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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
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
47
8,448
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
24
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
4
393
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
Kaicheng Zhang
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
62
6,927
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
14
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
2,320
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
6
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
18
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
35
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
21
474
0
02 Aug 2016
Structured prediction models for RNN based sequence labeling in clinical
  text
Structured prediction models for RNN based sequence labeling in clinical text
Abhyuday N. Jagannatha
Hong-ye Yu
26
199
0
01 Aug 2016
Gated Siamese Convolutional Neural Network Architecture for Human
  Re-Identification
Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification
Rahul Rama Varior
Mrinal Haloi
G. Wang
26
795
0
28 Jul 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan
Yaniv Romano
Michael Elad
59
284
0
27 Jul 2016
End-to-End Image Super-Resolution via Deep and Shallow Convolutional
  Networks
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
Yifan Wang
Lijun Wang
Hongyu Wang
P. Li
SupR
OOD
32
140
0
26 Jul 2016
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
Yaroslav Ganin
Daniil Kononenko
Diana Sungatullina
Victor Lempitsky
CVBM
27
122
0
25 Jul 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
37
10,307
0
21 Jul 2016
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face
  Recognition
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition
Changxing Ding
Dacheng Tao
CVBM
48
387
0
19 Jul 2016
Learning to Decode Linear Codes Using Deep Learning
Learning to Decode Linear Codes Using Deep Learning
Eliya Nachmani
Yair Be’ery
D. Burshtein
95
456
0
16 Jul 2016
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
Song Han
Jeff Pool
Sharan Narang
Huizi Mao
Enhao Gong
...
Peter Vajda
Manohar Paluri
J. Tran
Bryan Catanzaro
W. Dally
CVBM
27
83
0
15 Jul 2016
Application of Convolutional Neural Network for Image Classification on
  Pascal VOC Challenge 2012 dataset
Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset
Suyash Shetty
166
33
0
13 Jul 2016
Re-presenting a Story by Emotional Factors using Sentimental Analysis
  Method
Re-presenting a Story by Emotional Factors using Sentimental Analysis Method
Hwiyeol Jo
Yohan Moon
Jong In Kim
Jeong Ryu
10
0
0
13 Jul 2016
Classifying Variable-Length Audio Files with All-Convolutional Networks
  and Masked Global Pooling
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling
L. Hertel
Huy P Phan
Alfred Mertins
24
19
0
11 Jul 2016
Acoustic scene classification using convolutional neural network and
  multiple-width frequency-delta data augmentation
Acoustic scene classification using convolutional neural network and multiple-width frequency-delta data augmentation
Yoonchang Han
Kyogu Lee
35
48
0
08 Jul 2016
Watch This: Scalable Cost-Function Learning for Path Planning in Urban
  Environments
Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments
Markus Wulfmeier
Dominic Zeng Wang
Ingmar Posner
14
114
0
08 Jul 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes
X. Gonzalvo
Vitaly Kuznetsov
M. Mohri
Scott Yang
29
282
0
05 Jul 2016
Actor-critic versus direct policy search: a comparison based on sample
  complexity
Actor-critic versus direct policy search: a comparison based on sample complexity
Arnaud de Froissard de Broissia
Olivier Sigaud
18
12
0
29 Jun 2016
Improved Recurrent Neural Networks for Session-based Recommendations
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan
Xinxing Xu
Yong-Jin Liu
26
732
0
27 Jun 2016
Detection of concealed cars in complex cargo X-ray imagery using Deep
  Learning
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning
Nicolas Jaccard
T. W. Rogers
E. Morton
Lewis D. Griffin
16
66
0
26 Jun 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
15
512
0
25 Jun 2016
Hybrid Recommender System based on Autoencoders
Hybrid Recommender System based on Autoencoders
Florian Strub
Romaric Gaudel
Jérémie Mary
38
219
0
24 Jun 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yu Liu
Oncel Tuzel
OOD
GAN
22
1,622
0
24 Jun 2016
Tagger: Deep Unsupervised Perceptual Grouping
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff
Antti Rasmus
Mathias Berglund
T. Hao
Jürgen Schmidhuber
Harri Valpola
OCL
24
161
0
21 Jun 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
44
6,443
0
21 Jun 2016
On Multiplicative Integration with Recurrent Neural Networks
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu
Saizheng Zhang
Wenjie Qu
Yoshua Bengio
Ruslan Salakhutdinov
34
154
0
21 Jun 2016
Relative Natural Gradient for Learning Large Complex Models
Relative Natural Gradient for Learning Large Complex Models
Ke Sun
Frank Nielsen
29
5
0
20 Jun 2016
On the Expressive Power of Deep Neural Networks
On the Expressive Power of Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
27
777
0
16 Jun 2016
Learning feed-forward one-shot learners
Learning feed-forward one-shot learners
Luca Bertinetto
João F. Henriques
Jack Valmadre
Philip Torr
Andrea Vedaldi
18
469
0
16 Jun 2016
Optimization Methods for Large-Scale Machine Learning
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
51
3,172
0
15 Jun 2016
Multi-Modal Hybrid Deep Neural Network for Speech Enhancement
Multi-Modal Hybrid Deep Neural Network for Speech Enhancement
Zhenzhou Wu
S. Sivadas
Yong Kiam Tan
Ma Bin
Rick Siow Mong Goh
19
16
0
15 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
97
4,210
0
12 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
119
8,927
0
10 Jun 2016
Convolutional Sketch Inversion
Convolutional Sketch Inversion
Yağmur Güçlütürk
Umut Güçlü
R. Lier
Marcel van Gerven
CVBM
18
65
0
09 Jun 2016
Convolutional Neural Fabrics
Convolutional Neural Fabrics
Shreyas Saxena
Jakob Verbeek
24
225
0
08 Jun 2016
Structured Convolution Matrices for Energy-efficient Deep learning
Structured Convolution Matrices for Energy-efficient Deep learning
R. Appuswamy
T. Nayak
John V. Arthur
S. K. Esser
P. Merolla
J. McKinstry
T. Melano
M. Flickner
D. Modha
33
11
0
08 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,056
0
07 Jun 2016
Deep neural networks are robust to weight binarization and other
  non-linear distortions
Deep neural networks are robust to weight binarization and other non-linear distortions
P. Merolla
R. Appuswamy
John V. Arthur
S. K. Esser
D. Modha
OOD
MQ
25
96
0
07 Jun 2016
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