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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"

47 / 7,097 papers shown
Title
Scalable Gradient-Based Tuning of Continuous Regularization
  Hyperparameters
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
Jelena Luketina
Mathias Berglund
Klaus Greff
T. Raiko
27
173
0
20 Nov 2015
On the energy landscape of deep networks
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
40
27
0
20 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
27
604
0
19 Nov 2015
Learning to Generate Images with Perceptual Similarity Metrics
Learning to Generate Images with Perceptual Similarity Metrics
Jake C. Snell
Karl Ridgeway
Renjie Liao
Brett D. Roads
Michael C. Mozer
R. Zemel
EGVM
24
176
0
19 Nov 2015
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
35
809
0
19 Nov 2015
Order-Embeddings of Images and Language
Order-Embeddings of Images and Language
Ivan Vendrov
Ryan Kiros
Sanja Fidler
R. Urtasun
37
542
0
19 Nov 2015
Online Batch Selection for Faster Training of Neural Networks
Online Batch Selection for Faster Training of Neural Networks
I. Loshchilov
Frank Hutter
ODL
37
296
0
19 Nov 2015
Neural network-based clustering using pairwise constraints
Neural network-based clustering using pairwise constraints
Yen-Chang Hsu
Z. Kira
24
83
0
19 Nov 2015
Adjustable Bounded Rectifiers: Towards Deep Binary Representations
Adjustable Bounded Rectifiers: Towards Deep Binary Representations
Zhirong Wu
Dahua Lin
Xiaoou Tang
MQ
16
14
0
19 Nov 2015
Reducing Overfitting in Deep Networks by Decorrelating Representations
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell
Faruk Ahmed
Ross B. Girshick
C. L. Zitnick
Dhruv Batra
32
411
0
19 Nov 2015
Convolutional neural networks with low-rank regularization
Convolutional neural networks with low-rank regularization
Cheng Tai
Tong Xiao
Yi Zhang
Xiaogang Wang
E. Weinan
BDL
11
460
0
19 Nov 2015
Image Question Answering using Convolutional Neural Network with Dynamic
  Parameter Prediction
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh
Paul Hongsuck Seo
Bohyung Han
OOD
22
327
0
18 Nov 2015
On the interplay of network structure and gradient convergence in deep
  learning
On the interplay of network structure and gradient convergence in deep learning
V. Ithapu
Sathya Ravi
Vikas Singh
18
3
0
17 Nov 2015
An Exploration of Softmax Alternatives Belonging to the Spherical Loss
  Family
An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family
A. D. Brébisson
Pascal Vincent
11
97
0
16 Nov 2015
Learning Fine-grained Features via a CNN Tree for Large-scale
  Classification
Learning Fine-grained Features via a CNN Tree for Large-scale Classification
Zhenhua Wang
Xingxing Wang
G. Wang
28
49
0
14 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
21
91
0
13 Nov 2015
Representational Distance Learning for Deep Neural Networks
Representational Distance Learning for Deep Neural Networks
Patrick McClure
N. Kriegeskorte
22
48
0
12 Nov 2015
Traffic Sign Classification Using Deep Inception Based Convolutional
  Networks
Traffic Sign Classification Using Deep Inception Based Convolutional Networks
Mrinal Haloi
14
42
0
10 Nov 2015
The Variational Fair Autoencoder
The Variational Fair Autoencoder
Christos Louizos
Kevin Swersky
Yujia Li
Max Welling
R. Zemel
DRL
17
632
0
03 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
FireCaffe: near-linear acceleration of deep neural network training on
  compute clusters
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
19
302
0
31 Oct 2015
How Important is Weight Symmetry in Backpropagation?
How Important is Weight Symmetry in Backpropagation?
Q. Liao
Joel Z Leibo
T. Poggio
11
167
0
17 Oct 2015
Improving Back-Propagation by Adding an Adversarial Gradient
Improving Back-Propagation by Adding an Adversarial Gradient
Arild Nøkland
AAML
24
32
0
14 Oct 2015
Batch Normalized Recurrent Neural Networks
Batch Normalized Recurrent Neural Networks
César Laurent
Gabriel Pereyra
Philemon Brakel
Wenjie Qu
Yoshua Bengio
30
213
0
05 Oct 2015
A Primer on Neural Network Models for Natural Language Processing
A Primer on Neural Network Models for Natural Language Processing
Yoav Goldberg
AI4CE
50
1,128
0
02 Oct 2015
Feature Evaluation of Deep Convolutional Neural Networks for Object
  Recognition and Detection
Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection
Hirokatsu Kataoka
K. Iwata
Y. Satoh
ObjD
33
19
0
25 Sep 2015
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A
  Systematic Study
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study
Suyog Gupta
Wei Zhang
Fei Wang
11
170
0
14 Sep 2015
Hierarchical Deep Learning Architecture For 10K Objects Classification
Hierarchical Deep Learning Architecture For 10K Objects Classification
A. Katole
Krishna Prasad Yellapragada
A. K. Bedi
S. S. Kalra
M. S. Chaitanya
BDL
OCL
19
25
0
07 Sep 2015
Deep Convolutional Neural Networks for Smile Recognition
Deep Convolutional Neural Networks for Smile Recognition
P. Glauner
CVBM
22
38
0
26 Aug 2015
What is Holding Back Convnets for Detection?
What is Holding Back Convnets for Detection?
Bojan Pepik
Rodrigo Benenson
Tobias Ritschel
Bernt Schiele
ObjD
24
64
0
12 Aug 2015
Using Deep Learning for Detecting Spoofing Attacks on Speech Signals
Using Deep Learning for Detecting Spoofing Attacks on Speech Signals
Alan Godoy
F. Simões
J. Stuchi
M. A. Angeloni
Mário Uliani Neto
R. P. V. Violato
AAML
13
6
0
07 Aug 2015
Compact Convolutional Neural Network Cascade for Face Detection
Compact Convolutional Neural Network Cascade for Face Detection
Ilya Kalinowski
V. Spitsyn
CVBM
24
35
0
06 Aug 2015
An End-to-End Trainable Neural Network for Image-based Sequence
  Recognition and Its Application to Scene Text Recognition
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
Baoguang Shi
X. Bai
Cong Yao
VLM
58
2,460
0
21 Jul 2015
Convolutional networks and learning invariant to homogeneous
  multiplicative scalings
Convolutional networks and learning invariant to homogeneous multiplicative scalings
M. Tygert
Arthur Szlam
Soumith Chintala
MarcÁurelio Ranzato
Yuandong Tian
Wojciech Zaremba
21
12
0
26 Jun 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
60
2,018
0
09 Jun 2015
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur
Ruslan Salakhutdinov
Nathan Srebro
ODL
21
305
0
08 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
J. Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffM
BDL
24
258
0
08 Jun 2015
Efficient Large Scale Video Classification
Efficient Large Scale Video Classification
Balakrishnan Varadarajan
G. Toderici
Sudheendra Vijayanarasimhan
Apostol Natsev
21
23
0
22 May 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
77
2,894
0
05 May 2015
Lateral Connections in Denoising Autoencoders Support Supervised
  Learning
Lateral Connections in Denoising Autoencoders Support Supervised Learning
Antti Rasmus
Harri Valpola
T. Raiko
27
22
0
30 Apr 2015
Correlational Neural Networks
Correlational Neural Networks
A. Chandar
Mitesh M. Khapra
Hugo Larochelle
Balaraman Ravindran
CML
34
142
0
27 Apr 2015
Object Detection Networks on Convolutional Feature Maps
Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren
Kaiming He
Ross B. Girshick
Xinming Zhang
Jian Sun
ObjD
27
407
0
23 Apr 2015
When Face Recognition Meets with Deep Learning: an Evaluation of
  Convolutional Neural Networks for Face Recognition
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Guosheng Hu
Yongxin Yang
Dong Yi
J. Kittler
William Christmas
Stan Z. Li
Timothy M. Hospedales
CVBM
3DV
33
316
0
09 Apr 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
29
18,455
0
06 Feb 2015
Deep Image: Scaling up Image Recognition
Ren Wu
Shengen Yan
Yi Shan
Qingqing Dang
Gang Sun
VLM
41
373
0
13 Jan 2015
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
56
5,993
0
17 Nov 2014
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