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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 / 11,320 papers shown
Title
CNN+LSTM Architecture for Speech Emotion Recognition with Data
  Augmentation
CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation
Caroline Etienne
Guillaume Fidanza
Andrei Petrovskii
Laurence Devillers
B. Schmauch
80
102
0
15 Feb 2018
A Progressive Batching L-BFGS Method for Machine Learning
A Progressive Batching L-BFGS Method for Machine Learning
Raghu Bollapragada
Dheevatsa Mudigere
J. Nocedal
Hao-Jun Michael Shi
P. T. P. Tang
ODL
114
153
0
15 Feb 2018
Stronger generalization bounds for deep nets via a compression approach
Stronger generalization bounds for deep nets via a compression approach
Sanjeev Arora
Rong Ge
Behnam Neyshabur
Yi Zhang
MLTAI4CE
199
643
0
14 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping
  Transformations
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Arash Vahdat
W. Macready
Zhengbing Bian
Amir Khoshaman
Evgeny Andriyash
103
76
0
14 Feb 2018
Web-Scale Responsive Visual Search at Bing
Web-Scale Responsive Visual Search at Bing
Houdong Hu
Yan Wang
Linjun Yang
Pavel Komlev
Li Huang
Xi Chen
Jiapei Huang
Ye Wu
Meenaz Merchant
Arun Sacheti
VLM
153
63
0
14 Feb 2018
Uncertainty Estimation via Stochastic Batch Normalization
Uncertainty Estimation via Stochastic Batch Normalization
Andrei Atanov
Arsenii Ashukha
Dmitry Molchanov
Kirill Neklyudov
Dmitry Vetrov
UQCVBDL
73
47
0
13 Feb 2018
Satellite Image Forgery Detection and Localization Using GAN and
  One-Class Classifier
Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier
S. Yarlagadda
David Guera
Paolo Bestagini
Fengqing Zhu
Stefano Tubaro
Edward J. Delp
65
60
0
13 Feb 2018
Deep Predictive Coding Network for Object Recognition
Deep Predictive Coding Network for Object Recognition
Haiguang Wen
Kuan Han
Junxing Shi
Yizhen Zhang
Eugenio Culurciello
Zhongming Liu
60
84
0
13 Feb 2018
BIRNet: Brain Image Registration Using Dual-Supervised Fully
  Convolutional Networks
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks
Jingfan Fan
Xiaohuan Cao
P. Yap
Dinggang Shen
69
254
0
13 Feb 2018
Training and Inference with Integers in Deep Neural Networks
Training and Inference with Integers in Deep Neural Networks
Shuang Wu
Guoqi Li
F. Chen
Luping Shi
MQ
86
391
0
13 Feb 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks
  by Backdooring
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Yossi Adi
Carsten Baum
Moustapha Cissé
Benny Pinkas
Joseph Keshet
136
686
0
13 Feb 2018
Automatic localization and decoding of honeybee markers using deep
  convolutional neural networks
Automatic localization and decoding of honeybee markers using deep convolutional neural networks
Benjamin Wild
Leon Sixt
Tim Landgraf
54
22
0
13 Feb 2018
Neural Tensor Factorization
Neural Tensor Factorization
X. Wu
Baoxu Shi
Yuxiao Dong
Chao Huang
Nitesh Chawla
25
19
0
13 Feb 2018
Learning a Neural-network-based Representation for Open Set Recognition
Learning a Neural-network-based Representation for Open Set Recognition
Mehadi Hassen
P. Chan
65
116
0
12 Feb 2018
One Deep Music Representation to Rule Them All? : A comparative analysis
  of different representation learning strategies
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies
Jaehun Kim
Julián Urbano
Cynthia C. S. Liem
Alan Hanjalic
174
47
0
12 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation
  Invariance for Deep Neural Networks
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
Yusuke Tsuzuku
Issei Sato
Masashi Sugiyama
AAML
152
309
0
12 Feb 2018
Context-Aware Learning using Transferable Features for Classification of
  Breast Cancer Histology Images
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images
Ruqayya Awan
Navid Alemi Koohbanani
Muhammad Shaban
A. Lisowska
Nasir M. Rajpoot
77
62
0
12 Feb 2018
Recovering Loss to Followup Information Using Denoising Autoencoders
Recovering Loss to Followup Information Using Denoising Autoencoders
Lovedeep Gondara
Ke Wang
48
19
0
12 Feb 2018
On Kernel Method-Based Connectionist Models and Supervised Deep Learning
  Without Backpropagation
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation
Shiyu Duan
Shujian Yu
Yunmei Chen
José C. Príncipe
52
16
0
11 Feb 2018
Learning Deep Convolutional Networks for Demosaicing
Learning Deep Convolutional Networks for Demosaicing
Nai-Sheng Syu
Yu-Sheng Chen
Yung-Yu Chuang
64
74
0
11 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
Zheng Qin
Zhaoning Zhang
Xiaotao Chen
Yuxing Peng
MQ
73
104
0
11 Feb 2018
$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively
  Scale-Invariant Space
G\mathcal{G}G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
Qi Meng
Shuxin Zheng
Huishuai Zhang
Wei Chen
Zhi-Ming Ma
Tie-Yan Liu
133
39
0
11 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU
  Neural Networks
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
Yukun Ding
Jinglan Liu
Jinjun Xiong
Yiyu Shi
MQ
120
21
0
10 Feb 2018
Optimize transfer learning for lung diseases in bronchoscopy using a new
  concept: sequential fine-tuning
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning
T. Tan
Zhang Li
Haixia Liu
Ping Liu
Wenfang Tang
...
Huiming Ying
Q. Ouyang
Yuling Tang
Zheyu Hu
Qiang Li
LM&MA
44
55
0
10 Feb 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
234
2,028
0
10 Feb 2018
Online Learning for Effort Reduction in Interactive Neural Machine
  Translation
Online Learning for Effort Reduction in Interactive Neural Machine Translation
Álvaro Peris
F. Casacuberta
83
49
0
10 Feb 2018
Joint Learning for Pulmonary Nodule Segmentation, Attributes and
  Malignancy Prediction
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction
Botong Wu
Zhen Zhou
Jianwei Wang
Yizhou Wang
72
120
0
10 Feb 2018
Tubule segmentation of fluorescence microscopy images based on
  convolutional neural networks with inhomogeneity correction
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction
Soonam Lee
Chichen Fu
P. Salama
K. Dunn
Edward J. Delp
31
13
0
10 Feb 2018
Local Contrast Learning
Local Contrast Learning
Chuanyun Xu
Yang Zhang
Xin Feng
Yongxin Ge
Yihao Zhang
Jianwu Long
40
0
0
10 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
157
1,351
0
10 Feb 2018
Certified Robustness to Adversarial Examples with Differential Privacy
Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lécuyer
Vaggelis Atlidakis
Roxana Geambasu
Daniel J. Hsu
Suman Jana
SILMAAML
194
940
0
09 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
243
2,777
0
09 Feb 2018
Learning Robust Options
Learning Robust Options
D. Mankowitz
Timothy A. Mann
Pierre-Luc Bacon
Doina Precup
Shie Mannor
85
48
0
09 Feb 2018
Deep Private-Feature Extraction
Deep Private-Feature Extraction
S. A. Ossia
A. Taheri
Ali Shahin Shamsabadi
Kleomenis Katevas
Hamed Haddadi
Hamid R. Rabiee
70
96
0
09 Feb 2018
Batch Kalman Normalization: Towards Training Deep Neural Networks with
  Micro-Batches
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches
Guangrun Wang
Jiefeng Peng
Ping Luo
Xinjiang Wang
Liang Lin
100
18
0
09 Feb 2018
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Abhronil Sengupta
Yuting Ye
Robert Y. Wang
Chiao Liu
Kaushik Roy
126
1,014
0
07 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
603
13,279
0
07 Feb 2018
ShakeDrop Regularization for Deep Residual Learning
ShakeDrop Regularization for Deep Residual Learning
Yoshihiro Yamada
Masakazu Iwamura
Takuya Akiba
K. Kise
121
165
0
07 Feb 2018
Granger-causal Attentive Mixtures of Experts: Learning Important
  Features with Neural Networks
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
Patrick Schwab
Djordje Miladinovic
W. Karlen
CML
136
57
0
06 Feb 2018
Deep Inference of Personality Traits by Integrating Image and Word Use
  in Social Networks
Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks
Guillem Cucurull
Pau Rodríguez López
V. O. Yazici
J. M. Gonfaus
F. X. Roca
Jordi Gonzalez
DiffM
35
7
0
06 Feb 2018
Face Detection Using Improved Faster RCNN
Face Detection Using Improved Faster RCNN
Changzheng Zhang
Xiang Xu
Dandan Tu
CVBMObjD
61
74
0
06 Feb 2018
On the Feasibility of Generic Deep Disaggregation for Single-Load
  Extraction
On the Feasibility of Generic Deep Disaggregation for Single-Load Extraction
Karim Barsim
Binh Yang
49
46
0
05 Feb 2018
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT
  Devices
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices
Ramyad Hadidi
Jiashen Cao
M. Woodward
Michael S. Ryoo
Hyesoon Kim
71
34
0
05 Feb 2018
Face Destylization
Face Destylization
Fatemeh Shiri
Xin-Yao Yu
Fatih Porikli
Piotr Koniusz
CVBM
101
14
0
05 Feb 2018
Hierarchical Adversarially Learned Inference
Hierarchical Adversarially Learned Inference
Mohamed Ishmael Belghazi
Sai Rajeswar
Olivier Mastropietro
Negar Rostamzadeh
Jovana Mitrović
Aaron Courville
GANBDL
90
29
0
04 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While
  Learning Next to Nothing
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld
John K. Tsotsos
MLT
82
52
0
02 Feb 2018
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep
  Auto-Encoder Representations
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations
Çağlar Aytekin
Xingyang Ni
Francesco Cricri
Emre B. Aksu
SSLUQCV
75
146
0
01 Feb 2018
Alternating Multi-bit Quantization for Recurrent Neural Networks
Alternating Multi-bit Quantization for Recurrent Neural Networks
Chen Xu
Jianqiang Yao
Zhouchen Lin
Wenwu Ou
Yuanbin Cao
Zhirong Wang
H. Zha
MQ
97
116
0
01 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel
  Pruning of Convolution Layers
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye
Xin Lu
Zhe Lin
Jianmin Wang
126
408
0
01 Feb 2018
Cross-domain CNN for Hyperspectral Image Classification
Cross-domain CNN for Hyperspectral Image Classification
Hyungtae Lee
Sungmin Eum
H. Kwon
45
21
0
31 Jan 2018
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