.2K citations

  2. Indian Institute of Science Bangalore

    Bengaluru, India

    7 h-index

    12 publications

    228 citations

  3. Nanjing University

    Nanjing, China

    6 h-index

    16 publications

    457 citations

  4. University of Michigan

    Ann Arbor, United States

    5 h-index

    5 publications

    715 citations

  5. The University of Texas at Austin

    Austin, United States

    5 h-index

    15 publications

    2.1K citations

  6. Toyota Technological Institute at Chicago

    Chicago, United States

    5 h-index

    9 publications

    546 citations

  7. Chinese Academy of Sciences

    Beijing, China

    4 h-index

    10 publications

    2.5K citations

  8. University of Technology Sydney

    Sydney, Australia

    3 h-index

    5 publications

    1.8K citations

1–8 of 155

Venues

  1. arXiv (Cornell University)

    Repository · 52 publications · 4.9K citations

    27

    h-index

  2. Neural Information Processing Systems

    Conference · 5 publications · 499 citations

    5

    h-index

  3. 4

    h-index

  4. 4

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 238 citations

    4

    h-index

1–5