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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 / 7,550 papers shown
Title
Discovering Causal Signals in Images
Discovering Causal Signals in Images
David Lopez-Paz
Robert Nishihara
Soumith Chintala
Bernhard Schölkopf
Léon Bottou
CML
11
223
0
26 May 2016
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Fei Sha
VLM
35
177
0
26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
97
78
0
26 May 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
45
933
0
24 May 2016
Genetic Architect: Discovering Genomic Structure with Learned Neural
  Architectures
Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures
Laura Deming
S. Targ
Nate Sauder
Diogo Almeida
Chun Jimmie Ye
GNN
35
14
0
23 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
68
7,914
0
23 May 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large
  Datasets
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein
Stefan Falkner
Simon Bartels
Philipp Hennig
Frank Hutter
AI4CE
35
546
0
23 May 2016
Swapout: Learning an ensemble of deep architectures
Swapout: Learning an ensemble of deep architectures
Saurabh Singh
Derek Hoiem
David A. Forsyth
BDL
3DPC
OOD
UQCV
21
150
0
20 May 2016
Learning shape correspondence with anisotropic convolutional neural
  networks
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
M. Bronstein
3DPC
29
505
0
20 May 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit
Michael J. Wilber
Serge J. Belongie
UQCV
22
107
0
20 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
29
127
0
20 May 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
Julien Mairal
SSL
34
130
0
20 May 2016
FPNN: Field Probing Neural Networks for 3D Data
FPNN: Field Probing Neural Networks for 3D Data
Yangyan Li
Soren Pirk
Hao Su
C. Qi
Leonidas J. Guibas
3DPC
29
287
0
20 May 2016
Localizing by Describing: Attribute-Guided Attention Localization for
  Fine-Grained Recognition
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition
Xiao-Chang Liu
Jiang Wang
Shilei Wen
Errui Ding
Yuanqing Lin
13
76
0
20 May 2016
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
176
840
0
17 May 2016
Ternary Weight Networks
Ternary Weight Networks
Fengfu Li
Bin Liu
Xiaoxing Wang
Bo-Wen Zhang
Junchi Yan
MQ
38
521
0
16 May 2016
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation
  Model
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
Eldar Insafutdinov
L. Pishchulin
Bjoern Andres
Mykhaylo Andriluka
Bernt Schiele
3DH
39
1,109
0
10 May 2016
Recurrent Convolutional Neural Network Regression for Continuous Pain
  Intensity Estimation in Video
Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video
Jing Zhou
Xiaopeng Hong
Zhicheng Zhao
Guoying Zhao
15
116
0
03 May 2016
DisturbLabel: Regularizing CNN on the Loss Layer
DisturbLabel: Regularizing CNN on the Loss Layer
Lingxi Xie
Jingdong Wang
Zhen Wei
Meng Wang
Qi Tian
41
250
0
30 Apr 2016
InterActive: Inter-Layer Activeness Propagation
InterActive: Inter-Layer Activeness Propagation
Lingxi Xie
Liang Zheng
Jingdong Wang
Alan Yuille
Qi Tian
FAtt
33
45
0
30 Apr 2016
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction
Seunghyun Park
Seonwoo Min
Hyun-Soo Choi
Sungroh Yoon
13
49
0
29 Apr 2016
The Z-loss: a shift and scale invariant classification loss belonging to
  the Spherical Family
The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family
A. D. Brébisson
Pascal Vincent
17
10
0
29 Apr 2016
Towards Better Analysis of Deep Convolutional Neural Networks
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu
Jiaxin Shi
Zerui Li
Chongxuan Li
Jun Zhu
Shixia Liu
HAI
45
471
0
24 Apr 2016
Synthetic Data for Text Localisation in Natural Images
Synthetic Data for Text Localisation in Natural Images
Ankush Gupta
Andrea Vedaldi
Andrew Zisserman
78
1,419
0
22 Apr 2016
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
36
2,605
0
22 Apr 2016
Training Deep Nets with Sublinear Memory Cost
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen
Bing Xu
Chiyuan Zhang
Carlos Guestrin
58
1,145
0
21 Apr 2016
High-performance Semantic Segmentation Using Very Deep Fully
  Convolutional Networks
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
25
130
0
15 Apr 2016
Deep Residual Networks with Exponential Linear Unit
Deep Residual Networks with Exponential Linear Unit
Anish Shah
Eashan Kadam
Hena Shah
Sameer Shinde
Sandip Shingade
50
120
0
14 Apr 2016
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep
  Convolutional Neural Networks
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
Junyuan Xie
Ross B. Girshick
Ali Farhadi
3DH
42
426
0
13 Apr 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
213
255
0
13 Apr 2016
Orientation-boosted Voxel Nets for 3D Object Recognition
Orientation-boosted Voxel Nets for 3D Object Recognition
Nima Sedaghat
Mohammadreza Zolfaghari
Ehsan Amiri
Thomas Brox
3DPC
21
223
0
12 Apr 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas J. Guibas
3DPC
3DV
5
1,561
0
12 Apr 2016
CRAFT Objects from Images
CRAFT Objects from Images
Bin Yang
Junjie Yan
Zhen Lei
Stan Z. Li
ObjD
21
123
0
12 Apr 2016
Recurrent Attentional Networks for Saliency Detection
Recurrent Attentional Networks for Saliency Detection
Jason Kuen
Zhenhua Wang
G. Wang
18
238
0
12 Apr 2016
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection
  from Videos
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
Kai Kang
Hongsheng Li
Junjie Yan
Xingyu Zeng
Binh Yang
...
Cong Zhang
Zhe Wang
Ruohui Wang
Xiaogang Wang
Wanli Ouyang
ObjD
27
478
0
09 Apr 2016
Training Constrained Deconvolutional Networks for Road Scene Semantic
  Segmentation
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
G. Ros
Simon Stent
P. Alcantarilla
Tomoki Watanabe
21
55
0
06 Apr 2016
Deep Cross Residual Learning for Multitask Visual Recognition
Deep Cross Residual Learning for Multitask Visual Recognition
Brendan Jou
Shih-Fu Chang
ObjD
29
91
0
05 Apr 2016
A Semisupervised Approach for Language Identification based on Ladder
  Networks
A Semisupervised Approach for Language Identification based on Ladder Networks
Ehud Ben-Reuven
Jacob Goldberger
22
5
0
01 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
74
2,336
0
30 Mar 2016
Recurrent Batch Normalization
Recurrent Batch Normalization
Tim Cooijmans
Nicolas Ballas
César Laurent
Çağlar Gülçehre
Aaron Courville
ODL
19
410
0
30 Mar 2016
Rich Image Captioning in the Wild
Rich Image Captioning in the Wild
Kenneth Tran
Xiaodong He
Lei Zhang
Jian Sun
Cornelia Carapcea
Chris Thrasher
Chris Buehler
Chris Sienkiewicz
VLM
19
123
0
30 Mar 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order
  Verification
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification
Ishan Misra
C. L. Zitnick
M. Hebert
SSL
28
66
0
28 Mar 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for
  Automated Image Annotation
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Hoo-Chang Shin
Kirk Roberts
Le Lu
Dina Demner-Fushman
Jianhua Yao
Ronald M. Summers
18
347
0
28 Mar 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
S. K. Esser
P. Merolla
John V. Arthur
A. Cassidy
R. Appuswamy
...
Pallab Datta
A. Amir
B. Taba
M. Flickner
D. Modha
3DH
25
715
0
28 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
54
10,168
0
27 Mar 2016
Resnet in Resnet: Generalizing Residual Architectures
Resnet in Resnet: Generalizing Residual Architectures
S. Targ
Diogo Almeida
Kevin Lyman
SSeg
22
806
0
25 Mar 2016
Convolution in Convolution for Network in Network
Convolution in Convolution for Network in Network
Yanwei Pang
Manli Sun
Xiaoheng Jiang
Xuelong Li
31
167
0
22 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
34
1,010
0
22 Mar 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
36
1,351
0
21 Mar 2016
A Fast Unified Model for Parsing and Sentence Understanding
A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman
Jon Gauthier
Abhinav Rastogi
Raghav Gupta
Christopher D. Manning
Christopher Potts
22
313
0
19 Mar 2016
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