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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
Autoencoder Regularized Network For Driving Style Representation
  Learning
Autoencoder Regularized Network For Driving Style Representation Learning
Weishan Dong
Ting Yuan
Kai Yang
Changsheng Li
Shilei Zhang
46
59
0
05 Jan 2017
AENet: Learning Deep Audio Features for Video Analysis
AENet: Learning Deep Audio Features for Video Analysis
Naoya Takahashi
Michael Gygli
Luc Van Gool
81
150
0
03 Jan 2017
Validation, comparison, and combination of algorithms for automatic
  detection of pulmonary nodules in computed tomography images: the LUNA16
  challenge
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
A. Setio
A. Traverso
Thomas de Bel
Moira S. N. Berens
C. V. D. Bogaard
...
Jef Vandemeulebroucke
N. Walasek
G. Zuidhof
Bram van Ginneken
Colin Jacobs
142
1,092
0
23 Dec 2016
Span-Based Constituency Parsing with a Structure-Label System and
  Provably Optimal Dynamic Oracles
Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
James Cross
Liang Huang
91
121
0
20 Dec 2016
Neuromorphic Deep Learning Machines
Neuromorphic Deep Learning Machines
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
BDL
220
260
0
16 Dec 2016
Improving Neural Network Generalization by Combining Parallel Circuits
  with Dropout
Improving Neural Network Generalization by Combining Parallel Circuits with Dropout
Kien Tuong Phan
Tomas Henrique Maul
T. Vu
W. Lai
AI4CEODL
47
6
0
15 Dec 2016
Learning in the Machine: Random Backpropagation and the Deep Learning
  Channel
Learning in the Machine: Random Backpropagation and the Deep Learning Channel
Pierre Baldi
Peter Sadowski
Zhiqin Lu
AAML
82
16
0
08 Dec 2016
Entity Identification as Multitasking
Entity Identification as Multitasking
K. Stratos
50
4
0
08 Dec 2016
Query-adaptive Image Retrieval by Deep Weighted Hashing
Query-adaptive Image Retrieval by Deep Weighted Hashing
Jian Zhang
Yuxin Peng
64
53
0
08 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
87
1,460
0
07 Dec 2016
Whiteout: Gaussian Adaptive Noise Regularization in Deep Neural Networks
Whiteout: Gaussian Adaptive Noise Regularization in Deep Neural Networks
Yinan Li
Fang Liu
53
21
0
05 Dec 2016
An Overview on Data Representation Learning: From Traditional Feature
  Learning to Recent Deep Learning
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning
G. Zhong
Lina Wang
Junyu Dong
AI4TS
83
183
0
25 Nov 2016
Scalable Bayesian Learning of Recurrent Neural Networks for Language
  Modeling
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
Zhe Gan
Chunyuan Li
Changyou Chen
Yunchen Pu
Qinliang Su
Lawrence Carin
BDLUQCV
139
41
0
23 Nov 2016
Text Classification Improved by Integrating Bidirectional LSTM with
  Two-dimensional Max Pooling
Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling
P. Zhou
Zhenyu Qi
Suncong Zheng
Jiaming Xu
Hongyun Bao
Bo Xu
AI4TS
77
498
0
21 Nov 2016
Object Recognition with and without Objects
Object Recognition with and without Objects
Zhuotun Zhu
Lingxi Xie
Alan Yuille
OCLObjD
146
81
0
20 Nov 2016
Compacting Neural Network Classifiers via Dropout Training
Compacting Neural Network Classifiers via Dropout Training
Yotaro Kubo
George Tucker
Simon Wiesler
70
10
0
18 Nov 2016
Word and Document Embeddings based on Neural Network Approaches
Word and Document Embeddings based on Neural Network Approaches
Siwei Lai
35
9
0
18 Nov 2016
CIFAR-10: KNN-based Ensemble of Classifiers
CIFAR-10: KNN-based Ensemble of Classifiers
Yehya Abouelnaga
Ola S. Ali
Hager Rady
Mohamed Moustafa
FedML
52
66
0
15 Nov 2016
Deep Recurrent Neural Network for Mobile Human Activity Recognition with
  High Throughput
Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput
Masaya Inoue
Sozo Inoue
T. Nishida
HAIBDL
51
251
0
11 Nov 2016
Dependency Sensitive Convolutional Neural Networks for Modeling
  Sentences and Documents
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents
Rui Zhang
Honglak Lee
Dragomir R. Radev
85
124
0
08 Nov 2016
Neural Machine Translation with Reconstruction
Neural Machine Translation with Reconstruction
Zhaopeng Tu
Yang Liu
Lifeng Shang
Xiaohua Liu
Hang Li
109
205
0
07 Nov 2016
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
Caiming Xiong
Yoshimasa Tsuruoka
R. Socher
KELM
149
575
0
05 Nov 2016
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All
  Networks
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks
Eder Santana
Matthew S. Emigh
Pablo Zegers
José C. Príncipe
BDL
109
15
0
31 Oct 2016
Missing Data Imputation for Supervised Learning
Missing Data Imputation for Supervised Learning
Jason Poulos
Rafael Valle
72
63
0
28 Oct 2016
Sequence Segmentation Using Joint RNN and Structured Prediction Models
Sequence Segmentation Using Joint RNN and Structured Prediction Models
Yossi Adi
Joseph Keshet
E. Cibelli
Matthew A. Goldrick
60
21
0
25 Oct 2016
Maxmin convolutional neural networks for image classification
Maxmin convolutional neural networks for image classification
Michael Blot
Matthieu Cord
Nicolas Thome
44
45
0
25 Oct 2016
Deep image mining for diabetic retinopathy screening
Deep image mining for diabetic retinopathy screening
G. Quellec
K. Charrière
Yassine Boudi
B. Cochener
M. Lamard
MedIm
206
417
0
22 Oct 2016
Deep Models for Engagement Assessment With Scarce Label Information
Deep Models for Engagement Assessment With Scarce Label Information
Feng Li
Guangfan Zhang
Wei Wang
R. Xu
Tom Schnell
Jonathan Wen
F. McKenzie
Jiang Li
79
25
0
21 Oct 2016
Making brain-machine interfaces robust to future neural variability
Making brain-machine interfaces robust to future neural variability
David Sussillo
S. Stavisky
J. Kao
S. Ryu
K. Shenoy
44
184
0
19 Oct 2016
Small-footprint Highway Deep Neural Networks for Speech Recognition
Small-footprint Highway Deep Neural Networks for Speech Recognition
Liang Lu
Steve Renals
157
16
0
18 Oct 2016
Interactive Attention for Neural Machine Translation
Interactive Attention for Neural Machine Translation
Fandong Meng
Zhengdong Lu
Hang Li
Qun Liu
73
76
0
17 Oct 2016
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Hao Dong
A. Supratak
W. Pan
Chao Wu
Paul M. Matthews
Yike Guo
110
245
0
15 Oct 2016
Exploiting Sentence and Context Representations in Deep Neural Models
  for Spoken Language Understanding
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding
L. Rojas-Barahona
Milica Gasic
N. Mrksic
Pei-hao Su
Stefan Ultes
Tsung-Hsien Wen
S. Young
78
27
0
13 Oct 2016
Learning Low Dimensional Convolutional Neural Networks for
  High-Resolution Remote Sensing Image Retrieval
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval
Weixun Zhou
Shawn D. Newsam
Congmin Li
Z. Shao
205
183
0
10 Oct 2016
Indoor Space Recognition using Deep Convolutional Neural Network: A Case
  Study at MIT Campus
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus
Fan Zhang
Fábio Duarte
Ruixian Ma
Dimitrios Milioris
Hui-Ching Lin
C. Ratti
3DV
68
22
0
07 Oct 2016
Multiple Regularizations Deep Learning for Paddy Growth Stages
  Classification from LANDSAT-8
Multiple Regularizations Deep Learning for Paddy Growth Stages Classification from LANDSAT-8
Ines Heidieni Ikasari
Vina Ayumi
M. I. Fanany
S. Mulyono
44
25
0
06 Oct 2016
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale
  Systems
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems
Charles Siegel
J. Daily
Abhinav Vishnu
AI4CE
69
10
0
03 Oct 2016
Charged Point Normalization: An Efficient Solution to the Saddle Point
  Problem
Charged Point Normalization: An Efficient Solution to the Saddle Point Problem
Armen Aghajanyan
ODL
13
0
0
29 Sep 2016
Deep Reinforcement Learning for Mention-Ranking Coreference Models
Deep Reinforcement Learning for Mention-Ranking Coreference Models
Kevin Clark
Christopher D. Manning
ALMNoLa
117
372
0
27 Sep 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
182
1,637
0
27 Sep 2016
Variational Inference with Hamiltonian Monte Carlo
Variational Inference with Hamiltonian Monte Carlo
Christopher Wolf
Maximilian Karl
Patrick van der Smagt
BDL
66
36
0
26 Sep 2016
Dropout with Expectation-linear Regularization
Dropout with Expectation-linear Regularization
Xuezhe Ma
Yingkai Gao
Zhiting Hu
Yaoliang Yu
Yuntian Deng
Eduard H. Hovy
UQCV
70
50
0
26 Sep 2016
Character-Level Language Modeling with Hierarchical Recurrent Neural
  Networks
Character-Level Language Modeling with Hierarchical Recurrent Neural Networks
Kyuyeon Hwang
Wonyong Sung
58
66
0
13 Sep 2016
Sequential Deep Trajectory Descriptor for Action Recognition with
  Three-stream CNN
Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN
Yemin Shi
Yonghong Tian
Yaowei Wang
Tiejun Huang
96
192
0
10 Sep 2016
Approaching the Computational Color Constancy as a Classification
  Problem through Deep Learning
Approaching the Computational Color Constancy as a Classification Problem through Deep Learning
Seoung Wug Oh
Seon Joo Kim
3DV
58
101
0
29 Aug 2016
LFADS - Latent Factor Analysis via Dynamical Systems
LFADS - Latent Factor Analysis via Dynamical Systems
David Sussillo
Rafal Jozefowicz
L. F. Abbott
C. Pandarinath
AI4CE
74
91
0
22 Aug 2016
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
104
120
0
22 Aug 2016
Star-galaxy Classification Using Deep Convolutional Neural Networks
Star-galaxy Classification Using Deep Convolutional Neural Networks
Edward J. Kim
R. Brunner
67
162
0
15 Aug 2016
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction
  Tasks
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks
Yossi Adi
Einat Kermany
Yonatan Belinkov
Ofer Lavi
Yoav Goldberg
107
546
0
15 Aug 2016
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI
  Cardiac Segmentation
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation
Rudra P. K. Poudel
P. Lamata
Giovanni Montana
MedIm
72
248
0
13 Aug 2016
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