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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 / 11,282 papers shown
Title
Hallucinating robots: Inferring Obstacle Distances from Partial Laser
  Measurements
Hallucinating robots: Inferring Obstacle Distances from Partial Laser Measurements
Jens Lundell
Francesco Verdoja
Ville Kyrki
34
7
0
31 May 2018
Robust Place Categorization with Deep Domain Generalization
Robust Place Categorization with Deep Domain Generalization
Massimiliano Mancini
Samuel Rota Buló
Barbara Caputo
Elisa Ricci
OOD
88
55
0
30 May 2018
RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules
  without Candidate Selection
RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection
Tian Lan
Yuanyuan Li
Jonah Kimani Murugi
Yi Ding
Zhiguang Qin
29
21
0
30 May 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
70
180
0
29 May 2018
How Does Batch Normalization Help Optimization?
How Does Batch Normalization Help Optimization?
Shibani Santurkar
Dimitris Tsipras
Andrew Ilyas
Aleksander Madry
ODL
160
1,552
0
29 May 2018
Rice Classification Using Spatio-Spectral Deep Convolutional Neural
  Network
Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network
I. Chatnuntawech
Kittipong Tantisantisom
P. Khanchaitit
T. Boonkoom
B. Bilgiç
Ekapol Chuangsuwanich
32
26
0
29 May 2018
Improved Mixed-Example Data Augmentation
Improved Mixed-Example Data Augmentation
Cecilia Summers
M. Dinneen
111
161
0
29 May 2018
Microscopy Cell Segmentation via Convolutional LSTM Networks
Microscopy Cell Segmentation via Convolutional LSTM Networks
Assaf Arbelle
Tammy Riklin-Raviv
79
74
0
29 May 2018
Lipschitz regularity of deep neural networks: analysis and efficient
  estimation
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Kevin Scaman
Aladin Virmaux
197
533
0
28 May 2018
Online Multi-Object Tracking with Historical Appearance Matching and
  Scene Adaptive Detection Filtering
Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering
Young-Chul Yoon
Abhijeet Boragule
Young-min Song
Kwangjin Yoon
M. Jeon
VOT
77
79
0
28 May 2018
Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout
Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout
Juho Lee
Saehoon Kim
Jaehong Yoon
Haebeom Lee
Eunho Yang
Sung Ju Hwang
55
12
0
28 May 2018
Sigsoftmax: Reanalysis of the Softmax Bottleneck
Sigsoftmax: Reanalysis of the Softmax Bottleneck
Sekitoshi Kanai
Yasuhiro Fujiwara
Yuki Yamanaka
S. Adachi
79
70
0
28 May 2018
Keep and Learn: Continual Learning by Constraining the Latent Space for
  Knowledge Preservation in Neural Networks
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Hyo-Eun Kim
Seungwook Kim
Jaehwan Lee
CLL
55
31
0
28 May 2018
Improving the Resolution of CNN Feature Maps Efficiently with
  Multisampling
Improving the Resolution of CNN Feature Maps Efficiently with Multisampling
Shayan Sadigh
P. Sen
SSL
29
3
0
28 May 2018
Learning Instance-Aware Object Detection Using Determinantal Point
  Processes
Learning Instance-Aware Object Detection Using Determinantal Point Processes
Nuri Kim
Donghoon Lee
Songhwai Oh
50
4
0
28 May 2018
Multi-region segmentation of bladder cancer structures in MRI with
  progressive dilated convolutional networks
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Jose Dolz
Xiaopan Xu
Jérôme Rony
Jing Yuan
Yang Liu
Eric Granger
Christian Desrosiers
Xi Zhang
Ismail Ben Ayed
Hongbing Lu
MedIm
93
80
0
28 May 2018
Defending Against Adversarial Attacks by Leveraging an Entire GAN
Defending Against Adversarial Attacks by Leveraging an Entire GAN
G. Santhanam
Paulina Grnarova
AAML
47
40
0
27 May 2018
Generative Adversarial Image Synthesis with Decision Tree Latent
  Controller
Generative Adversarial Image Synthesis with Decision Tree Latent Controller
Takuhiro Kaneko
Kaoru Hiramatsu
K. Kashino
89
25
0
27 May 2018
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of
  JPEG-Compressed Images
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images
Honggang Chen
Xiaohai He
L. Qing
Shuhua Xiong
Truong Thao Nguyen
73
48
0
27 May 2018
Automatic context window composition for distant speech recognition
Automatic context window composition for distant speech recognition
Mirco Ravanelli
M. Omologo
49
15
0
26 May 2018
Accelerating CNN inference on FPGAs: A Survey
Accelerating CNN inference on FPGAs: A Survey
K. Abdelouahab
Maxime Pelcat
Jocelyn Serot
F. Berry
AI4CE
53
149
0
26 May 2018
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid
  Pooling Networks
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks
Md. Mostafa Kamal Sarker
Hatem A. Rashwan
Farhan Akram
Syeda Furruka Banu
Adel Saleh
...
Forhad U. H. Chowdhury
Saddam Abdulwahab
S. Romaní
Petia Radeva
D. Puig
MedIm
78
146
0
25 May 2018
Scalable Methods for 8-bit Training of Neural Networks
Scalable Methods for 8-bit Training of Neural Networks
Ron Banner
Itay Hubara
Elad Hoffer
Daniel Soudry
MQ
94
342
0
25 May 2018
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners
  and Protocols
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols
Neerav Karani
K. Chaitanya
Christian F. Baumgartner
E. Konukoglu
100
120
0
25 May 2018
Object-Oriented Dynamics Predictor
Object-Oriented Dynamics Predictor
Guangxiang Zhu
Zhiao Huang
Chongjie Zhang
AI4CE
98
35
0
25 May 2018
Learning to Propagate Labels: Transductive Propagation Network for
  Few-shot Learning
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu
Juho Lee
Minseop Park
Saehoon Kim
Eunho Yang
Sung Ju Hwang
Yi Yang
124
671
0
25 May 2018
Learning from Multi-domain Artistic Images for Arbitrary Style Transfer
Learning from Multi-domain Artistic Images for Arbitrary Style Transfer
Zheng Xu
Michael J. Wilber
Chen Fang
Aaron Hertzmann
Hailin Jin
GANOOD
87
15
0
25 May 2018
Cooking State Recognition from Images Using Inception Architecture
Cooking State Recognition from Images Using Inception Architecture
Md Sirajus Salekin
Ahmad Babaeian Jelodar
Rafsanjany Kushol
45
17
0
25 May 2018
Image-to-image translation for cross-domain disentanglement
Image-to-image translation for cross-domain disentanglement
Abel Gonzalez-Garcia
Joost van de Weijer
Yoshua Bengio
DRL
103
243
0
24 May 2018
LF-Net: Learning Local Features from Images
LF-Net: Learning Local Features from Images
Y. Ono
Eduard Trulls
Pascal Fua
K. M. Yi
87
531
0
24 May 2018
Semi-supervised classification by reaching consensus among modalities
Semi-supervised classification by reaching consensus among modalities
Zining Zhu
Jekaterina Novikova
Frank Rudzicz
42
9
0
23 May 2018
SNIPER: Efficient Multi-Scale Training
SNIPER: Efficient Multi-Scale Training
Bharat Singh
Mahyar Najibi
L. Davis
ObjD
96
491
0
23 May 2018
Learning towards Minimum Hyperspherical Energy
Learning towards Minimum Hyperspherical Energy
Weiyang Liu
Rongmei Lin
Ziqiang Liu
Lixin Liu
Zhiding Yu
Bo Dai
Le Song
165
151
0
23 May 2018
Segmentation of Liver Lesions with Reduced Complexity Deep Models
Segmentation of Liver Lesions with Reduced Complexity Deep Models
R. Pandey
Aswin Vasan
A. G. Ramakrishnan
SSegMedIm
71
14
0
23 May 2018
Towards the first adversarially robust neural network model on MNIST
Towards the first adversarially robust neural network model on MNIST
Lukas Schott
Jonas Rauber
Matthias Bethge
Wieland Brendel
AAMLOOD
91
370
0
23 May 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OODMLT
184
1,334
0
23 May 2018
3D Human Pose Estimation with Relational Networks
3D Human Pose Estimation with Relational Networks
Sungheon Park
Nojun Kwak
3DH
79
31
0
23 May 2018
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization
Bruno Lecouat
Chuan-Sheng Foo
Houssam Zenati
V. Chandrasekhar
GAN
61
31
0
23 May 2018
AffinityNet: semi-supervised few-shot learning for disease type
  prediction
AffinityNet: semi-supervised few-shot learning for disease type prediction
Tianle Ma
A. Zhang
78
55
0
22 May 2018
Sparse Binary Compression: Towards Distributed Deep Learning with
  minimal Communication
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
68
216
0
22 May 2018
Self-supervised Multi-view Person Association and Its Applications
Self-supervised Multi-view Person Association and Its Applications
Minh Vo
Ersin Yumer
Kalyan Sunkavalli
Sunil Hadap
Yaser Sheikh
S. Narasimhan
69
26
0
22 May 2018
Multimodal Affective Analysis Using Hierarchical Attention Strategy with
  Word-Level Alignment
Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment
Yue Gu
Kangning Yang
Shiyu Fu
Shuhong Chen
Xinyu Li
I. Marsic
67
125
0
22 May 2018
Robust Conditional Generative Adversarial Networks
Robust Conditional Generative Adversarial Networks
Grigorios G. Chrysos
Jean Kossaifi
Stefanos Zafeiriou
GAN
90
30
0
22 May 2018
Blind Predicting Similar Quality Map for Image Quality Assessment
Blind Predicting Similar Quality Map for Image Quality Assessment
Da Pan
Ping Shi
Ming-rui Hou
Zefeng Ying
Sizhe Fu
Yuan Zhang
66
104
0
22 May 2018
Classification Uncertainty of Deep Neural Networks Based on Gradient
  Information
Classification Uncertainty of Deep Neural Networks Based on Gradient Information
Philipp Oberdiek
Matthias Rottmann
Hanno Gottschalk
UQCV
68
64
0
22 May 2018
Adapted Deep Embeddings: A Synthesis of Methods for $k$-Shot Inductive
  Transfer Learning
Adapted Deep Embeddings: A Synthesis of Methods for kkk-Shot Inductive Transfer Learning
Tyler R. Scott
Karl Ridgeway
Michael C. Mozer
111
84
0
22 May 2018
Learning long-range spatial dependencies with horizontal gated-recurrent
  units
Learning long-range spatial dependencies with horizontal gated-recurrent units
Drew Linsley
Junkyung Kim
Vijay Veerabadran
Thomas Serre
82
160
0
21 May 2018
Measuring and regularizing networks in function space
Measuring and regularizing networks in function space
Ari S. Benjamin
David Rolnick
Konrad Paul Kording
93
140
0
21 May 2018
Adversarial Noise Layer: Regularize Neural Network By Adding Noise
Adversarial Noise Layer: Regularize Neural Network By Adding Noise
Zhonghui You
Jinmian Ye
Kunming Li
Zenglin Xu
Ping Wang
89
77
0
21 May 2018
Batch-Instance Normalization for Adaptively Style-Invariant Neural
  Networks
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
Hyeonseob Nam
Hyo-Eun Kim
OOD
72
211
0
21 May 2018
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