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Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
v1v2v3 (latest)

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

11 February 2015
Sergey Ioffe
Christian Szegedy
    OOD
ArXiv (abs)PDFHTML

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

50 / 11,294 papers shown
Title
Single Day Outdoor Photometric Stereo
Single Day Outdoor Photometric Stereo
Yannick Hold-Geoffroy
Paulo F. U. Gotardo
Jean-François Lalonde
65
15
0
28 Mar 2018
Learning Deep Representations with Probabilistic Knowledge Transfer
Learning Deep Representations with Probabilistic Knowledge Transfer
Nikolaos Passalis
Anastasios Tefas
86
416
0
28 Mar 2018
Artificial Intelligence and Robotics
Artificial Intelligence and Robotics
Javier Andreu-Perez
Fani Deligianni
D. Ravì
Guang-Zhong Yang
66
195
0
28 Mar 2018
Unsupervised Predictive Memory in a Goal-Directed Agent
Unsupervised Predictive Memory in a Goal-Directed Agent
Greg Wayne
Chia-Chun Hung
David Amos
M. Berk Mirza
Arun Ahuja
...
David Silver
Koray Kavukcuoglu
M. Botvinick
Demis Hassabis
Timothy Lillicrap
101
192
0
28 Mar 2018
Normalization of Neural Networks using Analytic Variance Propagation
Normalization of Neural Networks using Analytic Variance Propagation
Alexander Shekhovtsov
B. Flach
49
6
0
28 Mar 2018
Learning Synergies between Pushing and Grasping with Self-supervised
  Deep Reinforcement Learning
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning
Andy Zeng
Shuran Song
Stefan Welker
Johnny Lee
Alberto Rodriguez
Thomas Funkhouser
SSL
139
572
0
27 Mar 2018
Dual Attention Matching Network for Context-Aware Feature Sequence based
  Person Re-Identification
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification
Jianlou Si
Honggang Zhang
Chun-Guang Li
Jason Kuen
Xiangfei Kong
Alex C. Kot
G. Wang
72
466
0
27 Mar 2018
CompNet: Complementary Segmentation Network for Brain MRI Extraction
CompNet: Complementary Segmentation Network for Brain MRI Extraction
Raunak Dey
Yi Hong
88
49
0
27 Mar 2018
Light Gated Recurrent Units for Speech Recognition
Light Gated Recurrent Units for Speech Recognition
Mirco Ravanelli
Philemon Brakel
M. Omologo
Yoshua Bengio
60
321
0
26 Mar 2018
HAMLET: Interpretable Human And Machine co-LEarning Technique
HAMLET: Interpretable Human And Machine co-LEarning Technique
Olivier Deiss
Siddharth Biswal
Jing Jin
Haoqi Sun
M. P. M. Brandon Westover
Jimeng Sun
63
11
0
26 Mar 2018
Efficient Interactive Annotation of Segmentation Datasets with
  Polygon-RNN++
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
David Acuna
Huan Ling
Amlan Kar
Sanja Fidler
136
404
0
26 Mar 2018
Calibrated Prediction Intervals for Neural Network Regressors
Calibrated Prediction Intervals for Neural Network Regressors
Gil Keren
N. Cummins
Björn Schuller
UQCV
87
31
0
26 Mar 2018
Latency and Throughput Characterization of Convolutional Neural Networks
  for Mobile Computer Vision
Latency and Throughput Characterization of Convolutional Neural Networks for Mobile Computer Vision
Jussi Hanhirova
Teemu Kämäräinen
S. Seppälä
M. Siekkinen
V. Hirvisalo
Antti Ylä-Jääski
51
90
0
26 Mar 2018
A Systematic Comparison of Deep Learning Architectures in an Autonomous
  Vehicle
A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle
Michael Teti
William Edward Hahn
Shawn Martin
W. Hahn
Elan Barenholtz
45
5
0
26 Mar 2018
Online Second Order Methods for Non-Convex Stochastic Optimizations
Online Second Order Methods for Non-Convex Stochastic Optimizations
Xi-Lin Li
OffRLODL
41
4
0
26 Mar 2018
SUNLayer: Stable denoising with generative networks
SUNLayer: Stable denoising with generative networks
D. Mixon
Soledad Villar
68
21
0
25 Mar 2018
Learning Environmental Sounds with Multi-scale Convolutional Neural
  Network
Learning Environmental Sounds with Multi-scale Convolutional Neural Network
Boqing Zhu
Changjian Wang
Feng Liu
Jin Lei
Zengquan Lu
Yuxing Peng
71
64
0
25 Mar 2018
Low-Resource Speech-to-Text Translation
Low-Resource Speech-to-Text Translation
Sameer Bansal
Herman Kamper
Karen Livescu
Adam Lopez
Sharon Goldwater
79
56
0
24 Mar 2018
Merging and Evolution: Improving Convolutional Neural Networks for
  Mobile Applications
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Zheng Qin
Zhaoning Zhang
Shiqing Zhang
Hao Yu
Yuxing Peng
18
7
0
24 Mar 2018
Comparing Generative Adversarial Network Techniques for Image Creation
  and Modification
Comparing Generative Adversarial Network Techniques for Image Creation and Modification
Mathijs Pieters
M. Wiering
GAN
48
11
0
24 Mar 2018
MTGAN: Speaker Verification through Multitasking Triplet Generative
  Adversarial Networks
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks
Wenhao Ding
Liang He
72
20
0
24 Mar 2018
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with
  Tacotron
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
RJ Skerry-Ryan
Eric Battenberg
Y. Xiao
Yuxuan Wang
Daisy Stanton
Joel Shor
Ron J. Weiss
R. Clark
Rif A. Saurous
56
555
0
24 Mar 2018
Context Encoding for Semantic Segmentation
Context Encoding for Semantic Segmentation
Hang Zhang
Kristin J. Dana
Jianping Shi
Zhongyue Zhang
Xiaogang Wang
A. Tyagi
Amit Agrawal
SSeg
104
1,254
0
23 Mar 2018
SqueezeNext: Hardware-Aware Neural Network Design
SqueezeNext: Hardware-Aware Neural Network Design
A. Gholami
K. Kwon
Bichen Wu
Zizheng Tai
Xiangyu Yue
Peter H. Jin
Sicheng Zhao
Kurt Keutzer
69
300
0
23 Mar 2018
What Do We Understand About Convolutional Networks?
What Do We Understand About Convolutional Networks?
Isma Hadji
Richard P. Wildes
FAtt
68
99
0
23 Mar 2018
A high-bias, low-variance introduction to Machine Learning for
  physicists
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta
Marin Bukov
Ching-Hao Wang
A. G. Day
C. Richardson
Charles K. Fisher
D. Schwab
AI4CE
135
885
0
23 Mar 2018
Deep learning and its application to medical image segmentation
Deep learning and its application to medical image segmentation
H. Roth
Chen Shen
H. Oda
M. Oda
Y. Hayashi
K. Misawa
K. Mori
MedImSSeg
93
117
0
23 Mar 2018
Lifting Layers: Analysis and Applications
Lifting Layers: Analysis and Applications
Peter Ochs
Tim Meinhardt
Laura Leal-Taixe
Michael Möller
49
7
0
23 Mar 2018
Generalization Challenges for Neural Architectures in Audio Source
  Separation
Generalization Challenges for Neural Architectures in Audio Source Separation
Shariq Mobin
Brian Cheung
Bruno A. Olshausen
DRL
46
2
0
23 Mar 2018
A Quantization-Friendly Separable Convolution for MobileNets
A Quantization-Friendly Separable Convolution for MobileNets
Tao Sheng
Chen Feng
Shaojie Zhuo
Xiaopeng Zhang
Liang Shen
M. Aleksic
MQ
81
115
0
22 Mar 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
261
3,686
0
22 Mar 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
141
1,242
0
22 Mar 2018
A Comprehensive Analysis of Deep Regression
A Comprehensive Analysis of Deep Regression
Stéphane Lathuilière
Pablo Mesejo
Xavier Alameda-Pineda
Radu Horaud
BDL
90
298
0
22 Mar 2018
Densely Connected Pyramid Dehazing Network
Densely Connected Pyramid Dehazing Network
He Zhang
Vishal M. Patel
87
923
0
22 Mar 2018
What do Deep Networks Like to See?
What do Deep Networks Like to See?
Sebastián M. Palacio
Joachim Folz
Jörn Hees
Federico Raue
Damian Borth
Andreas Dengel
SSL
51
30
0
22 Mar 2018
Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint
  Locations
Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
Yasunori Kudo
Keisuke Ogaki
Yusuke Matsui
Yuri Odagiri
3DHGAN
80
48
0
22 Mar 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a
  Bottom-Up, Part-Based, Geometric Embedding Model
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
George Papandreou
Tyler Lixuan Zhu
Liang-Chieh Chen
Spyros Gidaris
Jonathan Tompson
Kevin Patrick Murphy
101
550
0
22 Mar 2018
Positive-unlabeled convolutional neural networks for particle picking in
  cryo-electron micrographs
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs
Tristan Bepler
Andrew Morin
J. Brasch
L. Shapiro
A. Noble
Bonnie Berger
65
821
0
22 Mar 2018
Residual Networks: Lyapunov Stability and Convex Decomposition
Residual Networks: Lyapunov Stability and Convex Decomposition
Kamil Nar
S. Shankar Sastry
ODL
26
3
0
22 Mar 2018
A Unified Framework for Multi-View Multi-Class Object Pose Estimation
A Unified Framework for Multi-View Multi-Class Object Pose Estimation
Chi Li
Jin Bai
Gregory Hager
89
163
0
21 Mar 2018
Quantification of Lung Abnormalities in Cystic Fibrosis using Deep
  Networks
Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks
Filipe Marques
Florian Dubost
M. K. D. Corput
H. Tiddens
Marleen de Bruijne
MedIm
54
7
0
21 Mar 2018
Information Theoretic Interpretation of Deep learning
Information Theoretic Interpretation of Deep learning
Tianchen Zhao
FAtt
84
2
0
21 Mar 2018
End-to-End Fingerprints Liveness Detection using Convolutional Networks
  with Gram module
End-to-End Fingerprints Liveness Detection using Convolutional Networks with Gram module
Eunsoo Park
X. Cui
Weonjin Kim
Hakil Kim
39
17
0
21 Mar 2018
Patch-based Fake Fingerprint Detection Using a Fully Convolutional
  Neural Network with a Small Number of Parameters and an Optimal Threshold
Patch-based Fake Fingerprint Detection Using a Fully Convolutional Neural Network with a Small Number of Parameters and an Optimal Threshold
Eunsoo Park
X. Cui
Weonjin Kim
Jinsong Liu
Hakil Kim
51
8
0
21 Mar 2018
Domain Adaptation for Ear Recognition Using Deep Convolutional Neural
  Networks
Domain Adaptation for Ear Recognition Using Deep Convolutional Neural Networks
Fevziye Irem Eyiokur
Dogucan Yaman
H. K. Ekenel
61
70
0
21 Mar 2018
Learning and Recognizing Human Action from Skeleton Movement with Deep
  Residual Neural Networks
Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks
H. Pham
L. Khoudour
Alain Crouzil
Pablo Zegers
S. Velastín
3DH
46
17
0
21 Mar 2018
Assessing Shape Bias Property of Convolutional Neural Networks
Assessing Shape Bias Property of Convolutional Neural Networks
Hossein Hosseini
Baicen Xiao
Mayoore S. Jaiswal
Radha Poovendran
68
36
0
21 Mar 2018
MLtuner: System Support for Automatic Machine Learning Tuning
MLtuner: System Support for Automatic Machine Learning Tuning
Henggang Cui
G. Ganger
Phillip B. Gibbons
26
6
0
20 Mar 2018
Patch-Based Image Inpainting with Generative Adversarial Networks
Patch-Based Image Inpainting with Generative Adversarial Networks
Ugur Demir
Gözde B. Ünal
GAN
52
255
0
20 Mar 2018
Segmentation of histological images and fibrosis identification with a
  convolutional neural network
Segmentation of histological images and fibrosis identification with a convolutional neural network
Xiaohang Fu
Tong Liu
Zhaohan Xiong
B. Smaill
M. Stiles
Jichao Zhao
65
41
0
20 Mar 2018
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