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1302.4389
Cited By
Maxout Networks
18 February 2013
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
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Papers citing
"Maxout Networks"
10 / 810 papers shown
Title
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?
James Bergstra
David D. Cox
3DH
35
23
0
14 Jun 2013
Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons
Kyunghyun Cho
62
6
0
12 Jun 2013
Horizontal and Vertical Ensemble with Deep Representation for Classification
Jingjing Xie
Bing Xu
Chuang Zhang
SSL
48
76
0
12 Jun 2013
Predicting Parameters in Deep Learning
Misha Denil
B. Shakibi
Laurent Dinh
MarcÁurelio Ranzato
Nando de Freitas
OOD
42
1,309
0
03 Jun 2013
Estimating or Propagating Gradients Through Stochastic Neurons
Yoshua Bengio
48
108
0
14 May 2013
Deep Learning of Representations: Looking Forward
Yoshua Bengio
57
680
0
02 May 2013
Knowledge Matters: Importance of Prior Information for Optimization
Çağlar Gülçehre
Yoshua Bengio
56
165
0
17 Jan 2013
Learnable Pooling Regions for Image Classification
Mateusz Malinowski
Mario Fritz
31
39
0
15 Jan 2013
Joint Training of Deep Boltzmann Machines
Ian Goodfellow
Aaron Courville
Yoshua Bengio
FedML
74
28
0
12 Dec 2012
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
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