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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
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
Raunak Dey
Zhongjie Lu
Yi Hong
65
146
0
19 Mar 2018
Attention-based Temporal Weighted Convolutional Neural Network for
  Action Recognition
Attention-based Temporal Weighted Convolutional Neural Network for Action Recognition
J. Zang
Le Wang
Zi-yi Liu
Qilin Zhang
Zhenxing Niu
G. Hua
N. Zheng
54
72
0
19 Mar 2018
On the importance of single directions for generalization
On the importance of single directions for generalization
Ari S. Morcos
David Barrett
Neil C. Rabinowitz
M. Botvinick
127
333
0
19 Mar 2018
Deep learning improved by biological activation functions
Deep learning improved by biological activation functions
Gardave S. Bhumbra
21
6
0
19 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic
  Segmentation
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Sachin Mehta
Mohammad Rastegari
A. Caspi
Linda G. Shapiro
Hannaneh Hajishirzi
SSeg
156
784
0
19 Mar 2018
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision
Syed Ashar Javed
Shreyas Saxena
Vineet Gandhi
SSL
76
25
0
17 Mar 2018
Learning to Cluster for Proposal-Free Instance Segmentation
Learning to Cluster for Proposal-Free Instance Segmentation
Yen-Chang Hsu
Zheng Xu
Z. Kira
Jiawei Huang
SSeg
68
55
0
17 Mar 2018
Deep Component Analysis via Alternating Direction Neural Networks
Deep Component Analysis via Alternating Direction Neural Networks
Calvin Murdock
Ming-Fang Chang
Simon Lucey
BDL
81
20
0
16 Mar 2018
Joint Recognition of Handwritten Text and Named Entities with a Neural
  End-to-end Model
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model
Manuel Carbonell
M. Villegas
Alicia Fornés
Josep Lladós
55
27
0
16 Mar 2018
Chemi-net: a graph convolutional network for accurate drug property
  prediction
Chemi-net: a graph convolutional network for accurate drug property prediction
Ke Liu
Xiangyan Sun
Lei Jia
Jun Ma
Haoming Xing
Junqiu Wu
Hua Gao
Yax Sun
Florian Boulnois
Jie Fan
MedImGNN
63
142
0
16 Mar 2018
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully
  Convolutional Networks
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks
M. Anthimopoulos
Stergios Christodoulidis
L. Ebner
Thomas Geiser
Andreas Christe
Stavroula Mougiakakou
63
115
0
16 Mar 2018
A Dataset and Architecture for Visual Reasoning with a Working Memory
A Dataset and Architecture for Visual Reasoning with a Working Memory
G. R. Yang
Igor Ganichev
Xiao-Jing Wang
Jonathon Shlens
David Sussillo
73
55
0
16 Mar 2018
Deep Co-Training for Semi-Supervised Image Recognition
Deep Co-Training for Semi-Supervised Image Recognition
Siyuan Qiao
Wei Shen
Zhishuai Zhang
Bo Wang
Alan Yuille
67
455
0
15 Mar 2018
Chiron: Privacy-preserving Machine Learning as a Service
Chiron: Privacy-preserving Machine Learning as a Service
T. Hunt
Congzheng Song
Reza Shokri
Vitaly Shmatikov
Emmett Witchel
58
201
0
15 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey
  and Future Directions
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions
Stylianos I. Venieris
Alexandros Kouris
C. Bouganis
76
185
0
15 Mar 2018
Virtual CNN Branching: Efficient Feature Ensemble for Person
  Re-Identification
Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification
Albert Gong
Qiang Qiu
Guillermo Sapiro
3DPC
53
3
0
15 Mar 2018
Exploring Linear Relationship in Feature Map Subspace for ConvNets
  Compression
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression
Dong Wang
Lei Zhou
Xueni Zhang
Xiao Bai
Jun Zhou
80
47
0
15 Mar 2018
LEGO: Learning Edge with Geometry all at Once by Watching Videos
LEGO: Learning Edge with Geometry all at Once by Watching Videos
Zhenheng Yang
Peng Wang
Yang Wang
Wenyuan Xu
Ram Nevatia
3DPCSSL
84
189
0
15 Mar 2018
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face
  Alignment
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment
Zhiwen Shao
Zhilei Liu
Jianfei Cai
Lizhuang Ma
CVBM
113
175
0
15 Mar 2018
Speaker Verification using Convolutional Neural Networks
Speaker Verification using Convolutional Neural Networks
Hossein Salehghaffari
20
25
0
14 Mar 2018
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot
  study
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study
Zhang Li
Zheyu Hu
Jiaolong Xu
T. Tan
Hui Chen
...
G. Cai
Q. Ouyang
Yuling Tang
G. Litjens
Qiang Li
51
31
0
14 Mar 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedMLMoMe
244
1,679
0
14 Mar 2018
Image Colorization with Generative Adversarial Networks
Image Colorization with Generative Adversarial Networks
Kamyar Nazeri
Eric Ng
Mehran Ebrahimi
GAN
89
145
0
14 Mar 2018
An application of cascaded 3D fully convolutional networks for medical
  image segmentation
An application of cascaded 3D fully convolutional networks for medical image segmentation
H. Roth
H. Oda
Xiangrong Zhou
N. Shimizu
Ying Yang
Y. Hayashi
M. Oda
M. Fujiwara
K. Misawa
K. Mori
68
274
0
14 Mar 2018
Automatic Pixelwise Object Labeling for Aerial Imagery Using Stacked
  U-Nets
Automatic Pixelwise Object Labeling for Aerial Imagery Using Stacked U-Nets
A. Khalel
M. El-Saban
40
49
0
13 Mar 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Diviyan Kalainathan
Olivier Goudet
Isabelle M Guyon
David Lopez-Paz
Michèle Sebag
CML
95
96
0
13 Mar 2018
Flipout: Efficient Pseudo-Independent Weight Perturbations on
  Mini-Batches
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Yeming Wen
Paul Vicol
Jimmy Ba
Dustin Tran
Roger C. Grosse
BDL
101
315
0
12 Mar 2018
Replication study: Development and validation of deep learning algorithm
  for detection of diabetic retinopathy in retinal fundus photographs
Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
M. Voets
Kajsa Møllersen
L. A. Bongo
77
177
0
12 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
138
1,320
0
12 Mar 2018
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise
  Loss
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss
Xuefei Zhe
Shifeng Chen
Hong-Mei Yan
60
36
0
12 Mar 2018
A Deep Learning Based Behavioral Approach to Indoor Autonomous
  Navigation
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation
G. Sepulveda
Juan Carlos Niebles
Á. Soto
GNN
69
37
0
12 Mar 2018
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image
  Classification
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification
Kamyar Nazeri
Azad Aminpour
Mehran Ebrahimi
85
267
0
11 Mar 2018
Learning from Noisy Web Data with Category-level Supervision
Learning from Noisy Web Data with Category-level Supervision
Li Niu
Qingtao Tang
Ashok Veeraraghavan
A. Sabharwal
NoLa
75
32
0
10 Mar 2018
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
N. Gessert
M. Schlüter
Alexander Schlaefer
55
30
0
10 Mar 2018
ShuffleSeg: Real-time Semantic Segmentation Network
ShuffleSeg: Real-time Semantic Segmentation Network
M. Gamal
Mennatullah Siam
Moemen Abdel-Razek
SSeg
68
60
0
10 Mar 2018
Variance Networks: When Expectation Does Not Meet Your Expectations
Variance Networks: When Expectation Does Not Meet Your Expectations
Kirill Neklyudov
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
UQCV
96
23
0
10 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
436
3,497
0
09 Mar 2018
Cross-View Image Synthesis using Conditional GANs
Cross-View Image Synthesis using Conditional GANs
Krishna Regmi
Ali Borji
GAN
87
189
0
09 Mar 2018
Motion deblurring of faces
Motion deblurring of faces
Grigorios G. Chrysos
Paolo Favaro
Stefanos Zafeiriou
CVBM
56
30
0
08 Mar 2018
Generalization in Metric Learning: Should the Embedding Layer be the
  Embedding Layer?
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?
Nam S. Vo
James Hays
77
33
0
08 Mar 2018
TicTac: Accelerating Distributed Deep Learning with Communication
  Scheduling
TicTac: Accelerating Distributed Deep Learning with Communication Scheduling
Sayed Hadi Hashemi
Sangeetha Abdu Jyothi
R. Campbell
74
200
0
08 Mar 2018
Compositional Attention Networks for Machine Reasoning
Compositional Attention Networks for Machine Reasoning
Drew A. Hudson
Christopher D. Manning
BDLOODLRM
219
578
0
08 Mar 2018
Learning Effective Binary Visual Representations with Deep Networks
Learning Effective Binary Visual Representations with Deep Networks
Jianxin Wu
Jian-Hao Luo
MQ
20
1
0
08 Mar 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
279
2,245
0
08 Mar 2018
Rethinking Feature Distribution for Loss Functions in Image
  Classification
Rethinking Feature Distribution for Loss Functions in Image Classification
Weitao Wan
Yuanyi Zhong
Tianpeng Li
Jiansheng Chen
94
168
0
08 Mar 2018
WNGrad: Learn the Learning Rate in Gradient Descent
WNGrad: Learn the Learning Rate in Gradient Descent
Xiaoxia Wu
Rachel A. Ward
Léon Bottou
70
88
0
07 Mar 2018
Transfer Learning with Neural AutoML
Transfer Learning with Neural AutoML
Catherine Wong
N. Houlsby
Yifeng Lu
Andrea Gesmundo
78
114
0
07 Mar 2018
RTSeg: Real-time Semantic Segmentation Comparative Study
RTSeg: Real-time Semantic Segmentation Comparative Study
Mennatullah Siam
M. Gamal
Moemen Abdel-Razek
S. Yogamani
Martin Jägersand
SSeg
98
116
0
07 Mar 2018
HENet:A Highly Efficient Convolutional Neural Networks Optimized for
  Accuracy, Speed and Storage
HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage
Qiuyu Zhu
Ruixin Zhang
3DH
37
5
0
07 Mar 2018
Visual Explanations From Deep 3D Convolutional Neural Networks for
  Alzheimer's Disease Classification
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
Chengliang Yang
Anand Rangarajan
Sanjay Ranka
FAtt
76
142
0
07 Mar 2018
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