Concepedia

Adversarial Loss

Adversarial Loss is a type of loss function used in machine learning that quantifies the discrepancy between a model's predictions and the desired adversarial objectives, typically by measuring the divergence between real and generated data distributions in a minimax game framework.

1.2K

Publications

148.2K

Citations

4.3K

Authors

907

Institutions

Publications per year

2017–2026

1.2K

Parents

Publications

1.2K

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

Jun-Yan Zhu, Taesung Park, Phillip Isola et al. · 2017 · 21.9K citations · Full text

, , +9

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Christian Ledig, Lucas Theis, Ferenc Huszár et al. · 2017 · 12.3K citations

, , +14

DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks

Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard · 2016 · 5.3K citations · Full text

, , +12

Adversarial Discriminative Domain Adaptation

Eric Tzeng, Judy Hoffman, Kate Saenko et al. · 2017 · 5K citations

, , +14

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Martin Heusel, Hubert Ramsauer, Thomas Unterthiner et al. · arXiv (Cornell University) · 2017 · 4.5K citations · Full text

, , +16

1–5 of 1.2K

Authors

4.3K

  1. MY
    Ming–Hsuan Yang

    University of California, Merced, United States

    9 publications · 1.8K citations

    9

    h-index

  2. PH
    Pheng‐Ann Heng

    Chinese University of Hong Kong, Hong Kong SAR China

    9 publications · 1.4K citations

    9

    h-index

  3. RH
    Ran He

    Institute of Automation, China

    8 publications · 1.2K citations

    8

    h-index

  4. PK
    Pushmeet Kohli

    Microsoft Research (United Kingdom), United Kingdom

    7 publications · 876 citations

    7

    h-index

  5. SG
    Sven Gowal

    Google (United States), United States

    6 publications · 859 citations

    6

    h-index

1–5 of 4.3K

Institutions

907

  1. Chinese Academy of Sciences

    Beijing, China

    28 h-index

    129 publications

    11.7K citations

  2. Google (United States)

    Mountain View, United States

    23 h-index

    73 publications

    7.5K citations

  3. University of Chinese Academy of Sciences

    Beijing, China

    23 h-index

    80 publications

    11.3K citations

  4. Tsinghua University

    Beijing, China

    20 h-index

    89 publications

    5.2K citations

  5. Tencent (China)

    Shenzhen, China

    20 h-index

    53 publications

    4.7K citations

  6. Xidian University

    Xi'an, China

    19 h-index

    53 publications

    3.5K citations

  7. University of California, Berkeley

    Berkeley, United States

    18 h-index

    50 publications

    115.2K citations

  8. Stanford University

    Stanford, United States

    18 h-index

    52 publications

    12.3K citations

1–8 of 907

Venues

  1. arXiv (Cornell University)

    Repository · 300 publications · 31.2K citations

    76

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 27 publications · 2K citations

    20

    h-index

  3. IEEE Access

    36 publications · 1.3K citations

    19

    h-index

  4. IEEE Transactions on Image Processing

    22 publications · 3.4K citations

    19

    h-index

  5. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 25 publications · 4.5K citations

    19

    h-index

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