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Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons
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Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons

Kyunghyun Cho
ArXiv (abs)PDFHTML

Papers citing "Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons"

4 / 4 papers shown
Title
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
266
2,179
0
18 Feb 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler
Rob Fergus
201
990
0
16 Jan 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
165
6,635
0
22 Dec 2012
Improving neural networks by preventing co-adaptation of feature detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
465
7,673
0
03 Jul 2012

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