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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
Genetic Algorithms for Evolving Deep Neural Networks
Genetic Algorithms for Evolving Deep Neural Networks
E. David
Iddo Greental
76
125
0
21 Nov 2017
DeepSign: Deep Learning for Automatic Malware Signature Generation and
  Classification
DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification
Omid David
N. Netanyahu
42
206
0
21 Nov 2017
Dropping Activation Outputs with Localized First-layer Deep Network for
  Enhancing User Privacy and Data Security
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security
Hao Dong
Chao Wu
Zhen Wei
Yike Guo
66
30
0
20 Nov 2017
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
Kensuke Nakamura
Stefano Soatto
Byung-Woo Hong
BDLODL
70
6
0
20 Nov 2017
Pseudo-positive regularization for deep person re-identification
Pseudo-positive regularization for deep person re-identification
Fuqing Zhu
Xiangwei Kong
Haiyan Fu
Q. Tian
75
9
0
17 Nov 2017
LDMNet: Low Dimensional Manifold Regularized Neural Networks
LDMNet: Low Dimensional Manifold Regularized Neural Networks
Wei Zhu
Qiang Qiu
Jiaji Huang
A. Calderbank
Guillermo Sapiro
Ingrid Daubechies
68
40
0
16 Nov 2017
Less-forgetful Learning for Domain Expansion in Deep Neural Networks
Less-forgetful Learning for Domain Expansion in Deep Neural Networks
Heechul Jung
Jeongwoo Ju
Minju Jung
Junmo Kim
CLLOOD
81
71
0
16 Nov 2017
Attention Focusing for Neural Machine Translation by Bridging Source and
  Target Embeddings
Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings
Shaohui Kuang
Junhui Li
António Branco
Weihua Luo
Deyi Xiong
31
0
0
15 Nov 2017
Can CNN Construct Highly Accurate Models Efficiently for
  High-Dimensional Problems in Complex Product Designs?
Can CNN Construct Highly Accurate Models Efficiently for High-Dimensional Problems in Complex Product Designs?
Yu Li
Hu Wang
Juanjuan Liu
28
1
0
15 Nov 2017
Multilingual Adaptation of RNN Based ASR Systems
Multilingual Adaptation of RNN Based ASR Systems
Markus Müller
Sebastian Stüker
A. Waibel
54
17
0
13 Nov 2017
An Automatic Diagnosis Method of Facial Acne Vulgaris Based on
  Convolutional Neural Network
An Automatic Diagnosis Method of Facial Acne Vulgaris Based on Convolutional Neural Network
Xiaolei Shen
Jiachi Zhang
Chenjun Yan
Hong Zhou
CVBM
52
81
0
13 Nov 2017
Fast Reading Comprehension with ConvNets
Fast Reading Comprehension with ConvNets
Felix Wu
Ni Lao
John Blitzer
Guandao Yang
Kilian Q. Weinberger
AIMat
42
16
0
12 Nov 2017
Data Augmentation Generative Adversarial Networks
Data Augmentation Generative Adversarial Networks
Antreas Antoniou
Amos Storkey
Harrison Edwards
MedImGAN
187
1,076
0
12 Nov 2017
Syntax-Directed Attention for Neural Machine Translation
Syntax-Directed Attention for Neural Machine Translation
Kehai Chen
Rui Wang
Masao Utiyama
Eiichiro Sumita
Tiejun Zhao
99
91
0
12 Nov 2017
Saliency Prediction for Mobile User Interfaces
Saliency Prediction for Mobile User Interfaces
Prakhar Gupta
Shubh Gupta
Ajaykrishnan Jayagopal
Sourav Pal
R. Sinha
FAtt
75
17
0
10 Nov 2017
Analysis of Dropout in Online Learning
Analysis of Dropout in Online Learning
K. Hara
33
0
0
09 Nov 2017
Estimating Cosmological Parameters from the Dark Matter Distribution
Estimating Cosmological Parameters from the Dark Matter Distribution
Siamak Ravanbakhsh
Junier Oliva
S. Fromenteau
Layne Price
S. Ho
J. Schneider
Barnabás Póczós
80
76
0
06 Nov 2017
Strategies for Conceptual Change in Convolutional Neural Networks
Strategies for Conceptual Change in Convolutional Neural Networks
M. Grachten
Carlos Eduardo Cancino-Chacón
55
10
0
05 Nov 2017
ReBNet: Residual Binarized Neural Network
ReBNet: Residual Binarized Neural Network
M. Ghasemzadeh
Mohammad Samragh
F. Koushanfar
MQ
45
4
0
03 Nov 2017
Multi-Mention Learning for Reading Comprehension with Neural Cascades
Multi-Mention Learning for Reading Comprehension with Neural Cascades
Swabha Swayamdipta
Ankur P. Parikh
Tom Kwiatkowski
RALM
98
32
0
02 Nov 2017
Estimating Historical Hourly Traffic Volumes via Machine Learning and
  Vehicle Probe Data: A Maryland Case Study
Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study
Przemysław Sekuła
Nikola Marković
Zachary Vander Laan
K. Sadabadi
40
65
0
02 Nov 2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo
Jun Zhu
Mengxi Li
Yong Ren
Bo Zhang
98
242
0
01 Nov 2017
Clothing Retrieval with Visual Attention Model
Clothing Retrieval with Visual Attention Model
Zhonghao Wang
Yujun Gu
Ya Zhang
Jun Zhou
Xiao Gu
3DH
69
51
0
31 Oct 2017
Common Representation Learning Using Step-based Correlation Multi-Modal
  CNN
Common Representation Learning Using Step-based Correlation Multi-Modal CNN
Gaurav Bhatt
Piyush Jha
Balasubramanian Raman
SSL
38
4
0
31 Oct 2017
CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble
  Behavior
CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior
Xiang Zhang
Nishant Vishwamitra
Hongxin Hu
Feng Luo
35
2
0
30 Oct 2017
Regularization for Deep Learning: A Taxonomy
Regularization for Deep Learning: A Taxonomy
J. Kukačka
Vladimir Golkov
Zorah Lähner
96
336
0
29 Oct 2017
Knowledge Projection for Deep Neural Networks
Knowledge Projection for Deep Neural Networks
Zhi Zhang
G. Ning
Zhihai He
57
15
0
26 Oct 2017
Image Disguise based on Generative Model
Image Disguise based on Generative Model
X. Duan
Haoxian Song
E. Zhang
Jingjing Liu
DiffM
37
1
0
21 Oct 2017
Function Norms and Regularization in Deep Networks
Function Norms and Regularization in Deep Networks
Amal Rannen Triki
Maxim Berman
Matthew B. Blaschko
78
2
0
18 Oct 2017
Towards a Seamless Integration of Word Senses into Downstream NLP
  Applications
Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Mohammad Taher Pilehvar
Jose Camacho-Collados
Roberto Navigli
Nigel Collier
69
46
0
18 Oct 2017
Learning Phrase Embeddings from Paraphrases with GRUs
Learning Phrase Embeddings from Paraphrases with GRUs
Zhihao Zhou
Lifu Huang
Heng Ji
NAI
48
9
0
13 Oct 2017
Dropout as a Low-Rank Regularizer for Matrix Factorization
Dropout as a Low-Rank Regularizer for Matrix Factorization
Jacopo Cavazza
Pietro Morerio
B. Haeffele
Connor Lane
Vittorio Murino
René Vidal
129
42
0
13 Oct 2017
Using Context Events in Neural Network Models for Event Temporal Status
  Identification
Using Context Events in Neural Network Models for Event Temporal Status Identification
Zeyu Dai
Wenlin Yao
Ruihong Huang
52
3
0
12 Oct 2017
An Analysis of Dropout for Matrix Factorization
An Analysis of Dropout for Matrix Factorization
Jacopo Cavazza
Connor Lane
B. Haeffele
Vittorio Murino
René Vidal
22
2
0
10 Oct 2017
Learning event representation: As sparse as possible, but not sparser
Learning event representation: As sparse as possible, but not sparser
Tuan Do
James Pustejovsky
50
7
0
02 Oct 2017
Pyramidal RoR for Image Classification
Pyramidal RoR for Image Classification
Ke Zhang
Liru Guo
Ce Gao
Zhenbing Zhao
63
20
0
01 Oct 2017
Improved Training for Self-Training by Confidence Assessments
Improved Training for Self-Training by Confidence Assessments
Gal Hyams
D. Greenfeld
Dor Bank
59
1
0
30 Sep 2017
Deep learning for source camera identification on mobile devices
Deep learning for source camera identification on mobile devices
David Freire-Obregón
F. Narducci
Silvio Barra
Modesto Castrillón-Santana
53
108
0
30 Sep 2017
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing
  Framework for Embedded Learning
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
Georgios Detorakis
Sadique Sheik
C. Augustine
Somnath Paul
Bruno U. Pedroni
N. Dutt
J. Krichmar
Gert Cauwenberghs
Emre Neftci
87
29
0
29 Sep 2017
Jointly Trained Sequential Labeling and Classification by Sparse
  Attention Neural Networks
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
Mingbo Ma
Kai Zhao
Liang Huang
Bing Xiang
Bowen Zhou
VLM
65
15
0
28 Sep 2017
B-CNN: Branch Convolutional Neural Network for Hierarchical
  Classification
B-CNN: Branch Convolutional Neural Network for Hierarchical Classification
Xinqi Zhu
Michael Bain
185
153
0
28 Sep 2017
Are we done with object recognition? The iCub robot's perspective
Are we done with object recognition? The iCub robot's perspective
Giulia Pasquale
C. Ciliberto
Francesca Odone
Lorenzo Rosasco
Lorenzo Natale
94
42
0
28 Sep 2017
Neural networks for topology optimization
Neural networks for topology optimization
Ivan Sosnovik
Ivan Oseledets
79
258
0
27 Sep 2017
Reducing Complexity of HEVC: A Deep Learning Approach
Reducing Complexity of HEVC: A Deep Learning Approach
Mai Xu
Tianyi Li
Zulin Wang
Xin Deng
Ren Yang
Zhenyu Guan
91
277
0
19 Sep 2017
Detection of Anomalies in Large Scale Accounting Data using Deep
  Autoencoder Networks
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks
Marco Schreyer
Timur Sattarov
Damian Borth
Andreas Dengel
Bernd Reimer
74
106
0
15 Sep 2017
Cross-Media Similarity Evaluation for Web Image Retrieval in the Wild
Cross-Media Similarity Evaluation for Web Image Retrieval in the Wild
Jianfeng Dong
Xirong Li
Duanqing Xu
45
21
0
05 Sep 2017
Fast Landmark Localization with 3D Component Reconstruction and CNN for
  Cross-Pose Recognition
Fast Landmark Localization with 3D Component Reconstruction and CNN for Cross-Pose Recognition
G. Hsu
H. Shie
Jui-Shan Chan
Cheng-Hua Hsieh
CVBM
58
20
0
31 Aug 2017
A Simple LSTM model for Transition-based Dependency Parsing
A Simple LSTM model for Transition-based Dependency Parsing
Mohab Elkaref
Bernd Bohnet
73
9
0
29 Aug 2017
Machine Learning Approach for Detection of nonTor Traffic
Machine Learning Approach for Detection of nonTor Traffic
Gregory D. Hill
X. Bellekens
Ephraim Iorkyase
Andrew W. Hamilton
Christos Tachtatzis
Robert C. Atkinson
50
11
0
29 Aug 2017
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM
Mohamed I. Eldesouki
Younes Samih
Ahmed Abdelali
Mohammed Attia
Hamdy Mubarak
Kareem Darwish
Laura Kallmeyer
24
15
0
19 Aug 2017
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