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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"

50 / 13,245 papers shown
Generating images with recurrent adversarial networks
Generating images with recurrent adversarial networks
Daniel Jiwoong Im
C. Kim
Hui Jiang
Roland Memisevic
GAN
300
226
0
16 Feb 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
569
1,344
0
08 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDLDRL
523
966
0
06 Feb 2016
Improved Dropout for Shallow and Deep Learning
Improved Dropout for Shallow and Deep Learning
Zhe Li
Boqing Gong
Tianbao Yang
BDLSyDa
208
83
0
06 Feb 2016
Strongly-Typed Recurrent Neural Networks
Strongly-Typed Recurrent Neural Networks
David Balduzzi
Muhammad Ghifary
PINN
203
66
0
06 Feb 2016
Recognition of Visually Perceived Compositional Human Actions by
  Multiple Spatio-Temporal Scales Recurrent Neural Networks
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks
Haanvid Lee
Minju Jung
Jun Tani
241
20
0
05 Feb 2016
A Kronecker-factored approximate Fisher matrix for convolution layers
A Kronecker-factored approximate Fisher matrix for convolution layers
Roger C. Grosse
James Martens
ODL
407
287
0
03 Feb 2016
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain
  Adaptation
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Guosen Xie
Xu-Yao Zhang
Shuicheng Yan
Cheng-Lin Liu
ObjD
204
156
0
29 Jan 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
640
2,181
0
31 Dec 2015
Learning Local Image Descriptors with Deep Siamese and Triplet
  Convolutional Networks by Minimising Global Loss Functions
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
B. V. Kumar
G. Carneiro
Ian Reid
SSL
227
318
0
31 Dec 2015
Structured Pruning of Deep Convolutional Neural Networks
Structured Pruning of Deep Convolutional Neural Networks
S. Anwar
Kyuyeon Hwang
Wonyong Sung
338
789
0
29 Dec 2015
Visually Indicated Sounds
Visually Indicated Sounds
Andrew Owens
Phillip Isola
Josh H. McDermott
Antonio Torralba
Edward H. Adelson
William T. Freeman
369
408
0
28 Dec 2015
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
743
5,721
0
22 Dec 2015
Beyond Classification: Latent User Interests Profiling from Visual
  Contents Analysis
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis
Longqi Yang
C. Hsieh
D. Estrin
118
25
0
21 Dec 2015
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on
  Multiple Machines
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines
Huatian Zhang
Zhiting Hu
Jinliang Wei
P. Xie
Gunhee Kim
Qirong Ho
Eric Xing
GNN
130
49
0
19 Dec 2015
Can Pretrained Neural Networks Detect Anatomy?
Can Pretrained Neural Networks Detect Anatomy?
Vlado Menkovski
Zharko Aleksovski
A. Saalbach
H. Nickisch
MedIm
87
5
0
18 Dec 2015
Blockout: Dynamic Model Selection for Hierarchical Deep Networks
Blockout: Dynamic Model Selection for Hierarchical Deep Networks
Calvin Murdock
Zerui Li
Howard Zhou
Tom Duerig
OODBDL
155
51
0
16 Dec 2015
On Deep Representation Learning from Noisy Web Images
On Deep Representation Learning from Noisy Web Images
Phong D. Vo
A. Gînsca
Hervé Le Borgne
Adrian Daniel Popescu
SSLOOD
152
8
0
15 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.7K
217,813
0
10 Dec 2015
Speeding Up Distributed Machine Learning Using Codes
Speeding Up Distributed Machine Learning Using Codes
Kangwook Lee
Maximilian Lam
Ramtin Pedarsani
Dimitris Papailiopoulos
Kannan Ramchandran
405
902
0
08 Dec 2015
Fine-grained Image Classification by Exploring Bipartite-Graph Labels
Fine-grained Image Classification by Exploring Bipartite-Graph Labels
Feng Zhou
Yuanqing Lin
193
137
0
08 Dec 2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
1.4K
3,110
0
08 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
3.6K
33,505
0
08 Dec 2015
PatchBatch: a Batch Augmented Loss for Optical Flow
PatchBatch: a Batch Augmented Loss for Optical Flow
David Gadot
Lior Wolf
213
104
0
06 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for
  Heterogeneous Distributed Systems
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen
Mu Li
Yutian Li
Min Lin
Naiyan Wang
Minjie Wang
Tianjun Xiao
Bing Xu
Chiyuan Zhang
Zheng Zhang
312
2,305
0
03 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
1.8K
29,905
0
02 Dec 2015
Temporal Convolutional Neural Networks for Diagnosis from Lab Tests
Temporal Convolutional Neural Networks for Diagnosis from Lab Tests
N. Razavian
David Sontag
319
58
0
25 Nov 2015
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
532
108
0
24 Nov 2015
LocNet: Improving Localization Accuracy for Object Detection
LocNet: Improving Localization Accuracy for Object Detection
Spyros Gidaris
N. Komodakis
ObjD
264
147
0
24 Nov 2015
Where To Look: Focus Regions for Visual Question Answering
Where To Look: Focus Regions for Visual Question Answering
Kevin J. Shih
Saurabh Singh
Derek Hoiem
241
477
0
23 Nov 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
670
5,909
0
23 Nov 2015
Data-dependent Initializations of Convolutional Neural Networks
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krahenbuhl
Carl Doersch
Jeff Donahue
Trevor Darrell
VLM
332
206
0
21 Nov 2015
GradNets: Dynamic Interpolation Between Neural Architectures
GradNets: Dynamic Interpolation Between Neural Architectures
Diogo Almeida
Nate Sauder
AI4CEODL
98
3
0
21 Nov 2015
Adding Gradient Noise Improves Learning for Very Deep Networks
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan
Luke Vilnis
Quoc V. Le
Ilya Sutskever
Lukasz Kaiser
Karol Kurach
James Martens
AI4CEODL
264
570
0
21 Nov 2015
The Unreasonable Effectiveness of Noisy Data for Fine-Grained
  Recognition
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
J. Krause
Benjamin Sapp
Andrew Howard
Howard Zhou
Alexander Toshev
Tom Duerig
James Philbin
Fei-Fei Li
306
369
0
20 Nov 2015
Data-Dependent Path Normalization in Neural Networks
Data-Dependent Path Normalization in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Ruslan Salakhutdinov
Nathan Srebro
209
23
0
20 Nov 2015
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised
  Learning
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning
Natalia Neverova
Christian Wolf
Florian Nebout
Graham W. Taylor
MDE3DH
329
50
0
20 Nov 2015
Scalable Gradient-Based Tuning of Continuous Regularization
  Hyperparameters
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
Jelena Luketina
Mathias Berglund
Klaus Greff
T. Raiko
222
180
0
20 Nov 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power
  Mobile Applications
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim
Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
291
928
0
20 Nov 2015
On the energy landscape of deep networks
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
327
27
0
20 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
681
14,823
0
19 Nov 2015
Deconstructing the Ladder Network Architecture
Deconstructing the Ladder Network Architecture
Mohammad Pezeshki
Linxi Fan
Philemon Brakel
Aaron Courville
Yoshua Bengio
186
98
0
19 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
845
637
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
204
195
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
340
844
0
19 Nov 2015
Order Matters: Sequence to sequence for sets
Order Matters: Sequence to sequence for sets
Oriol Vinyals
Samy Bengio
M. Kudlur
BDL
519
1,001
0
19 Nov 2015
Unsupervised and Semi-supervised Learning with Categorical Generative
  Adversarial Networks
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg
GAN
214
769
0
19 Nov 2015
Manifold Regularized Deep Neural Networks using Adversarial Examples
Manifold Regularized Deep Neural Networks using Adversarial Examples
Taehoon Lee
Minsuk Choi
Sungroh Yoon
AAMLGANOOD
97
15
0
19 Nov 2015
Order-Embeddings of Images and Language
Order-Embeddings of Images and Language
Ivan Vendrov
Ryan Kiros
Sanja Fidler
R. Urtasun
392
576
0
19 Nov 2015
Online Batch Selection for Faster Training of Neural Networks
Online Batch Selection for Faster Training of Neural Networks
I. Loshchilov
Katharina Eggensperger
ODL
456
329
0
19 Nov 2015
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