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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 / 13,251 papers shown
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
340
845
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
533
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
414
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
459
329
0
19 Nov 2015
Neural network-based clustering using pairwise constraints
Neural network-based clustering using pairwise constraints
Yen-Chang Hsu
Z. Kira
365
85
0
19 Nov 2015
Robust Convolutional Neural Networks under Adversarial Noise
Robust Convolutional Neural Networks under Adversarial Noise
Jonghoon Jin
Aysegül Dündar
Eugenio Culurciello
144
78
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
147
14
0
19 Nov 2015
Learning Deep Structure-Preserving Image-Text Embeddings
Learning Deep Structure-Preserving Image-Text Embeddings
Liwei Wang
Yin Li
Svetlana Lazebnik
483
822
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
383
440
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
266
486
0
19 Nov 2015
Metric Learning with Adaptive Density Discrimination
Metric Learning with Adaptive Density Discrimination
Oren Rippel
Manohar Paluri
Piotr Dollar
Lubomir D. Bourdev
168
218
0
18 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
178
334
0
18 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
442
2,341
0
18 Nov 2015
Net2Net: Accelerating Learning via Knowledge Transfer
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
562
707
0
18 Nov 2015
Competitive Multi-scale Convolution
Competitive Multi-scale Convolution
Zhibin Liao
G. Carneiro
162
45
0
18 Nov 2015
Return of Frustratingly Easy Domain Adaptation
Return of Frustratingly Easy Domain Adaptation
Baochen Sun
Jiashi Feng
Kate Saenko
OOD
228
1,976
0
17 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
381
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
186
103
0
16 Nov 2015
Deep Linear Discriminant Analysis
Deep Linear Discriminant Analysis
Matthias Dorfer
Rainer Kelz
Gerhard Widmer
470
147
0
15 Nov 2015
Uncovering Temporal Context for Video Question and Answering
Uncovering Temporal Context for Video Question and Answering
Linchao Zhu
Zhongwen Xu
Yi Yang
Alexander G. Hauptmann
BDL
168
45
0
15 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
208
50
0
14 Nov 2015
Efficient Training of Very Deep Neural Networks for Supervised Hashing
Efficient Training of Very Deep Neural Networks for Supervised Hashing
Ziming Zhang
Yuting Chen
Venkatesh Saligrama
226
8
0
14 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
179
95
0
13 Nov 2015
Representational Distance Learning for Deep Neural Networks
Representational Distance Learning for Deep Neural Networks
Patrick McClure
N. Kriegeskorte
209
50
0
12 Nov 2015
Grounding of Textual Phrases in Images by Reconstruction
Grounding of Textual Phrases in Images by Reconstruction
Anna Rohrbach
Marcus Rohrbach
Ronghang Hu
Trevor Darrell
Bernt Schiele
387
511
0
12 Nov 2015
Hierarchical Recurrent Neural Encoder for Video Representation with
  Application to Captioning
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
Pingbo Pan
Zhongwen Xu
Yi Yang
Leilei Gan
Yueting Zhuang
174
393
0
11 Nov 2015
TemplateNet for Depth-Based Object Instance Recognition
TemplateNet for Depth-Based Object Instance Recognition
Ujwal D. Bonde
Vijay Badrinarayanan
R. Cipolla
Minh-Tri Pham
93
1
0
10 Nov 2015
Learning with a Strong Adversary
Learning with a Strong Adversary
Ruitong Huang
Bing Xu
Dale Schuurmans
Csaba Szepesvári
AAML
420
370
0
10 Nov 2015
Traffic Sign Classification Using Deep Inception Based Convolutional
  Networks
Traffic Sign Classification Using Deep Inception Based Convolutional Networks
Mrinal Haloi
138
43
0
10 Nov 2015
Detecting events and key actors in multi-person videos
Detecting events and key actors in multi-person videos
Vignesh Ramanathan
Jonathan Huang
Sami Abu-El-Haija
Alexander N. Gorban
Kevin Patrick Murphy
Li Fei-Fei
217
215
0
09 Nov 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder
  Architectures for Scene Understanding
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCVBDL
238
1,115
0
09 Nov 2015
Batch-normalized Maxout Network in Network
Batch-normalized Maxout Network in Network
Jia-Ren Chang
Yonghao Chen
OOD
158
110
0
09 Nov 2015
How far can we go without convolution: Improving fully-connected
  networks
How far can we go without convolution: Improving fully-connected networks
Zhouhan Lin
Roland Memisevic
K. Konda
160
56
0
09 Nov 2015
Symmetry-invariant optimization in deep networks
Symmetry-invariant optimization in deep networks
Vijay Badrinarayanan
Bamdev Mishra
R. Cipolla
ODL
251
35
0
05 Nov 2015
Detecting Interrogative Utterances with Recurrent Neural Networks
Detecting Interrogative Utterances with Recurrent Neural Networks
Junyoung Chung
Jacob Devlin
Hany Awadalla
113
0
0
03 Nov 2015
Understanding symmetries in deep networks
Understanding symmetries in deep networks
Vijay Badrinarayanan
Bamdev Mishra
R. Cipolla
510
43
0
03 Nov 2015
The Variational Fair Autoencoder
The Variational Fair Autoencoder
Christos Louizos
Kevin Swersky
Yujia Li
Max Welling
R. Zemel
DRL
885
660
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
2.0K
17,357
0
02 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
653
3,138
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
366
309
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
294
187
0
17 Oct 2015
Improving Back-Propagation by Adding an Adversarial Gradient
Improving Back-Propagation by Adding an Adversarial Gradient
Arild Nøkland
AAML
135
32
0
14 Oct 2015
Better Exploiting OS-CNNs for Better Event Recognition in Images
Better Exploiting OS-CNNs for Better Event Recognition in Images
Limin Wang
Zhe Wang
Sheng Guo
Yu Qiao
136
24
0
14 Oct 2015
Batch Normalized Recurrent Neural Networks
Batch Normalized Recurrent Neural Networks
César Laurent
Gabriel Pereyra
Philemon Brakel
Yanzhe Zhang
Yoshua Bengio
179
217
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
287
1,200
0
02 Oct 2015
Fast Algorithms for Convolutional Neural Networks
Fast Algorithms for Convolutional Neural Networks
Andrew Lavin
Scott Gray
238
928
0
30 Sep 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
1.3K
3,552
0
30 Sep 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
AI4CE
275
508
0
30 Sep 2015
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