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 5 citing papers from institutions across 5 countries.
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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- Guangdong University of Finance and Economics (1)
- Changchun University of Science and Technology (1)
- Jinan University (1)
- Mississippi State University (1)
- The University of Sydney (1)
- University of Engineering and Technology (UET) (1)
- The Chinese University of Hong Kong (1)
- University of Technology Sydney and CSIRO (1)
- King Fahd University of Petroleum and Minerals (1)
- The University of Melbourne (1)
- Australian National University (1)
- The University of Western Australia (1)
Papers citing this work (5 resolved)
· Xia Zhao, Limin Wang, Yufei Zhang, Xuming Han +260 more
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· Jiacheng Ruan, Jincheng Li, Suncheng Xiang
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