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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
End-to-End Multi-View Networks for Text Classification
End-to-End Multi-View Networks for Text Classification
Hongyu Guo
Colin Cherry
Jiang Su
3DV
42
11
0
19 Apr 2017
User-transparent Distributed TensorFlow
User-transparent Distributed TensorFlow
Abhinav Vishnu
Joseph Manzano
Charles Siegel
J. Daily
42
5
0
15 Apr 2017
How Robust Are Character-Based Word Embeddings in Tagging and MT Against
  Wrod Scramlbing or Randdm Nouse?
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
G. Heigold
G. Neumann
Josef van Genabith
90
62
0
14 Apr 2017
Simplified Stochastic Feedforward Neural Networks
Simplified Stochastic Feedforward Neural Networks
Kimin Lee
Jaehyung Kim
S. Chong
Jinwoo Shin
43
3
0
11 Apr 2017
Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question
  Answering
Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering
V. Kazemi
Ali Elqursh
OOD
89
185
0
11 Apr 2017
Jet Constituents for Deep Neural Network Based Top Quark Tagging
Jet Constituents for Deep Neural Network Based Top Quark Tagging
Jannicke Pearkes
W. Fedorko
A. Lister
C. Gay
BDL
88
89
0
07 Apr 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural
  Networks
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu
David Evans
Yanjun Qi
AAML
106
1,285
0
04 Apr 2017
DyVEDeep: Dynamic Variable Effort Deep Neural Networks
DyVEDeep: Dynamic Variable Effort Deep Neural Networks
Sanjay Ganapathy
Swagath Venkataramani
Balaraman Ravindran
A. Raghunathan
51
8
0
04 Apr 2017
Optic Disc and Cup Segmentation Methods for Glaucoma Detection with
  Modification of U-Net Convolutional Neural Network
Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network
Artem Sevastopolsky
57
381
0
04 Apr 2017
Intraoperative margin assessment of human breast tissue in optical
  coherence tomography images using deep neural networks
Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networks
Amal Rannen Triki
Matthew B. Blaschko
Y. Jung
Seungri Song
Hyunju Han
Seung Il Kim
C. Joo
23
17
0
31 Mar 2017
Joining Hands: Exploiting Monolingual Treebanks for Parsing of
  Code-mixing Data
Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data
Irshad Ahmad Bhat
Riyaz Ahmad Bhat
Manish Shrivastava
D. Sharma
80
31
0
31 Mar 2017
Unifying the Stochastic Spectral Descent for Restricted Boltzmann
  Machines with Bernoulli or Gaussian Inputs
Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs
Kai Fan
27
1
0
28 Mar 2017
Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to
  Specific Appearance for Crowd Counting
Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting
Shohei Kumagai
Kazuhiro Hotta
Takio Kurita
76
73
0
28 Mar 2017
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping
Sebastian Gehrmann
Franck Dernoncourt
Yeran Li
Eric T. Carlson
Joy T. Wu
...
J. Foote
E. Moseley
David W. Grant
P. Tyler
Leo Anthony Celi
81
41
0
25 Mar 2017
Medical Image Retrieval using Deep Convolutional Neural Network
Medical Image Retrieval using Deep Convolutional Neural Network
A. Qayyum
Syed Muhammad Anwar
Muhammad Awais
Muhammad Majid
MedIm
59
371
0
24 Mar 2017
On the Robustness of Convolutional Neural Networks to Internal
  Architecture and Weight Perturbations
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations
N. Cheney
Martin Schrimpf
Gabriel Kreiman
OOD
80
45
0
23 Mar 2017
Topic Identification for Speech without ASR
Topic Identification for Speech without ASR
Chunxi Liu
J. Trmal
Sanjeev Khudanpur
Craig Harman
Sanjeev Khudanpur
BDL
68
20
0
22 Mar 2017
SORT: Second-Order Response Transform for Visual Recognition
SORT: Second-Order Response Transform for Visual Recognition
Yan Wang
Lingxi Xie
Chenxi Liu
Ya Zhang
Wenjun Zhang
Alan Yuille
71
53
0
20 Mar 2017
Multilevel Context Representation for Improving Object Recognition
Multilevel Context Representation for Improving Object Recognition
Andreas Kölsch
Muhammad Zeshan Afzal
Marcus Liwicki
50
3
0
19 Mar 2017
Curriculum Dropout
Curriculum Dropout
Pietro Morerio
Jacopo Cavazza
Riccardo Volpi
René Vidal
Vittorio Murino
ODL
146
107
0
18 Mar 2017
DropRegion Training of Inception Font Network for High-Performance
  Chinese Font Recognition
DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition
Shuangping Huangm Zhuoyao Zhong
Lianwen Jin
Shuye Zhang
Haobin Wang
56
18
0
17 Mar 2017
A Study of Complex Deep Learning Networks on High Performance,
  Neuromorphic, and Quantum Computers
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
T. Potok
Catherine D. Schuman
Steven R. Young
Robert M. Patton
F. Spedalieri
Jeremy Liu
Ke-Thia Yao
Garrett S. Rose
Gangotree Chakma
66
82
0
15 Mar 2017
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
Yingzhen Li
Y. Gal
UQCVBDL
147
197
0
08 Mar 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDLUQCV
95
1,741
0
08 Mar 2017
Applying Deep Machine Learning for psycho-demographic profiling of
  Internet users using O.C.E.A.N. model of personality
Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality
I. Omelianenko
23
0
0
07 Mar 2017
Genetic CNN
Genetic CNN
Lingxi Xie
Alan Yuille
3DV
149
847
0
04 Mar 2017
Deep Collaborative Learning for Visual Recognition
Deep Collaborative Learning for Visual Recognition
Yan Wang
Lingxi Xie
Ya Zhang
Wenjun Zhang
Alan Yuille
52
4
0
03 Mar 2017
Opening the Black Box of Deep Neural Networks via Information
Opening the Black Box of Deep Neural Networks via Information
Ravid Shwartz-Ziv
Naftali Tishby
AI4CE
165
1,420
0
02 Mar 2017
Learning Discrete Representations via Information Maximizing
  Self-Augmented Training
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu
Takeru Miyato
Seiya Tokui
Eiichi Matsumoto
Masashi Sugiyama
128
454
0
28 Feb 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm3DVVLM
145
225
0
24 Feb 2017
Use Generalized Representations, But Do Not Forget Surface Features
Use Generalized Representations, But Do Not Forget Surface Features
N. Moosavi
Michael Strube
NAI
39
4
0
24 Feb 2017
Neural Decision Trees
Neural Decision Trees
Randall Balestriero
112
48
0
23 Feb 2017
Robustness to Adversarial Examples through an Ensemble of Specialists
Robustness to Adversarial Examples through an Ensemble of Specialists
Mahdieh Abbasi
Christian Gagné
AAML
117
109
0
22 Feb 2017
The Power of Sparsity in Convolutional Neural Networks
The Power of Sparsity in Convolutional Neural Networks
Soravit Changpinyo
Mark Sandler
A. Zhmoginov
89
133
0
21 Feb 2017
Predicting Audience's Laughter Using Convolutional Neural Network
Predicting Audience's Laughter Using Convolutional Neural Network
Lei Chen
Chong Min Lee
HAI
52
27
0
08 Feb 2017
Neural Machine Translation with Source-Side Latent Graph Parsing
Neural Machine Translation with Source-Side Latent Graph Parsing
Kazuma Hashimoto
Yoshimasa Tsuruoka
BDL
110
48
0
08 Feb 2017
Search Intelligence: Deep Learning For Dominant Category Prediction
Search Intelligence: Deep Learning For Dominant Category Prediction
Z. Malik
Mo Kobrosli
Peter Maas
44
0
0
06 Feb 2017
Opinion Recommendation using Neural Memory Model
Opinion Recommendation using Neural Memory Model
Zhongqing Wang
Yue Zhang
VLMHAIMU
82
12
0
06 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
144
507
0
03 Feb 2017
A Fast and Compact Saliency Score Regression Network Based on Fully
  Convolutional Network
A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network
Xuanyang Xi
Yongkang Luo
Fengfu Li
Peng Wang
Hong Qiao
71
6
0
02 Feb 2017
Deep Learning the Indus Script
Deep Learning the Indus Script
S. Palaniappan
Ronojoy Adhikari
AI4CE
39
11
0
02 Feb 2017
Predicting Auction Price of Vehicle License Plate with Deep Recurrent
  Neural Network
Predicting Auction Price of Vehicle License Plate with Deep Recurrent Neural Network
Vinci Chow
141
21
0
30 Jan 2017
Supervised Deep Sparse Coding Networks
Supervised Deep Sparse Coding Networks
Xiaoxia Sun
Nasser M. Nasrabadi
T. Tran
BDL
94
15
0
29 Jan 2017
Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted
  Representations
Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations
Ilke Çugu
Eren Sener
Çagri Erciyes
Burak Balci
Emre Akin
Itir Önal
A. Akyüz
38
15
0
28 Jan 2017
Unlabeled Samples Generated by GAN Improve the Person Re-identification
  Baseline in vitro
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Zhedong Zheng
Liang Zheng
Yi Yang
GAN
108
1,889
0
26 Jan 2017
Deep Network Guided Proof Search
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
84
159
0
24 Jan 2017
A Multichannel Convolutional Neural Network For Cross-language Dialog
  State Tracking
A Multichannel Convolutional Neural Network For Cross-language Dialog State Tracking
Hongjie Shi
Takashi Ushio
M. Endo
K. Yamagami
Noriaki Horii
87
33
0
23 Jan 2017
Variational Dropout Sparsifies Deep Neural Networks
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
199
831
0
19 Jan 2017
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good
  Performance on Task-Oriented Dialogue
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue
Mihail Eric
Christopher D. Manning
BDL
141
155
0
15 Jan 2017
Scalable and Incremental Learning of Gaussian Mixture Models
Scalable and Incremental Learning of Gaussian Mixture Models
R. Pinto
P. Engel
60
10
0
14 Jan 2017
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