Concepedia

Dropout

Dropout is a regularization technique in neural networks that randomly disables neurons during training to prevent overfitting by reducing co-adaptation among units.

4.8K

Publications

380.7K

Citations

15.1K

Authors

4K

Institutions

Publications per year

2017–2026

2.1K

Parents

Publications

4.8K

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

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Improving neural networks by preventing co-adaptation of feature detectors

Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky et al. · arXiv (Cornell University) · 2012 · 6.7K citations · Full text

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CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

Sangdoo Yun, Dongyoon Han, Sanghyuk Chun et al. · 2019 · 4.7K citations

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Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning

Yarin Gal, Zoubin Ghahramani · arXiv (Cornell University) · 2015 · 4.2K citations · Full text

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Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework

Mandeep Sekhon, Martin Cartwright, Jill Francis · BMC Health Services Research · 2017 · 4.1K citations · Full text

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1–5 of 4.8K

Authors

15.1K

  1. YG
    Yarin Gal

    University of Oxford, United Kingdom

    18 publications · 10.1K citations

    17

    h-index

  2. RW
    Russell W. Rumberger

    University of California, Santa Barbara, United States

    13 publications · 4.5K citations

    13

    h-index

  3. GM
    Geert Molenberghs

    Hasselt University, Belgium

    13 publications · 749 citations

    12

    h-index

  4. RB
    Robert Balfanz

    Johns Hopkins University, United States

    12 publications · 691 citations

    11

    h-index

  5. MJ
    Michel Janosz

    Université de Montréal, Canada

    12 publications · 2.6K citations

    11

    h-index

1–5 of 15.1K

Institutions

4K

  1. Johns Hopkins University

    Baltimore, United States

    34 h-index

    99 publications

    10.3K citations

  2. Stanford University

    Stanford, United States

    32 h-index

    92 publications

    11.6K citations

  3. Harvard University

    Cambridge, United States

    29 h-index

    77 publications

    5.7K citations

  4. University of California, Los Angeles

    Los Angeles, United States

    26 h-index

    59 publications

    4.7K citations

  5. KU Leuven

    Leuven, Belgium

    25 h-index

    58 publications

    3.7K citations

  6. University of Washington

    Seattle, United States

    23 h-index

    57 publications

    3.3K citations

  7. Université de Montréal

    Montreal, Canada

    23 h-index

    100 publications

    28.3K citations

  8. University College London

    London, United Kingdom

    22 h-index

    64 publications

    4.4K citations

1–8 of 4K

Venues

  1. arXiv (Cornell University)

    Repository · 179 publications · 34.8K citations

    61

    h-index

  2. IEEE Access

    60 publications · 4.7K citations

    34

    h-index

  3. PubMed

    Repository · 68 publications · 4.7K citations

    32

    h-index

  4. PLoS ONE

    33 publications · 1.6K citations

    23

    h-index

  5. American Educational Research Journal

    AERJ · 20 publications · 5.6K citations

    20

    h-index

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