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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"

28 / 11,178 papers shown
Title
ParseNet: Looking Wider to See Better
ParseNet: Looking Wider to See Better
Wei Liu
Andrew Rabinovich
Alexander C. Berg
SSeg
145
1,214
0
15 Jun 2015
Spectral Representations for Convolutional Neural Networks
Spectral Representations for Convolutional Neural Networks
Oren Rippel
Jasper Snoek
Ryan P. Adams
72
331
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
163
2,350
0
10 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
218
2,043
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
105
310
0
08 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffMBDL
156
258
0
08 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
326
7,414
0
05 Jun 2015
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
244
2,547
0
03 Jun 2015
Classify Images with Conceptor Network
Yuhuang Hu
S. Advanced
C. K. Loo
36
5
0
02 Jun 2015
Efficient Large Scale Video Classification
Efficient Large Scale Video Classification
Balakrishnan Varadarajan
G. Toderici
Sudheendra Vijayanarasimhan
Apostol Natsev
74
24
0
22 May 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRLSSL
186
2,795
0
19 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
311
4,179
0
17 May 2015
Deep Learning for Medical Image Segmentation
Deep Learning for Medical Image Segmentation
Matthew Lai
MedImSSeg
73
100
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
118
739
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
154
2,921
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
75
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
84
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
189
1,879
0
29 Apr 2015
Correlational Neural Networks
Correlational Neural Networks
A. Chandar
Mitesh M. Khapra
Hugo Larochelle
Balaraman Ravindran
CML
127
143
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
116
409
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
84
318
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
96
89
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
523
18,688
0
06 Feb 2015
Deep Image: Scaling up Image Recognition
Ren Wu
Shengen Yan
Yi Shan
Qingqing Dang
Gang Sun
VLM
125
375
0
13 Jan 2015
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
335
2,952
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
305
6,050
0
17 Nov 2014
Evaluation of Output Embeddings for Fine-Grained Image Classification
Evaluation of Output Embeddings for Fine-Grained Image Classification
Zeynep Akata
Scott E. Reed
D. Walter
Honglak Lee
Bernt Schiele
146
1,022
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
82
3
0
06 Nov 2013
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