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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 / 11,282 papers shown
Title
Learning Task-Oriented Grasping for Tool Manipulation from Simulated
  Self-Supervision
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision
Kuan Fang
Yuke Zhu
Animesh Garg
Andrey Kurenkov
Viraj Mehta
Li Fei-Fei
Silvio Savarese
95
218
0
25 Jun 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
99
272
0
24 Jun 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning
Constructing Deep Neural Networks by Bayesian Network Structure Learning
R. Y. Rohekar
Shami Nisimov
Yaniv Gurwicz
G. Koren
Gal Novik
BDL
151
26
0
24 Jun 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
230
4,384
0
24 Jun 2018
Privacy-Protective-GAN for Face De-identification
Privacy-Protective-GAN for Face De-identification
Yifan Wu
Fan Yang
Haibin Ling
CVBMPICV
44
60
0
23 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
398
2,164
0
22 Jun 2018
Quantum Codes from Neural Networks
Quantum Codes from Neural Networks
Johannes Bausch
Felix Leditzky
89
46
0
22 Jun 2018
Learning-to-Ask: Knowledge Acquisition via 20 Questions
Learning-to-Ask: Knowledge Acquisition via 20 Questions
Yihong Chen
B. Chen
Xuguang Duan
Jian-Guang Lou
Yue Wang
Wenwu Zhu
Yong Cao
54
15
0
22 Jun 2018
Quantizing deep convolutional networks for efficient inference: A
  whitepaper
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
145
1,026
0
21 Jun 2018
Detecting Cyberattacks in Industrial Control Systems Using Convolutional
  Neural Networks
Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks
Moshe Kravchik
A. Shabtai
88
277
0
21 Jun 2018
Lamarckian Evolution of Convolutional Neural Networks
Lamarckian Evolution of Convolutional Neural Networks
J. Prellberg
Oliver Kramer
ODL
54
17
0
21 Jun 2018
Histological images segmentation of mucous glands
Histological images segmentation of mucous glands
A. Khvostikov
A. Krylov
O. Kharlova
N. Oleynikova
I. Mikhailov
P. Malkov
MedIm
16
0
0
20 Jun 2018
DEFRAG: Deep Euclidean Feature Representations through Adaptation on the
  Grassmann Manifold
DEFRAG: Deep Euclidean Feature Representations through Adaptation on the Grassmann Manifold
Breton L. Minnehan
Andreas E. Savakis
23
2
0
20 Jun 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks
  per Bit?
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Shilin Zhu
Xin Dong
Hao Su
MQ
115
138
0
20 Jun 2018
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene
  Classification
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification
Eduardo Fonseca
Rong Gong
Xavier Serra
46
12
0
19 Jun 2018
On the Learning of Deep Local Features for Robust Face Spoofing
  Detection
On the Learning of Deep Local Features for Robust Face Spoofing Detection
G. Souza
João Paulo Papa
A. Marana
CVBM
73
33
0
19 Jun 2018
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU
  Activation in Deep Learning
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning
Zhi Chen
P. Ho
61
3
0
19 Jun 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben-Nun
Alice Shoshana Jakobovits
Torsten Hoefler
70
245
0
19 Jun 2018
Spatio-Temporal Channel Correlation Networks for Action Classification
Spatio-Temporal Channel Correlation Networks for Action Classification
Ali Diba
Mohsen Fayyaz
Vivek Sharma
M. M. Arzani
Rahman Yousefzadeh
Juergen Gall
Luc Van Gool
3DPC
113
183
0
19 Jun 2018
Deep Learning Classification of 3.5 GHz Band Spectrograms with
  Applications to Spectrum Sensing
Deep Learning Classification of 3.5 GHz Band Spectrograms with Applications to Spectrum Sensing
W. Max Lees
Adam Wunderlich
Peter J. Jeavons
P. Hale
M. Souryal
63
88
0
19 Jun 2018
Detecting and interpreting myocardial infarction using fully
  convolutional neural networks
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff
C. Strodthoff
102
154
0
18 Jun 2018
Deep Spatiotemporal Representation of the Face for Automatic Pain
  Intensity Estimation
Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation
M. Tavakolian
Abdenour Hadid
CVBMMedIm3DH
49
19
0
18 Jun 2018
HitNet: a neural network with capsules embedded in a Hit-or-Miss layer,
  extended with hybrid data augmentation and ghost capsules
HitNet: a neural network with capsules embedded in a Hit-or-Miss layer, extended with hybrid data augmentation and ghost capsules
Adrien Deliège
A. Cioppa
Marc Van Droogenbroeck
70
48
0
18 Jun 2018
Conditional Affordance Learning for Driving in Urban Environments
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer
Nikolay Savinov
Andreas Geiger
91
187
0
18 Jun 2018
Fast Convex Pruning of Deep Neural Networks
Fast Convex Pruning of Deep Neural Networks
Alireza Aghasi
Afshin Abdi
Justin Romberg
73
24
0
17 Jun 2018
Compressed Sensing with Deep Image Prior and Learned Regularization
Compressed Sensing with Deep Image Prior and Learned Regularization
Dave Van Veen
A. Jalal
Mahdi Soltanolkotabi
Eric Price
S. Vishwanath
A. Dimakis
139
182
0
17 Jun 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer
  Learning
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Huayu Chen
Yang Song
Chen Sun
Andrew G. Howard
Serge J. Belongie
139
482
0
16 Jun 2018
Deep Lip Reading: a comparison of models and an online application
Deep Lip Reading: a comparison of models and an online application
Triantafyllos Afouras
Joon Son Chung
Andrew Zisserman
83
119
0
15 Jun 2018
SATR-DL: Improving Surgical Skill Assessment and Task Recognition in
  Robot-assisted Surgery with Deep Neural Networks
SATR-DL: Improving Surgical Skill Assessment and Task Recognition in Robot-assisted Surgery with Deep Neural Networks
Ziheng Wang
A. M. Fey
49
26
0
15 Jun 2018
Recurrent Multiresolution Convolutional Networks for VHR Image
  Classification
Recurrent Multiresolution Convolutional Networks for VHR Image Classification
J. R. Bergado
Claudio Persello
Alfred Stein
42
66
0
15 Jun 2018
Generative Adversarial Networks and Perceptual Losses for Video
  Super-Resolution
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
Alice Lucas
Santiago López-Tapia
Rafael Molina
Aggelos K. Katsaggelos
GANSupR
98
176
0
14 Jun 2018
NCRF++: An Open-source Neural Sequence Labeling Toolkit
NCRF++: An Open-source Neural Sequence Labeling Toolkit
Jie Yang
Yue Zhang
106
190
0
14 Jun 2018
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables
  Signal Propagation in Recurrent Neural Networks
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks
Minmin Chen
Jeffrey Pennington
S. Schoenholz
SyDaAI4CE
89
117
0
14 Jun 2018
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
341
354
0
14 Jun 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network
  Compression
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression
Kohei Yamamoto
K. Maeno
68
33
0
14 Jun 2018
Fire SSD: Wide Fire Modules based Single Shot Detector on Edge Device
Fire SSD: Wide Fire Modules based Single Shot Detector on Edge Device
Hengfui Liau
Yamini Nimmagadda
YengLiong Wong
ObjD
61
14
0
14 Jun 2018
From Trailers to Storylines: An Efficient Way to Learn from Movies
From Trailers to Storylines: An Efficient Way to Learn from Movies
Qingqiu Huang
Yuanjun Xiong
Yu Xiong
Yuqi Zhang
Dahua Lin
99
26
0
14 Jun 2018
o-glasses: Visualizing x86 Code from Binary Using a 1d-CNN
o-glasses: Visualizing x86 Code from Binary Using a 1d-CNN
Yuhei Otsubo
Akira Otsuka
M. Mimura
Takeshi Sakaki
Atsuhiro Goto
26
6
0
14 Jun 2018
Manifold Mixup: Better Representations by Interpolating Hidden States
Manifold Mixup: Better Representations by Interpolating Hidden States
Vikas Verma
Alex Lamb
Christopher Beckham
Amir Najafi
Ioannis Mitliagkas
Aaron Courville
David Lopez-Paz
Yoshua Bengio
AAMLDRL
111
35
0
13 Jun 2018
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets,
  and Beyond
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond
Xingguo Li
Junwei Lu
Zhaoran Wang
Jarvis Haupt
T. Zhao
71
80
0
13 Jun 2018
What Is It Like Down There? Generating Dense Ground-Level Views and
  Image Features From Overhead Imagery Using Conditional Generative Adversarial
  Networks
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks
XueQing Deng
Yi Zhu
Shawn D. Newsam
GAN
72
27
0
13 Jun 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
210
128
0
13 Jun 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial
  Differential Equation Control
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
Yangchen Pan
Amir-massoud Farahmand
Martha White
S. Nabi
P. Grover
D. Nikovski
95
19
0
13 Jun 2018
Position Detection and Direction Prediction for Arbitrary-Oriented Ships
  via Multitask Rotation Region Convolutional Neural Network
Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network
Xue Yang
Hao Sun
Xian Sun
Ming Yan
Zhi Guo
Kun Fu
92
149
0
13 Jun 2018
Deep learning to represent sub-grid processes in climate models
Deep learning to represent sub-grid processes in climate models
S. Rasp
Michael S. Pritchard
Pierre Gentine
AI4ClAI4CE
116
739
0
12 Jun 2018
Capsule Routing for Sound Event Detection
Capsule Routing for Sound Event Detection
Turab Iqbal
Yong-mei Xu
Qiuqiang Kong
Wenwu Wang
58
32
0
12 Jun 2018
Design Challenges and Misconceptions in Neural Sequence Labeling
Design Challenges and Misconceptions in Neural Sequence Labeling
Jie Yang
Shuailong Liang
Yue Zhang
214
164
0
12 Jun 2018
Gaussian mixture models with Wasserstein distance
Gaussian mixture models with Wasserstein distance
Benoit Gaujac
Ilya Feige
David Barber
48
9
0
12 Jun 2018
Attentive cross-modal paratope prediction
Attentive cross-modal paratope prediction
Andreea Deac
Petar Velickovic
Pietro Sormanni
98
60
0
12 Jun 2018
Automatic Ship Detection of Remote Sensing Images from Google Earth in
  Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks
Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks
Xue Yang
Hao Sun
Kun Fu
Jirui Yang
Xian Sun
Ming Yan
Zhi Guo
210
481
0
12 Jun 2018
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