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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
Feature Evaluation of Deep Convolutional Neural Networks for Object
  Recognition and Detection
Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection
Hirokatsu Kataoka
K. Iwata
Y. Satoh
ObjD
42
19
0
25 Sep 2015
Deep Boltzmann Machines in Estimation of Distribution Algorithms for
  Combinatorial Optimization
Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization
Malte Probst
Franz Rothlauf
51
7
0
22 Sep 2015
Telugu OCR Framework using Deep Learning
Telugu OCR Framework using Deep Learning
Rakesh Achanta
Trevor Hastie
22
22
0
20 Sep 2015
"Oddball SGD": Novelty Driven Stochastic Gradient Descent for Training
  Deep Neural Networks
"Oddball SGD": Novelty Driven Stochastic Gradient Descent for Training Deep Neural Networks
Andrew J. R. Simpson
47
5
0
18 Sep 2015
Deep Multi-task Learning for Railway Track Inspection
Deep Multi-task Learning for Railway Track Inspection
Xavier Gibert
Vishal M. Patel
Rama Chellappa
56
345
0
17 Sep 2015
Taming the ReLU with Parallel Dither in a Deep Neural Network
Taming the ReLU with Parallel Dither in a Deep Neural Network
Andrew J. R. Simpson
19
6
0
17 Sep 2015
Adapting Resilient Propagation for Deep Learning
Adapting Resilient Propagation for Deep Learning
Alan Mosca
G. D. Magoulas
24
14
0
15 Sep 2015
Deep Learning Applied to Image and Text Matching
Deep Learning Applied to Image and Text Matching
Afroze Ibrahim Baqapuri
VLM
26
0
0
14 Sep 2015
Learning Sparse Feature Representations using Probabilistic Quadtrees
  and Deep Belief Nets
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets
Saikat Basu
Manohar Karki
S. Ganguly
Robert DiBiano
S. Mukhopadhyay
R. Nemani
TPM
86
81
0
11 Sep 2015
Use it or Lose it: Selective Memory and Forgetting in a Perpetual
  Learning Machine
Use it or Lose it: Selective Memory and Forgetting in a Perpetual Learning Machine
Andrew J. R. Simpson
CLL
21
2
0
10 Sep 2015
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
299
6,145
0
04 Sep 2015
CNN Based Hashing for Image Retrieval
CNN Based Hashing for Image Retrieval
J. Guo
Jianmin Li
57
17
0
04 Sep 2015
On-the-Fly Learning in a Perpetual Learning Machine
On-the-Fly Learning in a Perpetual Learning Machine
Andrew J. R. Simpson
36
9
0
03 Sep 2015
A Neural Attention Model for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
S. Chopra
Jason Weston
CVBM
190
2,705
0
02 Sep 2015
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata
Justin Johnson
Lamberto Ballan
Fei-Fei Li
VLM
104
118
0
30 Aug 2015
Parallel Dither and Dropout for Regularising Deep Neural Networks
Parallel Dither and Dropout for Regularising Deep Neural Networks
Andrew J. R. Simpson
16
6
0
28 Aug 2015
Partitioning Large Scale Deep Belief Networks Using Dropout
Partitioning Large Scale Deep Belief Networks Using Dropout
Yanping Huang
Shanghang Zhang
17
0
0
28 Aug 2015
Character-Aware Neural Language Models
Character-Aware Neural Language Models
Yoon Kim
Yacine Jernite
David Sontag
Alexander M. Rush
154
1,672
0
26 Aug 2015
DeepWriterID: An End-to-end Online Text-independent Writer
  Identification System
DeepWriterID: An End-to-end Online Text-independent Writer Identification System
Weixin Yang
Lianwen Jin
Manfei Liu
HAI
389
113
0
20 Aug 2015
Dither is Better than Dropout for Regularising Deep Neural Networks
Dither is Better than Dropout for Regularising Deep Neural Networks
Andrew J. R. Simpson
16
12
0
19 Aug 2015
End-to-End Attention-based Large Vocabulary Speech Recognition
End-to-End Attention-based Large Vocabulary Speech Recognition
Dzmitry Bahdanau
J. Chorowski
Dmitriy Serdyuk
Philemon Brakel
Yoshua Bengio
153
1,152
0
18 Aug 2015
Molding CNNs for text: non-linear, non-consecutive convolutions
Molding CNNs for text: non-linear, non-consecutive convolutions
Tao Lei
Regina Barzilay
Tommi Jaakkola
103
146
0
17 Aug 2015
Classifying Relations via Long Short Term Memory Networks along Shortest
  Dependency Path
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path
Xu Yan
Lili Mou
Ge Li
Yunchuan Chen
Hao Peng
Zhi Jin
66
661
0
15 Aug 2015
Bayesian Dropout
Bayesian Dropout
Tue Herlau
Morten Mørup
Mikkel N. Schmidt
BDL
69
2
0
12 Aug 2015
Dropout Training for SVMs with Data Augmentation
Dropout Training for SVMs with Data Augmentation
Ning Chen
Jun Zhu
Jianfei Chen
Ting Chen
58
8
0
10 Aug 2015
Learning from LDA using Deep Neural Networks
Learning from LDA using Deep Neural Networks
Dongxu Zhang
Tianyi Luo
Dong Wang
Rong Liu
BDL
102
23
0
05 Aug 2015
Indexing of CNN Features for Large Scale Image Search
Indexing of CNN Features for Large Scale Image Search
Ruoyu Liu
Yao-Min Zhao
Shikui Wei
Lixin Liao
75
39
0
02 Aug 2015
Land Use Classification in Remote Sensing Images by Convolutional Neural
  Networks
Land Use Classification in Remote Sensing Images by Convolutional Neural Networks
M. Castelluccio
Giovanni Poggi
Carlo Sansone
L. Verdoliva
84
612
0
01 Aug 2015
Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural
  Networks for Image Classification
Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification
Fan Wu
Peijun Hu
D. Kong
103
30
0
31 Jul 2015
Compression of Fully-Connected Layer in Neural Network by Kronecker
  Product
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
Shuchang Zhou
Jia-Nan Wu
87
26
0
21 Jul 2015
Fast Adaptive Weight Noise
Fast Adaptive Weight Noise
Justin Bayer
Maximilian Karl
Daniela Korhammer
Patrick van der Smagt
BDLOODODL
71
3
0
19 Jul 2015
Maximum Entropy Deep Inverse Reinforcement Learning
Maximum Entropy Deep Inverse Reinforcement Learning
Markus Wulfmeier
Peter Ondruska
Ingmar Posner
OOD
161
406
0
17 Jul 2015
Place Categorization and Semantic Mapping on a Mobile Robot
Place Categorization and Semantic Mapping on a Mobile Robot
Niko Sünderhauf
Feras Dayoub
Sean McMahon
Ben Talbot
R. Schulz
Peter Corke
G. Wyeth
B. Upcroft
Michael Milford
68
132
0
09 Jul 2015
Feature Representation in Convolutional Neural Networks
Feature Representation in Convolutional Neural Networks
Ben Athiwaratkun
Keegan Kang
FAttSSL
91
77
0
08 Jul 2015
Dependency-based Convolutional Neural Networks for Sentence Embedding
Dependency-based Convolutional Neural Networks for Sentence Embedding
Mingbo Ma
Liang Huang
Bing Xiang
Bowen Zhou
81
119
0
07 Jul 2015
End-to-end Convolutional Network for Saliency Prediction
End-to-end Convolutional Network for Saliency Prediction
Junting Pan
Xavier Giró-i-Nieto
97
23
0
06 Jul 2015
Distributional Smoothing with Virtual Adversarial Training
Distributional Smoothing with Virtual Adversarial Training
Takeru Miyato
S. Maeda
Masanori Koyama
Ken Nakae
S. Ishii
132
458
0
02 Jul 2015
Dropout as data augmentation
Dropout as data augmentation
Xavier Bouthillier
K. Konda
Pascal Vincent
Roland Memisevic
137
134
0
29 Jun 2015
Attention-Based Models for Speech Recognition
Attention-Based Models for Speech Recognition
J. Chorowski
Dzmitry Bahdanau
Dmitriy Serdyuk
Kyunghyun Cho
Yoshua Bengio
149
2,613
0
24 Jun 2015
Understanding Neural Networks Through Deep Visualization
Understanding Neural Networks Through Deep Visualization
J. Yosinski
Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
FAttAI4CE
139
1,877
0
22 Jun 2015
Answer Sequence Learning with Neural Networks for Answer Selection in
  Community Question Answering
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
Xiaoqiang Zhou
Baotian Hu
Qingcai Chen
Buzhou Tang
Xiaolong Wang
89
64
0
22 Jun 2015
On the Depth of Deep Neural Networks: A Theoretical View
On the Depth of Deep Neural Networks: A Theoretical View
Shizhao Sun
Wei-neng Chen
Liwei Wang
Xiaoguang Liu
Tie-Yan Liu
73
20
0
17 Jun 2015
Multi-path Convolutional Neural Networks for Complex Image
  Classification
Multi-path Convolutional Neural Networks for Complex Image Classification
Mingming Wang
71
21
0
15 Jun 2015
A Fast Incremental Gaussian Mixture Model
A Fast Incremental Gaussian Mixture Model
R. Pinto
P. Engel
72
67
0
14 Jun 2015
A Scale Mixture Perspective of Multiplicative Noise in Neural Networks
A Scale Mixture Perspective of Multiplicative Noise in Neural Networks
Eric T. Nalisnick
Anima Anandkumar
Padhraic Smyth
137
19
0
10 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
798
37,220
0
08 Jun 2015
Variational Dropout and the Local Reparameterization Trick
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma
Tim Salimans
Max Welling
BDL
242
1,519
0
08 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffMBDL
156
258
0
08 Jun 2015
Dropout as a Bayesian Approximation: Appendix
Dropout as a Bayesian Approximation: Appendix
Y. Gal
Zoubin Ghahramani
BDL
113
66
0
06 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
364
7,415
0
05 Jun 2015
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