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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"

43 / 13,243 papers shown
What is Holding Back Convnets for Detection?
What is Holding Back Convnets for Detection?German Conference on Pattern Recognition (DAGM), 2015
Bojan Pepik
Rodrigo Benenson
Tobias Ritschel
Bernt Schiele
ObjD
224
65
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
123
9
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
251
37
0
06 Aug 2015
On the Importance of Normalisation Layers in Deep Learning with
  Piecewise Linear Activation Units
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation UnitsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2015
Zhibin Liao
G. Carneiro
187
64
0
03 Aug 2015
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic
  Segmentation
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic SegmentationBritish Machine Vision Conference (BMVC), 2015
D. L. Richmond
Dagmar Kainmüller
M. Yang
E. Myers
Carsten Rother
SSeg
264
14
0
27 Jul 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 RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
Baoguang Shi
X. Bai
Cong Yao
VLM
636
2,729
0
21 Jul 2015
Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians
Bottom-Up and Top-Down Reasoning with Hierarchical Rectified GaussiansComputer Vision and Pattern Recognition (CVPR), 2015
Peiyun Hu
Deva Ramanan
BDL
340
115
0
21 Jul 2015
Neural CRF Parsing
Neural CRF ParsingAnnual Meeting of the Association for Computational Linguistics (ACL), 2015
Greg Durrett
Dan Klein
109
129
0
13 Jul 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder NetworksNeural Information Processing Systems (NeurIPS), 2015
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
346
1,410
0
09 Jul 2015
Distributional Smoothing with Virtual Adversarial Training
Distributional Smoothing with Virtual Adversarial Training
Takeru Miyato
S. Maeda
Masanori Koyama
Ken Nakae
S. Ishii
722
463
0
02 Jul 2015
Natural Neural Networks
Natural Neural Networks
Guillaume Desjardins
Karen Simonyan
Razvan Pascanu
Koray Kavukcuoglu
257
184
0
01 Jul 2015
Neural Simpletrons - Minimalistic Directed Generative Networks for
  Learning with Few Labels
Neural Simpletrons - Minimalistic Directed Generative Networks for Learning with Few Labels
D. Forster
Abdul-Saboor Sheikh
Jörg Lücke
BDL
293
14
0
28 Jun 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
249
12
0
26 Jun 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
722
2,312
0
18 Jun 2015
ParseNet: Looking Wider to See Better
ParseNet: Looking Wider to See Better
Wei Liu
Andrew Rabinovich
Alexander C. Berg
SSeg
315
1,251
0
15 Jun 2015
Spectral Representations for Convolutional Neural Networks
Spectral Representations for Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2015
Oren Rippel
Jasper Snoek
Ryan P. Adams
191
379
0
11 Jun 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning
  with Humans in the Loop
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
403
2,527
0
10 Jun 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural NetworksNeural Information Processing Systems (NeurIPS), 2015
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
996
2,194
0
09 Jun 2015
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Path-SGD: Path-Normalized Optimization in Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2015
Behnam Neyshabur
Ruslan Salakhutdinov
Nathan Srebro
ODL
225
320
0
08 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffMBDL
640
263
0
08 Jun 2015
Spatial Transformer Networks
Spatial Transformer NetworksNeural Information Processing Systems (NeurIPS), 2015
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
1.4K
7,862
0
05 Jun 2015
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2015
L. Smith
ODL
755
2,794
0
03 Jun 2015
Classify Images with Conceptor Network
Yuhuang Hu
S. Advanced
C. K. Loo
164
6
0
02 Jun 2015
Efficient Large Scale Video Classification
Efficient Large Scale Video Classification
Balakrishnan Varadarajan
G. Toderici
Sudheendra Vijayanarasimhan
Apostol Natsev
166
24
0
22 May 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context PredictionIEEE International Conference on Computer Vision (ICCV), 2015
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRLSSL
610
2,911
0
19 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
523
4,306
0
17 May 2015
Deep Learning for Medical Image Segmentation
Deep Learning for Medical Image Segmentation
Matthew Lai
MedImSSeg
152
107
0
08 May 2015
Object detection via a multi-region & semantic segmentation-aware CNN
  model
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris
N. Komodakis
ObjDSSeg
315
762
0
07 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
349
3,119
0
05 May 2015
Can deep learning help you find the perfect match?
Can deep learning help you find the perfect match?
H. D. Vries
J. Yosinski
HAI
201
4
0
02 May 2015
Lateral Connections in Denoising Autoencoders Support Supervised
  Learning
Lateral Connections in Denoising Autoencoders Support Supervised Learning
Antti Rasmus
Harri Valpola
T. Raiko
175
22
0
30 Apr 2015
Bilinear CNNs for Fine-grained Visual Recognition
Bilinear CNNs for Fine-grained Visual Recognition
Tsung-Yu Lin
Aruni RoyChowdhury
Subhransu Maji
817
1,994
0
29 Apr 2015
Correlational Neural Networks
Correlational Neural Networks
A. Chandar
Mitesh M. Khapra
Hugo Larochelle
Balaraman Ravindran
CML
300
148
0
27 Apr 2015
Comparison of Training Methods for Deep Neural Networks
Comparison of Training Methods for Deep Neural Networks
P. Glauner
74
16
0
26 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
303
425
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
CVBM3DV
147
328
0
09 Apr 2015
A Probabilistic Theory of Deep Learning
A Probabilistic Theory of Deep Learning
Ankit B. Patel
M. T. Nguyen
Richard G. Baraniuk
BDLOODUQCV
207
91
0
02 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
1.2K
19,913
0
06 Feb 2015
Deep Image: Scaling up Image Recognition
Ren Wu
Shengen Yan
Yi Shan
Qingqing Dang
Gang Sun
VLM
418
385
0
13 Jan 2015
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLABACM Multimedia (ACM MM), 2014
Andrea Vedaldi
Karel Lenc
606
2,974
0
15 Dec 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption GeneratorComputer Vision and Pattern Recognition (CVPR), 2014
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
609
6,373
0
17 Nov 2014
Evaluation of Output Embeddings for Fine-Grained Image Classification
Evaluation of Output Embeddings for Fine-Grained Image ClassificationComputer Vision and Pattern Recognition (CVPR), 2014
Zeynep Akata
Scott E. Reed
D. Walter
Honglak Lee
Bernt Schiele
429
1,067
0
30 Sep 2014
How to Center Binary Deep Boltzmann Machines
How to Center Binary Deep Boltzmann Machines
Jan Melchior
Asja Fischer
Laurenz Wiskott
OOD
140
3
0
06 Nov 2013
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