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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 / 11,178 papers shown
Title
Video Representation Learning by Dense Predictive Coding
Video Representation Learning by Dense Predictive Coding
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
115
361
0
10 Sep 2019
Towards Understanding the Importance of Shortcut Connections in Residual
  Networks
Towards Understanding the Importance of Shortcut Connections in Residual Networks
Tianyi Liu
Minshuo Chen
Mo Zhou
S. Du
Enlu Zhou
T. Zhao
49
45
0
10 Sep 2019
Cross-X Learning for Fine-Grained Visual Categorization
Cross-X Learning for Fine-Grained Visual Categorization
W. Luo
Xitong Yang
Xianjie Mo
Yuheng Lu
L. Davis
Jun Li
Jian Yang
Ser-Nam Lim
143
196
0
10 Sep 2019
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with
  Pixel-Wise Task-Specific Filters for UHD HDR Video
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video
Seunggeun Kim
Jihyong Oh
Munchurl Kim
84
79
0
10 Sep 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning
PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu
Yuwei Li
Lihua Guo
Kui Jia
75
88
0
10 Sep 2019
Understanding the Effects of Pre-Training for Object Detectors via
  Eigenspectrum
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
Yosuke Shinya
E. Simo-Serra
Taiji Suzuki
48
12
0
09 Sep 2019
A Wide and Deep Neural Network for Survival Analysis from Anatomical
  Shape and Tabular Clinical Data
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data
Sebastian Polsterl
Ignacio Sarasua
B. Gutiérrez-Becker
Christian Wachinger
39
30
0
09 Sep 2019
Robust Multi-Modality Multi-Object Tracking
Robust Multi-Modality Multi-Object Tracking
Wenwei Zhang
Hui Zhou
Shuyang Sun
Zhe Wang
Jianping Shi
Chen Change Loy
VOT
77
194
0
09 Sep 2019
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
193
273
0
09 Sep 2019
Neural Architecture Search in Embedding Space
Neural Architecture Search in Embedding Space
Chunmiao Liu
61
0
0
09 Sep 2019
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image
  Super-Resolution
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
Wenming Yang
Xuechen Zhang
Yapeng Tian
Wei Wang
Jing-Hao Xue
Q. Liao
78
16
0
09 Sep 2019
Neural Gaussian Copula for Variational Autoencoder
Neural Gaussian Copula for Variational Autoencoder
P. Wang
William Yang Wang
BDLDRL
53
13
0
09 Sep 2019
MULE: Multimodal Universal Language Embedding
MULE: Multimodal Universal Language Embedding
Donghyun Kim
Kuniaki Saito
Kate Saenko
Stan Sclaroff
Bryan A. Plummer
VLM
82
40
0
08 Sep 2019
Adaptive Factorization Network: Learning Adaptive-Order Feature
  Interactions
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
Weiyu Cheng
Yanyan Shen
Linpeng Huang
75
169
0
07 Sep 2019
Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
Jingwen Fu
Xiaoyan Zhu
Yingbin Li
22
15
0
07 Sep 2019
DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase
  Restoration and Coherence Estimation
DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation
Xinyao Sun
A. Zimmer
Subhayan Mukherjee
N. K. Kottayil
P. Ghuman
I. Cheng
20
27
0
06 Sep 2019
Linear Context Transform Block
Linear Context Transform Block
D. Ruan
Jun Wen
Nenggan Zheng
Min Zheng
ViT
32
23
0
06 Sep 2019
Set Flow: A Permutation Invariant Normalizing Flow
Set Flow: A Permutation Invariant Normalizing Flow
Kashif Rasul
Ingmar Schuster
Roland Vollgraf
Urs M. Bergmann
BDL3DPCDRL
75
5
0
06 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification
NEAR: Neighborhood Edge AggregatoR for Graph Classification
Cheolhyeong Kim
Haeseong Moon
H. Hwang
GNN
133
6
0
06 Sep 2019
A Baseline for Few-Shot Image Classification
A Baseline for Few-Shot Image Classification
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
134
584
0
06 Sep 2019
Semantic Correlation Promoted Shape-Variant Context for Segmentation
Semantic Correlation Promoted Shape-Variant Context for Segmentation
Henghui Ding
Xudong Jiang
Bing Shuai
A. Liu
Gang Wang
ISeg
106
169
0
05 Sep 2019
On the Acceleration of Deep Learning Model Parallelism with Staleness
On the Acceleration of Deep Learning Model Parallelism with Staleness
An Xu
Zhouyuan Huo
Heng-Chiao Huang
65
38
0
05 Sep 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with
  Generative Flow
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma
Chunting Zhou
Xian Li
Graham Neubig
Eduard H. Hovy
AI4TSBDL
90
192
0
05 Sep 2019
Training High-Performance and Large-Scale Deep Neural Networks with Full
  8-bit Integers
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers
Yukuan Yang
Shuang Wu
Lei Deng
Tianyi Yan
Yuan Xie
Guoqi Li
MQ
171
113
0
05 Sep 2019
Efficient Neural Architecture Transformation Searchin Channel-Level for
  Object Detection
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
Junran Peng
Ming Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
ViT
86
56
0
05 Sep 2019
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time
  Estimation
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation
Tao-Yang Fu
Wang-Chien Lee
AI4TS
87
50
0
05 Sep 2019
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic
  Labels Improve Image Captioning and Visual Question Answering
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
Soravit Changpinyo
Bo Pang
Piyush Sharma
Radu Soricut
ObjD
58
20
0
04 Sep 2019
Self-Attentive Adversarial Stain Normalization
Self-Attentive Adversarial Stain Normalization
A. Shrivastava
W. Adorno
Yash Sharma
L. Ehsan
S. A. Ali
S. Moore
B. Amadi
P. Kelly
Sana Syed
Donald E. Brown
MedIm
42
24
0
04 Sep 2019
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid
Naiyu Gao
Yanhu Shan
Yupei Wang
Xin Zhao
Yinan Yu
Ming Yang
Kaiqi Huang
SSegISeg
109
227
0
04 Sep 2019
Riemannian batch normalization for SPD neural networks
Riemannian batch normalization for SPD neural networks
Daniel A. Brooks
Olivier Schwander
F. Barbaresco
J. Schneider
Matthieu Cord
101
93
0
03 Sep 2019
Robust Invisible Video Watermarking with Attention
Robust Invisible Video Watermarking with Attention
Ke-Yue Zhang
Lei Xu
Alfredo Cuesta-Infante
K. Veeramachaneni
WIGM
84
120
0
03 Sep 2019
Learning Elastic Constitutive Material and Damping Models
Learning Elastic Constitutive Material and Damping Models
Bin Wang
Y. Deng
P. Kry
Uri M. Ascher
Hui Huang
Baoquan Chen
AI4CE
48
15
0
03 Sep 2019
Demucs: Deep Extractor for Music Sources with extra unlabeled data
  remixed
Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed
Alexandre Défossez
Nicolas Usunier
Léon Bottou
Francis R. Bach
79
85
0
03 Sep 2019
Unsupervised Video Depth Estimation Based on Ego-motion and Disparity
  Consensus
Unsupervised Video Depth Estimation Based on Ego-motion and Disparity Consensus
Lingtao Zhou
Jiaojiao Fang
Guizhong Liu
MDE
71
4
0
03 Sep 2019
PSDNet and DPDNet: Efficient channel expansion,
  Depthwise-Pointwise-Depthwise Inverted Bottleneck Block
PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block
Guoqing Li
Meng Zhang
Qianru Zhang
Ziyang Chen
Wenzhao Liu
Jiaojie Li
Xuzhao Shen
Jian Li
Zhenyu Zhu
Chau Yuen
73
5
0
03 Sep 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann
Louis Maestrati
Yoshihide Sawada
Jian Tang
Jean Michel D. Sellier
Yoshua Bengio
DiffM3DV
96
67
0
03 Sep 2019
Hierarchical Control for Bipedal Locomotion using Central Pattern
  Generators and Neural Networks
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks
Sayantan Auddy
S. Magg
S. Wermter
15
9
0
02 Sep 2019
Training-Time-Friendly Network for Real-Time Object Detection
Training-Time-Friendly Network for Real-Time Object Detection
Zili Liu
Tu Zheng
Guodong Xu
Zheng Yang
Haifeng Liu
Deng Cai
ObjDTTA
83
87
0
02 Sep 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status
  and Future Directions
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
Hansika Hewamalage
Christoph Bergmeir
Kasun Bandara
AI4TS
114
910
0
02 Sep 2019
Improved Image Augmentation for Convolutional Neural Networks by Copyout
  and CopyPairing
Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing
P. May
OOD
30
7
0
01 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
139
471
0
31 Aug 2019
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
Reza Azad
Maryam Asadi-Aghbolaghi
M. Fathy
Sergio Escalera
SSegMedIm
91
347
0
31 Aug 2019
Object Detection in Optical Remote Sensing Images: A Survey and A New
  Benchmark
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
Ke Li
G. Wan
Gong Cheng
L. Meng
Junwei Han
88
1,483
0
31 Aug 2019
Towards Learning Affine-Invariant Representations via Data-Efficient
  CNNs
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs
Xenju Xu
Guanghui Wang
Alan Sullivan
Ziming Zhang
65
23
0
31 Aug 2019
Meta-Learning with Warped Gradient Descent
Meta-Learning with Warped Gradient Descent
Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
R. Hadsell
110
210
0
30 Aug 2019
Dense Dilated Convolutions Merging Network for Semantic Mapping of
  Remote Sensing Images
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
115
14
0
30 Aug 2019
Context Aware Road-user Importance Estimation (iCARE)
Context Aware Road-user Importance Estimation (iCARE)
Alireza Rahimpour
Sujitha Martin
Ashish Tawari
Hairong Qi
64
6
0
30 Aug 2019
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT
  Slice Interval
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval
Akira Kudo
Yoshiro Kitamura
Yuanzhong Li
S. Iizuka
E. Simo-Serra
3DPCMedIm
53
35
0
30 Aug 2019
Predicting Consumer Default: A Deep Learning Approach
Predicting Consumer Default: A Deep Learning Approach
Stefania Albanesi
Domonkos F. Vamossy
FaML
48
60
0
30 Aug 2019
Automated Detecting and Placing Road Objects from Street-level Images
Automated Detecting and Placing Road Objects from Street-level Images
Chaoquan Zhang
H. Fan
Wanzhi Li
Bo Mao
Xuan Ding
36
8
0
29 Aug 2019
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