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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 / 7,858 papers shown
Title
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning
  Challenge
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
30
851
0
21 Sep 2016
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression
  Recognition
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition
Hui Ding
S. Kevin Zhou
Rama Chellappa
CVBM
39
363
0
21 Sep 2016
From Facial Expression Recognition to Interpersonal Relation Prediction
From Facial Expression Recognition to Interpersonal Relation Prediction
Zhanpeng Zhang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
23
266
0
21 Sep 2016
Enabling Dark Energy Science with Deep Generative Models of Galaxy
  Images
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images
Siamak Ravanbakhsh
F. Lanusse
Rachel Mandelbaum
J. Schneider
Barnabás Póczós
36
65
0
19 Sep 2016
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Senthil Purushwalkam
Abhinav Gupta
SSL
29
23
0
18 Sep 2016
Deep Kinematic Pose Regression
Deep Kinematic Pose Regression
Xingyi Zhou
Xiao Sun
Wei Zhang
Shuang Liang
Yichen Wei
3DH
30
264
0
17 Sep 2016
Information Theoretic Limits of Data Shuffling for Distributed Learning
Information Theoretic Limits of Data Shuffling for Distributed Learning
Mohamed Adel Attia
Ravi Tandon
FedML
27
40
0
16 Sep 2016
Deep Impression: Audiovisual Deep Residual Networks for Multimodal
  Apparent Personality Trait Recognition
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition
Yağmur Güçlütürk
Umut Güçlü
Marcel van Gerven
R. Lier
CVBM
26
97
0
16 Sep 2016
Predicting Shot Making in Basketball Learnt from Adversarial Multiagent
  Trajectories
Predicting Shot Making in Basketball Learnt from Adversarial Multiagent Trajectories
Mark Harmon
Abdolghani Ebrahimi
P. Lucey
Diego Klabjan
GAN
25
18
0
15 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
96
10,608
0
15 Sep 2016
An overview of gradient descent optimization algorithms
An overview of gradient descent optimization algorithms
Sebastian Ruder
ODL
66
6,145
0
15 Sep 2016
Structured Dropout for Weak Label and Multi-Instance Learning and Its
  Application to Score-Informed Source Separation
Structured Dropout for Weak Label and Multi-Instance Learning and Its Application to Score-Informed Source Separation
Sebastian Ewert
Mark Sandler
27
23
0
15 Sep 2016
A Large Contextual Dataset for Classification, Detection and Counting of
  Cars with Deep Learning
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
T. Nathan Mundhenk
G. Konjevod
W. Sakla
K. Boakye
35
333
0
14 Sep 2016
Convolutional Recurrent Neural Networks for Music Classification
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
Kyunghyun Cho
27
476
0
14 Sep 2016
Multimodal Attention for Neural Machine Translation
Multimodal Attention for Neural Machine Translation
Ozan Caglayan
Loïc Barrault
Fethi Bougares
34
75
0
13 Sep 2016
VIPLFaceNet: An Open Source Deep Face Recognition SDK
VIPLFaceNet: An Open Source Deep Face Recognition SDK
Xin Liu
Meina Kan
Wanglong Wu
Shiguang Shan
Xilin Chen
CVBM
VLM
38
99
0
13 Sep 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction
  Approach
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
Giorgio Patrini
A. Rozza
A. Menon
Richard Nock
Lizhen Qu
NoLa
51
1,437
0
13 Sep 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
72
2,870
0
13 Sep 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jun Zhao
Michaël Mathieu
Yann LeCun
GAN
91
1,109
0
11 Sep 2016
Automated detection of smuggled high-risk security threats using Deep
  Learning
Automated detection of smuggled high-risk security threats using Deep Learning
Nicolas Jaccard
T. W. Rogers
E. Morton
Lewis D. Griffin
24
32
0
09 Sep 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
106
1,462
0
08 Sep 2016
Discrete Variational Autoencoders
Discrete Variational Autoencoders
J. Rolfe
BDL
DRL
35
255
0
07 Sep 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
50
670
0
07 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
40
534
0
06 Sep 2016
Ternary Neural Networks for Resource-Efficient AI Applications
Ternary Neural Networks for Resource-Efficient AI Applications
Hande Alemdar
V. Leroy
Adrien Prost-Boucle
F. Pétrot
24
204
0
01 Sep 2016
Training Deep Spiking Neural Networks using Backpropagation
Training Deep Spiking Neural Networks using Backpropagation
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
23
936
0
31 Aug 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
90
3,660
0
31 Aug 2016
PVANET: Deep but Lightweight Neural Networks for Real-time Object
  Detection
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
Kye-Hyeon Kim
Sanghoon Hong
Byungseok Roh
Yeongjae Cheon
Minje Park
ObjD
VLM
22
207
0
29 Aug 2016
Linking Image and Text with 2-Way Nets
Linking Image and Text with 2-Way Nets
Aviv Eisenschtat
Lior Wolf
27
176
0
29 Aug 2016
Learning Temporal Transformations From Time-Lapse Videos
Learning Temporal Transformations From Time-Lapse Videos
Yipin Zhou
Tamara L. Berg
30
148
0
27 Aug 2016
Sympathy for the Details: Dense Trajectories and Hybrid Classification
  Architectures for Action Recognition
Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
César Roberto de Souza
Adrien Gaidon
E. Vig
A. Peña
27
44
0
25 Aug 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
345
36,437
0
25 Aug 2016
Local Binary Convolutional Neural Networks
Local Binary Convolutional Neural Networks
Felix Juefei Xu
Vishnu Boddeti
Marios Savvides
MQ
32
251
0
22 Aug 2016
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
23
119
0
22 Aug 2016
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
Xi Peng
Rogerio Feris
Xiaoyu Wang
Dimitris N. Metaxas
CVBM
180
140
0
19 Aug 2016
Decoupled Neural Interfaces using Synthetic Gradients
Decoupled Neural Interfaces using Synthetic Gradients
Max Jaderberg
Wojciech M. Czarnecki
Simon Osindero
Oriol Vinyals
Alex Graves
David Silver
Koray Kavukcuoglu
47
354
0
18 Aug 2016
Mollifying Networks
Mollifying Networks
Çağlar Gülçehre
Marcin Moczulski
Francesco Visin
Yoshua Bengio
23
46
0
17 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
80
8,465
0
16 Aug 2016
Design of Efficient Convolutional Layers using Single Intra-channel
  Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
Min Wang
Baoyuan Liu
H. Foroosh
27
51
0
15 Aug 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural
  Networks
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
26
577
0
15 Aug 2016
A Riemannian Network for SPD Matrix Learning
A Riemannian Network for SPD Matrix Learning
Zhiwu Huang
Luc Van Gool
20
392
0
15 Aug 2016
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
Zhangyang Wang
Shiyu Chang
Qing Ling
Shuai Huang
Xia Hu
Honghui Shi
Thomas S. Huang
BDL
15
2
0
14 Aug 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
77
6,931
0
13 Aug 2016
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI
  Cardiac Segmentation
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation
Rudra P. K. Poudel
P. Lamata
Giovanni Montana
MedIm
22
247
0
13 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
47
2,323
0
12 Aug 2016
3D Human Pose Estimation Using Convolutional Neural Networks with 2D
  Pose Information
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
Sungheon Park
Jihye Hwang
Nojun Kwak
3DH
22
154
0
10 Aug 2016
Towards cross-lingual distributed representations without parallel text
  trained with adversarial autoencoders
Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Antonio Valerio Miceli Barone
16
120
0
09 Aug 2016
Residual Networks of Residual Networks: Multilevel Residual Networks
Residual Networks of Residual Networks: Multilevel Residual Networks
Ke Zhang
Miao Sun
T. Han
Xingfang Yuan
Liru Guo
Tao Liu
26
303
0
09 Aug 2016
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
Yuanjun Xiong
Limin Wang
Zhe Wang
Bowen Zhang
Hang Song
Wei Li
Dahua Lin
Yu Qiao
Luc Van Gool
Xiaoou Tang
38
146
0
02 Aug 2016
Dense semantic labeling of sub-decimeter resolution images with
  convolutional neural networks
Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks
Michele Volpi
D. Tuia
SSeg
26
475
0
02 Aug 2016
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