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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
Physical Representation-based Predicate Optimization for a Visual
  Analytics Database
Physical Representation-based Predicate Optimization for a Visual Analytics Database
Michael R. Anderson
Michael Cafarella
G. Ros
T. Wenisch
89
61
0
11 Jun 2018
Dual Pattern Learning Networks by Empirical Dual Prediction Risk
  Minimization
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization
Haimin Zhang
Min Xu
23
0
0
11 Jun 2018
Fast Approximate Natural Gradient Descent in a Kronecker-factored
  Eigenbasis
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis
Thomas George
César Laurent
Xavier Bouthillier
Nicolas Ballas
Pascal Vincent
ODL
123
156
0
11 Jun 2018
Data augmentation instead of explicit regularization
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
129
144
0
11 Jun 2018
DOOBNet: Deep Object Occlusion Boundary Detection from an Image
DOOBNet: Deep Object Occlusion Boundary Detection from an Image
Guoxia Wang
Xiaohui Liang
Frederick W. B. Li
67
31
0
11 Jun 2018
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
Amartya Sanyal
Matt J. Kusner
Adria Gascon
Varun Kanade
FedML
74
127
0
09 Jun 2018
Data Synthesis based on Generative Adversarial Networks
Data Synthesis based on Generative Adversarial Networks
Noseong Park
Mahmoud Mohammadi
Kshitij Gorde
S. Jajodia
Hongkyu Park
Youngmin Kim
245
490
0
09 Jun 2018
PipeDream: Fast and Efficient Pipeline Parallel DNN Training
PipeDream: Fast and Efficient Pipeline Parallel DNN Training
A. Harlap
Deepak Narayanan
Amar Phanishayee
Vivek Seshadri
Nikhil R. Devanur
G. Ganger
Phillip B. Gibbons
AI4CE
80
256
0
08 Jun 2018
Spreading vectors for similarity search
Spreading vectors for similarity search
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
MQ
157
122
0
08 Jun 2018
Rotation Equivariant CNNs for Digital Pathology
Rotation Equivariant CNNs for Digital Pathology
Bastiaan S. Veeling
J. Linmans
Jim Winkens
Taco S. Cohen
Max Welling
132
586
0
08 Jun 2018
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
Tianwei Lin
Xu Zhao
Haisheng Su
Chongjing Wang
Ming Yang
228
708
0
08 Jun 2018
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
Raeid Saqur
Sal Vivona
GAN
58
24
0
07 Jun 2018
Training Faster by Separating Modes of Variation in Batch-normalized
  Models
Training Faster by Separating Modes of Variation in Batch-normalized Models
Mahdi M. Kalayeh
M. Shah
70
43
0
07 Jun 2018
Revisiting the Importance of Individual Units in CNNs via Ablation
Revisiting the Importance of Individual Units in CNNs via Ablation
Bolei Zhou
Yiyou Sun
David Bau
Antonio Torralba
FAtt
135
117
0
07 Jun 2018
Path-Level Network Transformation for Efficient Architecture Search
Path-Level Network Transformation for Efficient Architecture Search
Han Cai
Jiacheng Yang
Weinan Zhang
Song Han
Yong Yu
88
211
0
07 Jun 2018
Dimensionality-Driven Learning with Noisy Labels
Dimensionality-Driven Learning with Noisy Labels
Xingjun Ma
Yisen Wang
Michael E. Houle
Shuo Zhou
S. Erfani
Shutao Xia
S. Wijewickrema
James Bailey
NoLa
92
434
0
07 Jun 2018
Shape Robust Text Detection with Progressive Scale Expansion Network
Shape Robust Text Detection with Progressive Scale Expansion Network
Xiang Li
Wenhai Wang
Wenbo Hou
Ruo-Ze Liu
Tong Lu
Jian Yang
104
615
0
07 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
355
906
0
07 Jun 2018
Quantitative Phase Imaging and Artificial Intelligence: A Review
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo
Hyungjoon Cho
Sang Yun Lee
Gunho Choi
Geon Kim
Hyun-Seok Min
Yongkeun Park
102
155
0
06 Jun 2018
Visual Reasoning by Progressive Module Networks
Visual Reasoning by Progressive Module Networks
Seung Wook Kim
Makarand Tapaswi
Sanja Fidler
ReLMLRM
70
13
0
06 Jun 2018
Learning Implicit Sampling Distributions for Motion Planning
Learning Implicit Sampling Distributions for Motion Planning
Clark Zhang
Jinwook Huh
Daniel D. Lee
54
77
0
06 Jun 2018
Mining for meaning: from vision to language through multiple networks
  consensus
Mining for meaning: from vision to language through multiple networks consensus
Iulia Duta
Andrei Liviu Nicolicioiu
Simion-Vlad Bogolin
Marius Leordeanu
93
3
0
05 Jun 2018
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network
  Structure Searching from Scratch
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching from Scratch
Jian Ren
Zhe Li
Jianchao Yang
N. Xu
Tianbao Yang
D. Foran
78
17
0
05 Jun 2018
Probabilistic Deep Learning using Random Sum-Product Networks
Probabilistic Deep Learning using Random Sum-Product Networks
Robert Peharz
Antonio Vergari
Karl Stelzner
Alejandro Molina
Martin Trapp
Kristian Kersting
Zoubin Ghahramani
UQCVBDLTPM
62
29
0
05 Jun 2018
Integrating Flexible Normalization into Mid-Level Representations of
  Deep Convolutional Neural Networks
Integrating Flexible Normalization into Mid-Level Representations of Deep Convolutional Neural Networks
L. S. Giraldo
O. Schwartz
45
17
0
05 Jun 2018
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
Rachel A. Ward
Xiaoxia Wu
Léon Bottou
ODL
134
369
0
05 Jun 2018
Evidential Deep Learning to Quantify Classification Uncertainty
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy
Lance M. Kaplan
M. Kandemir
OODUQCVEDLBDL
214
1,009
0
05 Jun 2018
A Machine Learning Framework for Stock Selection
A Machine Learning Framework for Stock Selection
XingYu Fu
JinHong Du
Yifeng Guo
MingWen Liu
Tao Dong
XiuWen Duan
AIFin
68
31
0
05 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance
  Benchmark
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
Cody Coleman
Daniel Kang
Deepak Narayanan
Luigi Nardi
Tian Zhao
Jian Zhang
Peter Bailis
K. Olukotun
Christopher Ré
Matei A. Zaharia
73
117
0
04 Jun 2018
Universal Statistics of Fisher Information in Deep Neural Networks: Mean
  Field Approach
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida
S. Akaho
S. Amari
FedML
213
146
0
04 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
896
3,132
0
04 Jun 2018
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic
  Segmentation
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation
Jindong Jiang
Lunan Zheng
Fei Luo
Zhijun Zhang
3DPCSSeg
131
217
0
04 Jun 2018
Differential Diagnosis for Pancreatic Cysts in CT Scans Using
  Densely-Connected Convolutional Networks
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks
Hongwei Bran Li
Kanru Lin
M. Reichert
Lina Xu
R. Braren
D. Fu
R. Schmid
Ji Li
Bjoern Menze
Kuangyu Shi
MedIm
38
29
0
04 Jun 2018
Meta-Learner with Linear Nulling
Meta-Learner with Linear Nulling
Sung Whan Yoon
Jun Seo
Jaekyun Moon
31
1
0
04 Jun 2018
Voice Imitating Text-to-Speech Neural Networks
Voice Imitating Text-to-Speech Neural Networks
Younggun Lee
Taesu Kim
Soo-Young Lee
65
11
0
04 Jun 2018
TI-CNN: Convolutional Neural Networks for Fake News Detection
TI-CNN: Convolutional Neural Networks for Fake News Detection
Yang Yang
Lei Zheng
Jiawei Zhang
Qingcai Cui
Zhoujun Li
Philip S. Yu
89
236
0
03 Jun 2018
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network
  for Lung Nodule Malignancy Classification
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification
Shiwen Shen
Simon X. Han
D. Aberle
Alex A. T. Bui
William Hsu
76
239
0
02 Jun 2018
Deep Pepper: Expert Iteration based Chess agent in the Reinforcement
  Learning Setting
Deep Pepper: Expert Iteration based Chess agent in the Reinforcement Learning Setting
Sai Krishna G.V.
Kyle Goyette
A. Chamseddine
Breandan Considine
30
3
0
02 Jun 2018
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
Yunzhe Tao
Qi Sun
Q. Du
Wen Liu
DiffM
94
37
0
02 Jun 2018
Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Yuanzhouhan Cao
Tianqi Zhao
Ke Xian
Chunhua Shen
Zhiguo Cao
Shugong Xu
MDE
157
51
0
02 Jun 2018
Solving the Kolmogorov PDE by means of deep learning
Solving the Kolmogorov PDE by means of deep learning
C. Beck
S. Becker
Philipp Grohs
Nor Jaafari
Arnulf Jentzen
90
96
0
01 Jun 2018
Whitening and Coloring batch transform for GANs
Whitening and Coloring batch transform for GANs
Aliaksandr Siarohin
E. Sangineto
N. Sebe
102
50
0
01 Jun 2018
Nonlinear Acceleration of CNNs
Nonlinear Acceleration of CNNs
Damien Scieur
Edouard Oyallon
Alexandre d’Aspremont
Francis R. Bach
35
11
0
01 Jun 2018
Accurate and Efficient Similarity Search for Large Scale Face
  Recognition
Accurate and Efficient Similarity Search for Large Scale Face Recognition
Ce Qi
Zhizhong Liu
Fei Su
CVBM
31
0
0
01 Jun 2018
The Nonlinearity Coefficient - Predicting Generalization in Deep Neural
  Networks
The Nonlinearity Coefficient - Predicting Generalization in Deep Neural Networks
George Philipp
J. Carbonell
73
14
0
01 Jun 2018
Understanding Batch Normalization
Understanding Batch Normalization
Johan Bjorck
Carla P. Gomes
B. Selman
Kilian Q. Weinberger
269
620
0
01 Jun 2018
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative
  Operators
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators
Frank Nielsen
Ke Sun
38
1
0
01 Jun 2018
Fully Automated Organ Segmentation in Male Pelvic CT Images
Fully Automated Organ Segmentation in Male Pelvic CT Images
Anjali Balagopal
S. Kazemifar
D. Nguyen
Mu-Han Lin
R. Hannan
A. Owrangi
Steve B. Jiang
60
121
0
31 May 2018
Cyberattack Detection using Deep Generative Models with Variational
  Inference
Cyberattack Detection using Deep Generative Models with Variational Inference
S. Chandy
A. Rasekh
Zachary A. Barker
M. Shafiee
AAML
51
26
0
31 May 2018
One-shot domain adaptation in multiple sclerosis lesion segmentation
  using convolutional neural networks
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
Sergi Valverde
Mostafa Salem
Mariano Cabezas
D. Pareto
J. Vilanova
L. Ramió-Torrentá
À. Rovira
J. Salvi
A. Oliver
Xavier Llado
68
138
0
31 May 2018
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