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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 / 11,273 papers shown
Title
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using
  a View-based Representation
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation
Sai Rajeswar
Fahim Mannan
Florian Golemo
Jérôme Parent-Lévesque
David Vazquez
Derek Nowrouzezahrai
Aaron Courville
3DV
79
11
0
23 Mar 2020
TanhExp: A Smooth Activation Function with High Convergence Speed for
  Lightweight Neural Networks
TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks
Xinyu Liu
Xiaoguang Di
77
61
0
22 Mar 2020
Investigating Image Applications Based on Spatial-Frequency Transform
  and Deep Learning Techniques
Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques
Qinkai Zheng
Han Qiu
G. Memmi
Isabelle Bloch
32
0
0
20 Mar 2020
Selecting Relevant Features from a Multi-domain Representation for
  Few-shot Classification
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
231
24
0
20 Mar 2020
DNN-based Localization from Channel Estimates: Feature Design and
  Experimental Results
DNN-based Localization from Channel Estimates: Feature Design and Experimental Results
Paul Ferrand
Alexis Decurninge
M. Guillaud
55
41
0
20 Mar 2020
Few-Shot Learning with Geometric Constraints
Few-Shot Learning with Geometric Constraints
Hong G Jung
Seong-Whan Lee
73
49
0
20 Mar 2020
Event-based Asynchronous Sparse Convolutional Networks
Event-based Asynchronous Sparse Convolutional Networks
Nico Messikommer
Daniel Gehrig
Antonio Loquercio
Davide Scaramuzza
67
153
0
20 Mar 2020
Affinity Graph Supervision for Visual Recognition
Affinity Graph Supervision for Visual Recognition
Chu Wang
Babak Samari
Vladimir G. Kim
S. Chaudhuri
Kaleem Siddiqi
GNN
59
8
0
19 Mar 2020
DELTAS: Depth Estimation by Learning Triangulation And densification of
  Sparse points
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points
Ayan Sinha
Zak Murez
James Bartolozzi
Vijay Badrinarayanan
Andrew Rabinovich
3DV3DPC
53
3
0
19 Mar 2020
Normalized and Geometry-Aware Self-Attention Network for Image
  Captioning
Normalized and Geometry-Aware Self-Attention Network for Image Captioning
Longteng Guo
Jing Liu
Xinxin Zhu
Peng Yao
Shichen Lu
Hanqing Lu
ViT
208
192
0
19 Mar 2020
Photo-Realistic Video Prediction on Natural Videos of Largely Changing
  Frames
Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames
O. Shouno
GAN
88
21
0
19 Mar 2020
Ensemble learning in CNN augmented with fully connected subnetworks
Ensemble learning in CNN augmented with fully connected subnetworks
Daiki Hirata
Norikazu Takahashi
OOD
59
26
0
19 Mar 2020
A Metric Learning Reality Check
A Metric Learning Reality Check
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
190
479
0
18 Mar 2020
Unsupervised Hierarchical Graph Representation Learning by Mutual
  Information Maximization
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
Fei Ding
Xiaohong Zhang
Justin Sybrandt
Ilya Safro
SSL
29
6
0
18 Mar 2020
Multi-View Optimization of Local Feature Geometry
Multi-View Optimization of Local Feature Geometry
Mihai Dusmanu
Johannes L. Schonberger
Marc Pollefeys
130
37
0
18 Mar 2020
Collaborative Video Object Segmentation by Foreground-Background
  Integration
Collaborative Video Object Segmentation by Foreground-Background Integration
Zongxin Yang
Yunchao Wei
Yi Yang
VOS
170
258
0
18 Mar 2020
J$\hat{\text{A}}$A-Net: Joint Facial Action Unit Detection and Face
  Alignment via Adaptive Attention
JA^\hat{\text{A}}A^A-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention
Zhiwen Shao
Zhilei Liu
Jianfei Cai
Lizhuang Ma
CVBM
88
139
0
18 Mar 2020
High-Order Information Matters: Learning Relation and Topology for
  Occluded Person Re-Identification
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
Guanán Wang
Shuo Yang
Huanyu Liu
Zhicheng Wang
Yang Yang
Shuliang Wang
Gang Yu
Erjin Zhou
Jian Sun
131
379
0
18 Mar 2020
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from
  Single-View Images
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
Hang Zhou
Jihao Liu
Ziwei Liu
Yu Liu
Xiaogang Wang
CVBM3DH
74
105
0
18 Mar 2020
OpenGAN: Open Set Generative Adversarial Networks
OpenGAN: Open Set Generative Adversarial Networks
Luke Ditria
Benjamin J. Meyer
Tom Drummond
VLMAI4CEGAN
134
21
0
18 Mar 2020
Multi-task Learning with Coarse Priors for Robust Part-aware Person
  Re-identification
Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification
Changxing Ding
Kan Wang
Pengfei Wang
Dacheng Tao
108
65
0
18 Mar 2020
Differential Treatment for Stuff and Things: A Simple Unsupervised
  Domain Adaptation Method for Semantic Segmentation
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
Zhonghao Wang
Mo Yu
Yunchao Wei
Rogerio Feris
Jinjun Xiong
Wen-mei W. Hwu
Thomas S. Huang
Humphrey Shi
OOD
288
234
0
18 Mar 2020
Learning Nonlinear Loop Invariants with Gated Continuous Logic Networks
  (Extended Version)
Learning Nonlinear Loop Invariants with Gated Continuous Logic Networks (Extended Version)
Jianan Yao
Gabriel Ryan
Justin Wong
Suman Jana
Ronghui Gu
AI4CE
66
49
0
17 Mar 2020
3D medical image segmentation with labeled and unlabeled data using
  autoencoders at the example of liver segmentation in CT images
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images
Cheryl Sital
T. Brosch
Dominique Tio
A. Raaijmakers
J. Weese
44
4
0
17 Mar 2020
Generating Electronic Health Records with Multiple Data Types and
  Constraints
Generating Electronic Health Records with Multiple Data Types and Constraints
Chao Yan
Ziqi Zhang
Steve Nyemba
B. Malin
SyDa
68
35
0
17 Mar 2020
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Huiyu Wang
Yukun Zhu
Bradley Green
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
3DPC
155
676
0
17 Mar 2020
Blur, Noise, and Compression Robust Generative Adversarial Networks
Blur, Noise, and Compression Robust Generative Adversarial Networks
Takuhiro Kaneko
Tatsuya Harada
94
17
0
17 Mar 2020
PowerNorm: Rethinking Batch Normalization in Transformers
PowerNorm: Rethinking Batch Normalization in Transformers
Sheng Shen
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
BDL
120
16
0
17 Mar 2020
Geometric Approaches to Increase the Expressivity of Deep Neural
  Networks for MR Reconstruction
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction
Eunju Cha
Gyutaek Oh
J. C. Ye
113
12
0
17 Mar 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Yuhang Li
Wei Wang
Haoli Bai
Ruihao Gong
Xin Dong
F. Yu
MQ
56
21
0
17 Mar 2020
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks
  by Weights Flipping
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping
Jiaxiong Qiu
Cai Chen
Shuaicheng Liu
B. Zeng
121
41
0
16 Mar 2020
Object-Centric Image Generation from Layouts
Object-Centric Image Generation from Layouts
Tristan Sylvain
Pengchuan Zhang
Yoshua Bengio
R. Devon Hjelm
Shikhar Sharma
EGVMOCL
159
102
0
16 Mar 2020
Resolution Adaptive Networks for Efficient Inference
Resolution Adaptive Networks for Efficient Inference
Le Yang
Yizeng Han
Xi Chen
Shiji Song
Jifeng Dai
Gao Huang
121
220
0
16 Mar 2020
Adapting Object Detectors with Conditional Domain Normalization
Adapting Object Detectors with Conditional Domain Normalization
Peng Su
Kun Wang
Xingyu Zeng
Shixiang Tang
Dapeng Chen
Di Qiu
Xiaogang Wang
196
86
0
16 Mar 2020
Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
Cho-Ying Wu
Ulrich Neumann
3DV
136
9
0
15 Mar 2020
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
A. Osokin
Denis Sumin
V. Lomakin
ObjD
163
58
0
15 Mar 2020
LCP: A Low-Communication Parallelization Method for Fast Neural Network
  Inference in Image Recognition
LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference in Image Recognition
Ramyad Hadidi
Bahar Asgari
Jiashen Cao
Younmin Bae
Da Eun Shim
Hyojong Kim
Sung-Kyu Lim
Michael S. Ryoo
Hyesoon Kim
51
1
0
13 Mar 2020
Mass Estimation of Galaxy Clusters with Deep Learning I:
  Sunyaev-Zel'dovich Effect
Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel'dovich Effect
N. Gupta
C. Reichardt
77
14
0
13 Mar 2020
Interaction Graphs for Object Importance Estimation in On-road Driving
  Videos
Interaction Graphs for Object Importance Estimation in On-road Driving Videos
Zehua Zhang
Ashish Tawari
Sujitha Martin
David J. Crandall
GNNFAtt
145
23
0
12 Mar 2020
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in
  Self-Play?
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
Hui Wang
M. Emmerich
Mike Preuss
Aske Plaat
40
8
0
12 Mar 2020
Conditional Convolutions for Instance Segmentation
Conditional Convolutions for Instance Segmentation
Zhi Tian
Chunhua Shen
Hao Chen
ISeg
302
619
0
12 Mar 2020
Highly Efficient Salient Object Detection with 100K Parameters
Highly Efficient Salient Object Detection with 100K Parameters
Shanghua Gao
Yong-qiang Tan
Ming-Ming Cheng
Chengze Lu
Yunpeng Chen
Shuicheng Yan
311
172
0
12 Mar 2020
Encoder-Decoder Based Convolutional Neural Networks with
  Multi-Scale-Aware Modules for Crowd Counting
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
Pongpisit Thanasutives
Ken-ichi Fukui
M. Numao
B. Kijsirikul
151
65
0
12 Mar 2020
Extended Batch Normalization
Extended Batch Normalization
Chunjie Luo
Jianfeng Zhan
Lei Wang
Wanling Gao
134
14
0
12 Mar 2020
A Graph Attention Spatio-temporal Convolutional Network for 3D Human
  Pose Estimation in Video
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
Junfa Liu
Juan Rojas
Zhijun Liang
Yihui Li
Yisheng Guang
3DH
110
15
0
11 Mar 2020
Compressing deep neural networks on FPGAs to binary and ternary
  precision with HLS4ML
Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML
G. D. Guglielmo
Javier Mauricio Duarte
Philip C. Harris
Duc Hoang
S. Jindariani
...
D. Rankin
Sheila Sagear
S. Summers
N. Tran
Zhenbin Wu
MQ
78
89
0
11 Mar 2020
Improving the Backpropagation Algorithm with Consequentialism Weight
  Updates over Mini-Batches
Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches
Naeem Paeedeh
Kamaledin Ghiasi-Shirazi
ODL
62
8
0
11 Mar 2020
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality
  Assurance Methodology
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Stefan Studer
T. Bui
C. Drescher
A. Hanuschkin
Ludwig Winkler
S. Peters
Klaus-Robert Muller
133
181
0
11 Mar 2020
ReZero is All You Need: Fast Convergence at Large Depth
ReZero is All You Need: Fast Convergence at Large Depth
Thomas C. Bachlechner
Bodhisattwa Prasad Majumder
H. H. Mao
G. Cottrell
Julian McAuley
AI4CE
110
283
0
10 Mar 2020
Deep Hough Transform for Semantic Line Detection
Deep Hough Transform for Semantic Line Detection
Kai Zhao
Qi Han
Chang-Bin Zhang
Jun Xu
Mingg-Ming Cheng
102
181
0
10 Mar 2020
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