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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 / 7,097 papers shown
Title
Rich Image Captioning in the Wild
Rich Image Captioning in the Wild
Kenneth Tran
Xiaodong He
Lei Zhang
Jian Sun
Cornelia Carapcea
Chris Thrasher
Chris Buehler
Chris Sienkiewicz
VLM
19
123
0
30 Mar 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order
  Verification
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification
Ishan Misra
C. L. Zitnick
M. Hebert
SSL
28
66
0
28 Mar 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for
  Automated Image Annotation
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Hoo-Chang Shin
Kirk Roberts
Le Lu
Dina Demner-Fushman
Jianhua Yao
Ronald M. Summers
18
347
0
28 Mar 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
S. K. Esser
P. Merolla
John V. Arthur
A. Cassidy
R. Appuswamy
...
Pallab Datta
A. Amir
B. Taba
M. Flickner
D. Modha
3DH
17
714
0
28 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
39
10,160
0
27 Mar 2016
Resnet in Resnet: Generalizing Residual Architectures
Resnet in Resnet: Generalizing Residual Architectures
S. Targ
Diogo Almeida
Kevin Lyman
SSeg
14
806
0
25 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
34
1,009
0
22 Mar 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
36
1,351
0
21 Mar 2016
A Fast Unified Model for Parsing and Sentence Understanding
A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman
Jon Gauthier
Abhinav Rastogi
Raghav Gupta
Christopher D. Manning
Christopher Potts
22
313
0
19 Mar 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
12
3,037
0
18 Mar 2016
Transferring Learned Microcalcification Group Detection from 2D
  Mammography to 3D Digital Breast Tomosynthesis Using a Hierarchical Model and
  Scope-based Normalization Features
Transferring Learned Microcalcification Group Detection from 2D Mammography to 3D Digital Breast Tomosynthesis Using a Hierarchical Model and Scope-based Normalization Features
Yin Yin
S. V. Fotin
Hrishikesh Haldankar
J. Hoffmeister
S. Periaswamy
12
4
0
18 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
31
617
0
17 Mar 2016
Accelerating Deep Neural Network Training with Inconsistent Stochastic
  Gradient Descent
Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent
Linnan Wang
Yi Yang
Martin Renqiang Min
S. Chakradhar
15
91
0
17 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
54
4,331
0
16 Mar 2016
Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
22
499
0
16 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
16
10,125
0
16 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A
  Hybrid Network for Semantic Segmentation
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan
Huan Zhang
Yangqing Jia
Thomas Breuel
Yizhou Yu
SSeg
24
41
0
15 Mar 2016
Learning Typographic Style
Learning Typographic Style
S. Baluja
30
15
0
13 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
14
942
0
10 Mar 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning
  and Large-Scale Data Collection
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine
P. Pastor
A. Krizhevsky
Deirdre Quillen
6
2,061
0
07 Mar 2016
Normalization Propagation: A Parametric Technique for Removing Internal
  Covariate Shift in Deep Networks
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
Devansh Arpit
Yingbo Zhou
Bhargava U. Kota
V. Govindaraju
19
126
0
04 Mar 2016
Learning Physical Intuition of Block Towers by Example
Learning Physical Intuition of Block Towers by Example
Adam Lerer
Sam Gross
Rob Fergus
PINN
24
298
0
03 Mar 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection,
  Landmark Localization, Pose Estimation, and Gender Recognition
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Rajeev Ranjan
Vishal M. Patel
Rama Chellappa
CVBM
3DH
43
1,219
0
03 Mar 2016
Learning Functions: When Is Deep Better Than Shallow
Learning Functions: When Is Deep Better Than Shallow
H. Mhaskar
Q. Liao
T. Poggio
30
144
0
03 Mar 2016
Molecular Graph Convolutions: Moving Beyond Fingerprints
Molecular Graph Convolutions: Moving Beyond Fingerprints
S. Kearnes
Kevin McCloskey
Marc Berndl
Vijay S. Pande
Patrick F. Riley
GNN
52
1,436
0
02 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
18
39
0
01 Mar 2016
Scalable and Sustainable Deep Learning via Randomized Hashing
Scalable and Sustainable Deep Learning via Randomized Hashing
Ryan Spring
Anshumali Shrivastava
23
132
0
26 Feb 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
93
1,924
0
25 Feb 2016
Learning values across many orders of magnitude
Learning values across many orders of magnitude
H. V. Hasselt
A. Guez
Matteo Hessel
Volodymyr Mnih
David Silver
17
169
0
24 Feb 2016
Learning to Generate with Memory
Learning to Generate with Memory
Chongxuan Li
Jun Zhu
Bo Zhang
BDL
16
42
0
24 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
107
14,137
0
23 Feb 2016
Revise Saturated Activation Functions
Revise Saturated Activation Functions
Bing Xu
Ruitong Huang
Mu Li
19
72
0
18 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
26
17,032
0
17 Feb 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
58
1,351
0
08 Feb 2016
Improved Dropout for Shallow and Deep Learning
Improved Dropout for Shallow and Deep Learning
Zhe Li
Boqing Gong
Tianbao Yang
BDL
SyDa
30
79
0
06 Feb 2016
Strongly-Typed Recurrent Neural Networks
Strongly-Typed Recurrent Neural Networks
David Balduzzi
Muhammad Ghifary
PINN
16
60
0
06 Feb 2016
A Kronecker-factored approximate Fisher matrix for convolution layers
A Kronecker-factored approximate Fisher matrix for convolution layers
Roger C. Grosse
James Martens
ODL
34
258
0
03 Feb 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
49
2,052
0
31 Dec 2015
Learning Local Image Descriptors with Deep Siamese and Triplet
  Convolutional Networks by Minimising Global Loss Functions
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
B. V. Kumar
G. Carneiro
Ian Reid
SSL
35
310
0
31 Dec 2015
Beyond Classification: Latent User Interests Profiling from Visual
  Contents Analysis
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis
Longqi Yang
C. Hsieh
D. Estrin
16
25
0
21 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
171
191,365
0
10 Dec 2015
Speeding Up Distributed Machine Learning Using Codes
Speeding Up Distributed Machine Learning Using Codes
Kangwook Lee
Maximilian Lam
Ramtin Pedarsani
Dimitris Papailiopoulos
Kannan Ramchandran
31
853
0
08 Dec 2015
Fine-grained Image Classification by Exploring Bipartite-Graph Labels
Fine-grained Image Classification by Exploring Bipartite-Graph Labels
Feng Zhou
Yuanqing Lin
22
130
0
08 Dec 2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
19
2,954
0
08 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
68
27,084
0
02 Dec 2015
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
30
96
0
24 Nov 2015
LocNet: Improving Localization Accuracy for Object Detection
LocNet: Improving Localization Accuracy for Object Detection
Spyros Gidaris
N. Komodakis
ObjD
28
140
0
24 Nov 2015
Where To Look: Focus Regions for Visual Question Answering
Where To Look: Focus Regions for Visual Question Answering
Kevin J. Shih
Saurabh Singh
Derek Hoiem
34
456
0
23 Nov 2015
Data-dependent Initializations of Convolutional Neural Networks
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krahenbuhl
Carl Doersch
Jeff Donahue
Trevor Darrell
VLM
28
202
0
21 Nov 2015
Adding Gradient Noise Improves Learning for Very Deep Networks
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan
Luke Vilnis
Quoc V. Le
Ilya Sutskever
Lukasz Kaiser
Karol Kurach
James Martens
AI4CE
ODL
27
541
0
21 Nov 2015
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