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Improving neural networks by preventing co-adaptation of feature
  detectors

Improving neural networks by preventing co-adaptation of feature detectors

3 July 2012
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
    VLM
ArXiv (abs)PDFHTML

Papers citing "Improving neural networks by preventing co-adaptation of feature detectors"

50 / 1,729 papers shown
Title
Invariant backpropagation: how to train a transformation-invariant
  neural network
Invariant backpropagation: how to train a transformation-invariant neural network
S. Demyanov
James Bailey
K. Ramamohanarao
C. Leckie
OODAAML
99
8
0
16 Feb 2015
Abstract Learning via Demodulation in a Deep Neural Network
Abstract Learning via Demodulation in a Deep Neural Network
Andrew J. R. Simpson
AI4CE
80
25
0
13 Feb 2015
Over-Sampling in a Deep Neural Network
Over-Sampling in a Deep Neural Network
Andrew J. R. Simpson
77
24
0
12 Feb 2015
An exploration of parameter redundancy in deep networks with circulant
  projections
An exploration of parameter redundancy in deep networks with circulant projections
Yu Cheng
Felix X. Yu
Rogerio Feris
Sanjiv Kumar
A. Choudhary
Shih-Fu Chang
88
49
0
11 Feb 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
239
5,226
0
10 Feb 2015
Generative Moment Matching Networks
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OODGAN
133
847
0
10 Feb 2015
Deep Learning with Limited Numerical Precision
Deep Learning with Limited Numerical Precision
Suyog Gupta
A. Agrawal
K. Gopalakrishnan
P. Narayanan
HAI
213
2,051
0
09 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
419
18,677
0
06 Feb 2015
Text Understanding from Scratch
Text Understanding from Scratch
Xiang Zhang
Yann LeCun
82
558
0
05 Feb 2015
DeepID3: Face Recognition with Very Deep Neural Networks
DeepID3: Face Recognition with Very Deep Neural Networks
Yi Sun
Ding Liang
Xiaogang Wang
Xiaoou Tang
CVBM
98
942
0
03 Feb 2015
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to
  Probe and Learn Neural Networks
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks
Shiliang Zhang
Hui Jiang
3DV
81
9
0
03 Feb 2015
Deep learning of fMRI big data: a novel approach to subject-transfer
  decoding
Deep learning of fMRI big data: a novel approach to subject-transfer decoding
Sotetsu Koyamada
Yumi Shikauchi
Ken Nakae
Masanori Koyama
S. Ishii
78
69
0
31 Jan 2015
Sketch-a-Net that Beats Humans
Sketch-a-Net that Beats Humans
Qian Yu
Yongxin Yang
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
BDL
56
51
0
30 Jan 2015
On Vectorization of Deep Convolutional Neural Networks for Vision Tasks
On Vectorization of Deep Convolutional Neural Networks for Vision Tasks
Jimmy S. J. Ren
Li Xu
MQ
83
85
0
29 Jan 2015
On the Performance of ConvNet Features for Place Recognition
On the Performance of ConvNet Features for Place Recognition
Niko Sünderhauf
Feras Dayoub
S. Shirazi
B. Upcroft
Michael Milford
98
533
0
17 Jan 2015
ModDrop: adaptive multi-modal gesture recognition
ModDrop: adaptive multi-modal gesture recognition
Natalia Neverova
Christian Wolf
Graham W. Taylor
Florian Nebout
135
297
0
31 Dec 2014
Disjunctive Normal Networks
Disjunctive Normal Networks
Mehdi S. M. Sajjadi
Mojtaba Seyedhosseini
Tolga Tasdizen
45
5
0
30 Dec 2014
Automatic Photo Adjustment Using Deep Neural Networks
Automatic Photo Adjustment Using Deep Neural Networks
Zhicheng Yan
Huatian Zhang
Baoyuan Wang
Sylvain Paris
Yizhou Yu
45
10
0
24 Dec 2014
Learning Non-deterministic Representations with Energy-based Ensembles
Learning Non-deterministic Representations with Energy-based Ensembles
Maruan Al-Shedivat
Emre Neftci
Gert Cauwenberghs
OODDiffM
53
2
0
23 Dec 2014
Learning Compact Convolutional Neural Networks with Nested Dropout
Learning Compact Convolutional Neural Networks with Nested Dropout
Chelsea Finn
Lisa Anne Hendricks
Trevor Darrell
SSL
66
4
0
22 Dec 2014
Joint RNN-Based Greedy Parsing and Word Composition
Joint RNN-Based Greedy Parsing and Word Composition
Joël Legrand
R. Collobert
78
20
0
22 Dec 2014
Training deep neural networks with low precision multiplications
Training deep neural networks with low precision multiplications
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
113
50
0
22 Dec 2014
A Bayesian encourages dropout
A Bayesian encourages dropout
S. Maeda
BDL
86
45
0
22 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.3K
150,586
0
22 Dec 2014
Half-CNN: A General Framework for Whole-Image Regression
Half-CNN: A General Framework for Whole-Image Regression
Jun Yuan
Bingbing Ni
A. Kassim
CVBM
30
23
0
22 Dec 2014
Learning Activation Functions to Improve Deep Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli
Matthew Hoffman
Peter Sadowski
Pierre Baldi
ODL
239
476
0
21 Dec 2014
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
267
4,682
0
21 Dec 2014
Principal Sensitivity Analysis
Principal Sensitivity Analysis
Sotetsu Koyamada
Masanori Koyama
Ken Nakae
S. Ishii
94
9
0
21 Dec 2014
Neural Network Regularization via Robust Weight Factorization
Neural Network Regularization via Robust Weight Factorization
Jan Rudy
Weiguang Ding
Daniel Jiwoong Im
Graham W. Taylor
OOD
93
6
0
20 Dec 2014
An Analysis of Unsupervised Pre-training in Light of Recent Advances
An Analysis of Unsupervised Pre-training in Light of Recent Advances
T. Paine
Pooya Khorrami
Wei Han
Thomas S. Huang
SSL
151
56
0
20 Dec 2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Scott E. Reed
Honglak Lee
Dragomir Anguelov
Christian Szegedy
D. Erhan
Andrew Rabinovich
NoLa
127
1,023
0
20 Dec 2014
Detecting Epileptic Seizures from EEG Data using Neural Networks
Siddharth Pramod
A. Page
T. Mohsenin
Tim Oates
53
18
0
19 Dec 2014
Deep Structured Output Learning for Unconstrained Text Recognition
Deep Structured Output Learning for Unconstrained Text Recognition
Max Jaderberg
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
132
234
0
18 Dec 2014
Deep Speech: Scaling up end-to-end speech recognition
Deep Speech: Scaling up end-to-end speech recognition
Awni Y. Hannun
Carl Case
Jared Casper
Bryan Catanzaro
G. Diamos
...
R. Prenger
S. Satheesh
Shubho Sengupta
Adam Coates
A. Ng
200
2,131
0
17 Dec 2014
Learning unbiased features
Learning unbiased features
Yujia Li
Kevin Swersky
R. Zemel
OODSSLFaML
93
70
0
17 Dec 2014
Sparse, guided feature connections in an Abstract Deep Network
Sparse, guided feature connections in an Abstract Deep Network
Anthony Knittel
Alan Blair
29
0
0
16 Dec 2014
Learning with Pseudo-Ensembles
Learning with Pseudo-Ensembles
Philip Bachman
O. Alsharif
Doina Precup
108
604
0
16 Dec 2014
On the Inductive Bias of Dropout
On the Inductive Bias of Dropout
D. Helmbold
Philip M. Long
194
71
0
15 Dec 2014
Combining the Best of Graphical Models and ConvNets for Semantic
  Segmentation
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation
Michael Cogswell
Xiao Lin
Senthil Purushwalkam
Dhruv Batra
SSeg
81
16
0
14 Dec 2014
Teaching Deep Convolutional Neural Networks to Play Go
Teaching Deep Convolutional Neural Networks to Play Go
Christopher Clark
Amos Storkey
OOD
117
30
0
10 Dec 2014
Object Recognition Using Deep Neural Networks: A Survey
Object Recognition Using Deep Neural Networks: A Survey
S. Goyal
Paul Benjamin
ObjD
66
32
0
10 Dec 2014
Visual Causal Feature Learning
Visual Causal Feature Learning
Krzysztof Chalupka
Pietro Perona
F. Eberhardt
CMLOOD
103
141
0
07 Dec 2014
Reading Text in the Wild with Convolutional Neural Networks
Reading Text in the Wild with Convolutional Neural Networks
Max Jaderberg
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
134
1,169
0
04 Dec 2014
End-to-end Continuous Speech Recognition using Attention-based Recurrent
  NN: First Results
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
J. Chorowski
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
106
471
0
04 Dec 2014
Memory Bounded Deep Convolutional Networks
Memory Bounded Deep Convolutional Networks
Maxwell D. Collins
Pushmeet Kohli
130
172
0
03 Dec 2014
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
329
924
0
03 Dec 2014
Effective Use of Word Order for Text Categorization with Convolutional
  Neural Networks
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
Rie Johnson
Tong Zhang
121
882
0
01 Dec 2014
Learning Face Representation from Scratch
Learning Face Representation from Scratch
Dong Yi
Zhen Lei
Tianran Ouyang
Stan Z. Li
CVBM
121
2,013
0
28 Nov 2014
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for
  Image Annotation
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation
Benjamin Klein
Guy Lev
Gil Sadeh
Lior Wolf
104
102
0
26 Nov 2014
Scale-Invariant Convolutional Neural Networks
Scale-Invariant Convolutional Neural Networks
Yichong Xu
Tianjun Xiao
Jiaxing Zhang
Kuiyuan Yang
Zheng Zhang
120
138
0
24 Nov 2014
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