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Dropout: A Simple Way to Prevent Neural Networks from Overfitting

Dropout: A Simple Way to Prevent Neural Networks from Overfitting (2014) has been cited 62,059 times according to Google Scholar. CitationMap has resolved 110 citing papers from institutions across 24 countries.

Journal of Machine Learning Research2014View paper

Authors: Alex Krizhevsky (University of Toronto), Ilya Sutskever (University of Toronto), Ruslan Salakhutdinov (University of Toronto), Nitish Srivastava (University of Toronto), Geoffrey Hinton (University of Toronto)

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Where this paper is cited

China · 24United States · 20Australia · 4Canada · 3Germany · 3Japan · 2United Kingdom · 2Netherlands · 2

Top citing institutions

  • The University of Sydney (2)
  • Shanghai Jiao Tong University (2)
  • New York University (2)
  • Tsinghua University (2)
  • Wuhan University (2)
  • Hong Kong Baptist University (2)
  • University of Wuppertal (2)
  • Mississippi State University (1)
  • Changchun University of Science and Technology (1)
  • Guangdong University of Finance and Economics (1)
  • Jinan University (1)
  • King Fahd University of Petroleum and Minerals (1)

Papers citing this work (110 resolved)

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