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  4. Cited By
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

11 February 2015
Sergey Ioffe
Christian Szegedy
    OOD
ArXivPDFHTML

Papers citing "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift"

50 / 7,653 papers shown
Title
Gated Siamese Convolutional Neural Network Architecture for Human
  Re-Identification
Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification
Rahul Rama Varior
Mrinal Haloi
G. Wang
26
795
0
28 Jul 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan
Yaniv Romano
Michael Elad
59
284
0
27 Jul 2016
End-to-End Image Super-Resolution via Deep and Shallow Convolutional
  Networks
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
Yifan Wang
Lijun Wang
Hongyu Wang
P. Li
SupR
OOD
32
140
0
26 Jul 2016
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
Yaroslav Ganin
Daniil Kononenko
Diana Sungatullina
Victor Lempitsky
CVBM
30
122
0
25 Jul 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
61
10,327
0
21 Jul 2016
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face
  Recognition
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition
Changxing Ding
Dacheng Tao
CVBM
50
387
0
19 Jul 2016
Learning to Decode Linear Codes Using Deep Learning
Learning to Decode Linear Codes Using Deep Learning
Eliya Nachmani
Yair Be’ery
D. Burshtein
95
456
0
16 Jul 2016
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
Song Han
Jeff Pool
Sharan Narang
Huizi Mao
Enhao Gong
...
Peter Vajda
Manohar Paluri
J. Tran
Bryan Catanzaro
W. Dally
CVBM
27
83
0
15 Jul 2016
Application of Convolutional Neural Network for Image Classification on
  Pascal VOC Challenge 2012 dataset
Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset
Suyash Shetty
166
33
0
13 Jul 2016
Re-presenting a Story by Emotional Factors using Sentimental Analysis
  Method
Re-presenting a Story by Emotional Factors using Sentimental Analysis Method
Hwiyeol Jo
Yohan Moon
Jong In Kim
Jeong Ryu
13
0
0
13 Jul 2016
Classifying Variable-Length Audio Files with All-Convolutional Networks
  and Masked Global Pooling
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling
L. Hertel
Huy P Phan
Alfred Mertins
24
19
0
11 Jul 2016
Acoustic scene classification using convolutional neural network and
  multiple-width frequency-delta data augmentation
Acoustic scene classification using convolutional neural network and multiple-width frequency-delta data augmentation
Yoonchang Han
Kyogu Lee
43
48
0
08 Jul 2016
Watch This: Scalable Cost-Function Learning for Path Planning in Urban
  Environments
Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments
Markus Wulfmeier
Dominic Zeng Wang
Ingmar Posner
22
114
0
08 Jul 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes
X. Gonzalvo
Vitaly Kuznetsov
M. Mohri
Scott Yang
29
283
0
05 Jul 2016
Actor-critic versus direct policy search: a comparison based on sample
  complexity
Actor-critic versus direct policy search: a comparison based on sample complexity
Arnaud de Froissard de Broissia
Olivier Sigaud
26
12
0
29 Jun 2016
Improved Recurrent Neural Networks for Session-based Recommendations
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan
Xinxing Xu
Yong-Jin Liu
26
732
0
27 Jun 2016
Detection of concealed cars in complex cargo X-ray imagery using Deep
  Learning
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning
Nicolas Jaccard
T. W. Rogers
E. Morton
Lewis D. Griffin
24
66
0
26 Jun 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
15
512
0
25 Jun 2016
Hybrid Recommender System based on Autoencoders
Hybrid Recommender System based on Autoencoders
Florian Strub
Romaric Gaudel
Jérémie Mary
38
219
0
24 Jun 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming Liu
Oncel Tuzel
OOD
GAN
40
1,622
0
24 Jun 2016
Tagger: Deep Unsupervised Perceptual Grouping
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff
Antti Rasmus
Mathias Berglund
T. Hao
Jürgen Schmidhuber
Harri Valpola
OCL
32
161
0
21 Jun 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
44
6,447
0
21 Jun 2016
On Multiplicative Integration with Recurrent Neural Networks
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu
Saizheng Zhang
Wenjie Qu
Yoshua Bengio
Ruslan Salakhutdinov
34
154
0
21 Jun 2016
Relative Natural Gradient for Learning Large Complex Models
Relative Natural Gradient for Learning Large Complex Models
Ke Sun
Frank Nielsen
29
5
0
20 Jun 2016
On the Expressive Power of Deep Neural Networks
On the Expressive Power of Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
29
778
0
16 Jun 2016
Learning feed-forward one-shot learners
Learning feed-forward one-shot learners
Luca Bertinetto
João F. Henriques
Jack Valmadre
Philip Torr
Andrea Vedaldi
18
469
0
16 Jun 2016
Optimization Methods for Large-Scale Machine Learning
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
108
3,178
0
15 Jun 2016
Multi-Modal Hybrid Deep Neural Network for Speech Enhancement
Multi-Modal Hybrid Deep Neural Network for Speech Enhancement
Zhenzhou Wu
S. Sivadas
Yong Kiam Tan
Ma Bin
Rick Siow Mong Goh
27
16
0
15 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
106
4,212
0
12 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
158
8,932
0
10 Jun 2016
Convolutional Sketch Inversion
Convolutional Sketch Inversion
Yağmur Güçlütürk
Umut Güçlü
R. Lier
Marcel van Gerven
CVBM
21
65
0
09 Jun 2016
Convolutional Neural Fabrics
Convolutional Neural Fabrics
Shreyas Saxena
Jakob Verbeek
24
225
0
08 Jun 2016
Structured Convolution Matrices for Energy-efficient Deep learning
Structured Convolution Matrices for Energy-efficient Deep learning
R. Appuswamy
T. Nayak
John V. Arthur
S. K. Esser
P. Merolla
J. McKinstry
T. Melano
M. Flickner
D. Modha
38
11
0
08 Jun 2016
Deep Learning Convolutional Networks for Multiphoton Microscopy
  Vasculature Segmentation
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Petteri Teikari
Marc A. Santos
Charissa Poon
K. Hynynen
3DV
24
48
0
08 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,059
0
07 Jun 2016
Deep neural networks are robust to weight binarization and other
  non-linear distortions
Deep neural networks are robust to weight binarization and other non-linear distortions
P. Merolla
R. Appuswamy
John V. Arthur
S. K. Esser
D. Modha
OOD
MQ
25
96
0
07 Jun 2016
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
246
1,902
0
06 Jun 2016
Very Deep Convolutional Networks for Text Classification
Very Deep Convolutional Networks for Text Classification
Alexis Conneau
Holger Schwenk
Loïc Barrault
Yann LeCun
AI4CE
29
320
0
06 Jun 2016
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment
  Classification
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
Xilun Chen
Yu Sun
Ben Athiwaratkun
Claire Cardie
Kilian Q. Weinberger
224
315
0
06 Jun 2016
Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid
  Architecture for Person Re-identification
Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification
Lin Wu
Chunhua Shen
Anton Van Den Hengel
20
209
0
06 Jun 2016
Deep Q-Networks for Accelerating the Training of Deep Neural Networks
Jie Fu
AI4CE
46
11
0
05 Jun 2016
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
119
1,233
0
02 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
20
1,310
0
02 Jun 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks
Deeper Depth Prediction with Fully Convolutional Residual Networks
Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
3DV
MDE
14
1,819
0
01 Jun 2016
Automatic tagging using deep convolutional neural networks
Automatic tagging using deep convolutional neural networks
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
24
328
0
01 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
55
141
0
31 May 2016
Parametric Exponential Linear Unit for Deep Convolutional Neural
  Networks
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Ludovic Trottier
Philippe Giguère
B. Chaib-draa
41
199
0
30 May 2016
Density estimation using Real NVP
Density estimation using Real NVP
Falong Shen
Jascha Sohl-Dickstein
Gang Zeng
DRL
35
44
0
27 May 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhehuai Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
110
18,268
0
27 May 2016
Robust Large Margin Deep Neural Networks
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
26
307
0
26 May 2016
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