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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 / 11,316 papers shown
Title
Auxiliary Task Reweighting for Minimum-data Learning
Auxiliary Task Reweighting for Minimum-data Learning
Baifeng Shi
Judy Hoffman
Kate Saenko
Trevor Darrell
Huijuan Xu
MoMe
69
33
0
16 Oct 2020
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment
  Analysis
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis
Sunny Verma
Jiwei Wang
Zhefeng Ge
Rujia Shen
Fan Jin
Yang Wang
Fang Chen
Wei Liu
53
20
0
16 Oct 2020
Representation Learning via Invariant Causal Mechanisms
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrović
Brian McWilliams
Jacob Walker
Lars Buesing
Charles Blundell
CMLOODSSL
87
252
0
15 Oct 2020
Deep Convolutional Neural Network-based Inverse Filtering Approach for
  Speech De-reverberation
Deep Convolutional Neural Network-based Inverse Filtering Approach for Speech De-reverberation
Hanwook Chung
Vikrant Singh Tomar
B. Champagne
50
8
0
15 Oct 2020
Where's the Question? A Multi-channel Deep Convolutional Neural Network
  for Question Identification in Textual Data
Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data
George Michalopoulos
Helen H. Chen
Alexander Wong
MedIm
36
1
0
15 Oct 2020
Does Data Augmentation Benefit from Split BatchNorms
Does Data Augmentation Benefit from Split BatchNorms
Amil Merchant
Barret Zoph
E. D. Cubuk
61
9
0
15 Oct 2020
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow
  Fields on Irregular Geometries
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries
Ali Kashefi
Davis Rempe
Leonidas Guibas
3DPCAI4CE
83
205
0
15 Oct 2020
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
P. Yuan
Shufei Lin
Cheng Cui
Yuning Du
Ruoyu Guo
Dongliang He
Errui Ding
Shumin Han
59
43
0
15 Oct 2020
Bi-GCN: Binary Graph Convolutional Network
Bi-GCN: Binary Graph Convolutional Network
Junfu Wang
Yunhong Wang
Zhen Yang
Liang Yang
Yuanfang Guo
GNN
70
57
0
15 Oct 2020
Unsupervised Self-training Algorithm Based on Deep Learning for Optical
  Aerial Images Change Detection
Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection
Yuan Zhou
Xiangrui Li
34
5
0
15 Oct 2020
Deep Learning in Ultrasound Elastography Imaging
Deep Learning in Ultrasound Elastography Imaging
Hongliang Li
Manish Bhatt
Zhen Qu
Shiming Zhang
Martin C. Hartel
A. Khademhosseini
G. Cloutier
38
0
0
14 Oct 2020
Temperature check: theory and practice for training models with
  softmax-cross-entropy losses
Temperature check: theory and practice for training models with softmax-cross-entropy losses
Atish Agarwala
Jeffrey Pennington
Yann N. Dauphin
S. Schoenholz
UQCV
67
34
0
14 Oct 2020
Towards Accurate Quantization and Pruning via Data-free Knowledge
  Transfer
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer
Chen Zhu
Zheng Xu
Ali Shafahi
Manli Shu
Amin Ghiasi
Tom Goldstein
MQ
66
3
0
14 Oct 2020
WeightAlign: Normalizing Activations by Weight Alignment
WeightAlign: Normalizing Activations by Weight Alignment
Xiangwei Shi
Yun-qiang Li
X. Liu
Jan van Gemert
46
0
0
14 Oct 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign
  Dropout
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen
Jiquan Ngiam
Yanping Huang
Thang Luong
Henrik Kretzschmar
Yuning Chai
Dragomir Anguelov
92
221
0
14 Oct 2020
A Very Compact Embedded CNN Processor Design Based on Logarithmic
  Computing
A Very Compact Embedded CNN Processor Design Based on Logarithmic Computing
Tsung-Ying Lu
Hsu-Hsun Chin
Hsin-I Wu
R. Tsay
MQ
47
1
0
13 Oct 2020
Video Action Understanding
Video Action Understanding
Matthew Hutchinson
V. Gadepally
126
22
0
13 Oct 2020
Accurate Calibration of Agent-based Epidemiological Models with Neural
  Network Surrogates
Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates
Rushil Anirudh
Jayaraman J. Thiagarajan
P. Bremer
T. Germann
S. D. Valle
F. Streitz
77
12
0
13 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
Günter Klambauer
Sepp Hochreiter
OOD
101
45
0
13 Oct 2020
Collaborative Video Object Segmentation by Multi-Scale
  Foreground-Background Integration
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration
Zongxin Yang
Yunchao Wei
Yi Yang
VOS
141
166
0
13 Oct 2020
DORi: Discovering Object Relationship for Moment Localization of a
  Natural-Language Query in Video
DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video
Cristian Rodriguez-Opazo
Edison Marrese-Taylor
Basura Fernando
Hongdong Li
Stephen Gould
205
10
0
13 Oct 2020
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image
  Segmentation on Unseen Datasets
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Shujun Wang
Lequan Yu
Kang Li
Xin Yang
Chi-Wing Fu
Pheng-Ann Heng
100
138
0
13 Oct 2020
Experimental Quantum Generative Adversarial Networks for Image
  Generation
Experimental Quantum Generative Adversarial Networks for Image Generation
Heliang Huang
Yuxuan Du
Mingming Gong
You-Wei Zhao
Yulin Wu
...
Chao Lu
Yu-Ao Chen
Dacheng Tao
Xiaobo Zhu
Jian-Wei Pan
GAN
91
183
0
13 Oct 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive
  Review
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi
T. Ahamed
Limon Barua
Bo Zou
AI4TS
69
18
0
13 Oct 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse
  Coding
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Yibo Yang
Hongyang Li
Shan You
Fei Wang
Chao Qian
Zhouchen Lin
63
60
0
13 Oct 2020
Checkerboard-Artifact-Free Image-Enhancement Network Considering Local
  and Global Features
Checkerboard-Artifact-Free Image-Enhancement Network Considering Local and Global Features
Yuma Kinoshita
Hitoshi Kiya
37
4
0
13 Oct 2020
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and
  Future Directions
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions
Royson Lee
Stylianos I. Venieris
Nicholas D. Lane
86
7
0
12 Oct 2020
Convolutional Neural Network optimization via Channel Reassessment
  Attention module
Convolutional Neural Network optimization via Channel Reassessment Attention module
YuTao Shen
Ying Wen
32
9
0
12 Oct 2020
Learning Selective Mutual Attention and Contrast for RGB-D Saliency
  Detection
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection
Nian Liu
Ni Zhang
Ling Shao
Junwei Han
104
99
0
12 Oct 2020
Increasing the Robustness of Semantic Segmentation Models with
  Painting-by-Numbers
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers
Christoph Kamann
Burkhard Güssefeld
Robin Hutmacher
J. H. Metzen
Carsten Rother
68
18
0
12 Oct 2020
Towards Expressive Graph Representation
Towards Expressive Graph Representation
Chengsheng Mao
Liang Yao
Yuan Luo
103
2
0
12 Oct 2020
LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis
LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis
Q. H. Cap
Hiroki Tani
H. Uga
S. Kagiwada
Hitoshi Iyatomi
18
25
0
12 Oct 2020
Locality Preserving Dense Graph Convolutional Networks with Graph
  Context-Aware Node Representations
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations
Wenfeng Liu
Maoguo Gong
Zedong Tang
•. A. K. Qin
GNN
83
15
0
12 Oct 2020
End to End Binarized Neural Networks for Text Classification
End to End Binarized Neural Networks for Text Classification
Harshil Jain
Akshat Agarwal
Kumar Shridhar
Denis Kleyko
MQ
79
27
0
11 Oct 2020
GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music
GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music
Qiuqiang Kong
Bochen Li
Jitong Chen
Yuxuan Wang
410
81
0
11 Oct 2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced
  Pairwise Tasks
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks
Stephen Mussmann
Robin Jia
Percy Liang
87
15
0
10 Oct 2020
Double Forward Propagation for Memorized Batch Normalization
Double Forward Propagation for Memorized Batch Normalization
Yong Guo
Qingyao Wu
Chaorui Deng
Jian Chen
Mingkui Tan
61
28
0
10 Oct 2020
Regularizing Neural Networks via Adversarial Model Perturbation
Regularizing Neural Networks via Adversarial Model Perturbation
Yaowei Zheng
Richong Zhang
Yongyi Mao
AAML
129
99
0
10 Oct 2020
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image
  Classification
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
Oren Nuriel
Sagie Benaim
Lior Wolf
90
91
0
09 Oct 2020
Physical invariance in neural networks for subgrid-scale scalar flux
  modeling
Physical invariance in neural networks for subgrid-scale scalar flux modeling
Hugo Frezat
G. Balarac
Julien Le Sommer
Ronan Fablet
Redouane Lguensat
AI4CE
88
44
0
09 Oct 2020
Dissecting Hessian: Understanding Common Structure of Hessian in Neural
  Networks
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks
Yikai Wu
Xingyu Zhu
Chenwei Wu
Annie Wang
Rong Ge
122
45
0
08 Oct 2020
Query-Key Normalization for Transformers
Query-Key Normalization for Transformers
Alex Henry
Prudhvi Raj Dachapally
S. Pawar
Yuxuan Chen
65
91
0
08 Oct 2020
No MCMC for me: Amortized sampling for fast and stable training of
  energy-based models
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
Will Grathwohl
Jacob Kelly
Milad Hashemi
Mohammad Norouzi
Kevin Swersky
David Duvenaud
138
72
0
08 Oct 2020
Predicting Mechanical Properties from Microstructure Images in
  Fiber-reinforced Polymers using Convolutional Neural Networks
Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks
Yixuan Sun
I. Hanhan
M. Sangid
Guang Lin
AI4CE
82
15
0
07 Oct 2020
Hierarchical Relational Inference
Hierarchical Relational Inference
Aleksandar Stanić
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
84
15
0
07 Oct 2020
Revisiting Batch Normalization for Improving Corruption Robustness
Revisiting Batch Normalization for Improving Corruption Robustness
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
125
83
0
07 Oct 2020
On the Evaluation of Generative Adversarial Networks By Discriminative
  Models
On the Evaluation of Generative Adversarial Networks By Discriminative Models
A. Torfi
Mohammadreza Beyki
Edward A. Fox
EGVM
116
7
0
07 Oct 2020
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Utku Evci
Yani Andrew Ioannou
Cem Keskin
Yann N. Dauphin
82
94
0
07 Oct 2020
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders
Benoit Gaujac
Ilya Feige
David Barber
DiffMBDL
64
0
0
07 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows
Improving Sequential Latent Variable Models with Autoregressive Flows
Joseph Marino
Lei Chen
Jiawei He
Stephan Mandt
BDLAI4TS
127
12
0
07 Oct 2020
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