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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 / 11,100 papers shown
Title
ImageNet pre-trained models with batch normalization
ImageNet pre-trained models with batch normalization
Marcel Simon
E. Rodner
Joachim Denzler
VLMSSeg
104
166
0
05 Dec 2016
On-Demand Learning for Deep Image Restoration
On-Demand Learning for Deep Image Restoration
Ruohan Gao
Kristen Grauman
103
79
0
05 Dec 2016
Deep Metric Learning via Facility Location
Deep Metric Learning via Facility Location
Hyun Oh Song
Stefanie Jegelka
V. Rathod
Kevin Patrick Murphy
71
23
0
05 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
667
12,071
0
04 Dec 2016
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
153
1,035
0
04 Dec 2016
End-to-end learning of brain tissue segmentation from imperfect labeling
End-to-end learning of brain tissue segmentation from imperfect labeling
A. Fedorov
Jeremy Johnson
Eswar Damaraju
Alexei Ozerin
Vince D. Calhoun
Sergey Plis
MedIm
68
48
0
03 Dec 2016
Procedural Generation of Videos to Train Deep Action Recognition
  Networks
Procedural Generation of Videos to Train Deep Action Recognition Networks
César Roberto de Souza
Adrien Gaidon
Yohann Cabon
A. Peña
84
144
0
02 Dec 2016
Breast Mass Classification from Mammograms using Deep Convolutional
  Neural Networks
Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks
Daniel Levy
Arzav Jain
MedIm
84
207
0
02 Dec 2016
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Yaman Umuroglu
Nicholas J. Fraser
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
110
1,002
0
01 Dec 2016
Understanding image motion with group representations
Understanding image motion with group representations
Andrew Jaegle
Stephen Phillips
Daphne Ippolito
Kostas Daniilidis
GAN
21
1
0
01 Dec 2016
Video Captioning with Multi-Faceted Attention
Video Captioning with Multi-Faceted Attention
Xiang Long
Chuang Gan
Gerard de Melo
87
88
0
01 Dec 2016
Learning to Generate Images of Outdoor Scenes from Attributes and
  Semantic Layouts
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Levent Karacan
Zeynep Akata
Aykut Erdem
Erkut Erdem
GAN
101
188
0
01 Dec 2016
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network
  for Hyperspectral Image Classification
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification
Anirban Santara
Kaustubh Mani
Pranoot Hatwar
Ankit Singh
Ankur Garg
K. Padia
Pabitra Mitra
88
134
0
01 Dec 2016
Towards Robust Deep Neural Networks with BANG
Towards Robust Deep Neural Networks with BANG
Andras Rozsa
Manuel Günther
Terrance E. Boult
AAMLOOD
98
76
0
01 Dec 2016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
643
1,529
0
30 Nov 2016
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH3DV
116
2,576
0
30 Nov 2016
Semantic Facial Expression Editing using Autoencoded Flow
Semantic Facial Expression Editing using Autoencoded Flow
Raymond A. Yeh
Ziwei Liu
Dan B. Goldman
A. Agarwala
CVBM3DH
73
73
0
30 Nov 2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for
  Semantic Segmentation
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
S. Jégou
M. Drozdzal
David Vazquez
Adriana Romero
Yoshua Bengio
SSeg
224
1,582
0
28 Nov 2016
Learning Deep Representations Using Convolutional Auto-encoders with
  Symmetric Skip Connections
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip Connections
Jianfeng Dong
Xiao-Jiao Mao
Chunhua Shen
Yubin Yang
SSL
23
6
0
28 Nov 2016
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos
Linchao Zhu
Zhongwen Xu
Yi Yang
90
76
0
28 Nov 2016
Real-Time Video Highlights for Yahoo Esports
Real-Time Video Highlights for Yahoo Esports
Yale Song
48
14
0
27 Nov 2016
Bottleneck Conditional Density Estimation
Bottleneck Conditional Density Estimation
Rui Shu
Hung Bui
Mohammad Ghavamzadeh
BDL
58
23
0
25 Nov 2016
Full-Resolution Residual Networks for Semantic Segmentation in Street
  Scenes
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen
Alexander Hermans
Markus Mathias
Bastian Leibe
SSeg
95
564
0
24 Nov 2016
Texture Synthesis with Spatial Generative Adversarial Networks
Texture Synthesis with Spatial Generative Adversarial Networks
Nikolay Jetchev
Urs M. Bergmann
Roland Vollgraf
GAN
79
214
0
24 Nov 2016
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer
  Interfaces
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern
Amelia J. Solon
Nicholas R. Waytowich
Stephen M. Gordon
C. Hung
Brent Lance
OOD
168
2,935
0
23 Nov 2016
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
Sanghoon Hong
Byungseok Roh
Kye-Hyeon Kim
Yeongjae Cheon
Minje Park
ObjD
75
83
0
23 Nov 2016
A dataset and exploration of models for understanding video data through
  fill-in-the-blank question-answering
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering
Tegan Maharaj
Nicolas Ballas
Anna Rohrbach
Aaron Courville
C. Pal
VGen
80
108
0
23 Nov 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLLOOD
185
3,791
0
23 Nov 2016
Deep Convolutional Neural Networks with Merge-and-Run Mappings
Deep Convolutional Neural Networks with Merge-and-Run Mappings
Liming Zhao
Jingdong Wang
Xi Li
Zhuowen Tu
Yueting Zhuang
MoMe
109
68
0
23 Nov 2016
Deep Feature Flow for Video Recognition
Deep Feature Flow for Video Recognition
Xizhou Zhu
Yuwen Xiong
Jifeng Dai
Lu Yuan
Yichen Wei
133
600
0
23 Nov 2016
Relaxed Earth Mover's Distances for Chain- and Tree-connected Spaces and
  their use as a Loss Function in Deep Learning
Relaxed Earth Mover's Distances for Chain- and Tree-connected Spaces and their use as a Loss Function in Deep Learning
Manuel Martínez
Monica Haurilet
Ziad Al-Halah
Makarand Tapaswi
Rainer Stiefelhagen
34
7
0
22 Nov 2016
Deep Recurrent Convolutional Neural Network: Improving Performance For
  Speech Recognition
Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition
Zewang Zhang
Zheng Sun
Jiaqi Liu
Jingwen Chen
Zhao Huo
Xiao Zhang
51
13
0
22 Nov 2016
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
Chongxuan Li
Jun Zhu
Bo Zhang
AI4CE
94
42
0
22 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
359
19,731
0
21 Nov 2016
Spatial contrasting for deep unsupervised learning
Spatial contrasting for deep unsupervised learning
Elad Hoffer
Itay Hubara
Nir Ailon
SSL
84
3
0
21 Nov 2016
Crowd Counting by Adapting Convolutional Neural Networks with Side
  Information
Crowd Counting by Adapting Convolutional Neural Networks with Side Information
Di Kang
Debarun Dhar
Antoni B. Chan
HAI
54
22
0
21 Nov 2016
Deep Temporal Linear Encoding Networks
Deep Temporal Linear Encoding Networks
Ali Diba
Vivek Sharma
Luc Van Gool
74
228
0
21 Nov 2016
Deep Learning for the Classification of Lung Nodules
Deep Learning for the Classification of Lung Nodules
He Yang
Hengyong Yu
Ge Wang
18
47
0
21 Nov 2016
Temporal Generative Adversarial Nets with Singular Value Clipping
Temporal Generative Adversarial Nets with Singular Value Clipping
Masaki Saito
Eiichi Matsumoto
Shunta Saito
GAN
103
450
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
Time Series Classification from Scratch with Deep Neural Networks: A
  Strong Baseline
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Zhiguang Wang
Weizhong Yan
Tim Oates
AI4TS
115
1,664
0
20 Nov 2016
Deep Residual Learning for Compressed Sensing CT Reconstruction via
  Persistent Homology Analysis
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis
Yoseob Han
J. Yoo
J. C. Ye
73
206
0
19 Nov 2016
Beyond Deep Residual Learning for Image Restoration: Persistent
  Homology-Guided Manifold Simplification
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
Woong Bae
J. Yoo
J. C. Ye
SupR
116
182
0
19 Nov 2016
The Freiburg Groceries Dataset
The Freiburg Groceries Dataset
P. Jund
N. Abdo
Andreas Eitel
Wolfram Burgard
92
56
0
17 Nov 2016
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
Xingcheng Zhang
Zhizhong Li
Chen Change Loy
Dahua Lin
MDE
69
261
0
17 Nov 2016
Factorized Bilinear Models for Image Recognition
Factorized Bilinear Models for Image Recognition
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
86
97
0
17 Nov 2016
Inverting The Generator Of A Generative Adversarial Network
Inverting The Generator Of A Generative Adversarial Network
Antonia Creswell
Anil Anthony Bharath
GAN
221
340
0
17 Nov 2016
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network
  for Fast Artistic Style Transfer
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
Xin Eric Wang
Geoffrey Oxholm
Da Zhang
Yuan-fang Wang
GANOffRL
79
168
0
17 Nov 2016
Deep Feature Interpolation for Image Content Changes
Deep Feature Interpolation for Image Content Changes
P. Upchurch
Jacob V. Gardner
Geoff Pleiss
Robert Pless
Noah Snavely
Kavita Bala
Kilian Q. Weinberger
118
309
0
16 Nov 2016
On the Exploration of Convolutional Fusion Networks for Visual
  Recognition
On the Exploration of Convolutional Fusion Networks for Visual Recognition
Y. Liu
Yanming Guo
M. Lew
44
23
0
16 Nov 2016
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