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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
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
Bardia Doosti
Shujon Naha
Majid Mirbagheri
David J. Crandall
3DH
92
190
0
31 Mar 2020
CRYSPNet: Crystal Structure Predictions via Neural Network
CRYSPNet: Crystal Structure Predictions via Neural Network
Haotong Liang
V. Stanev
A. Kusne
Ichiro Takeuchi
58
38
0
31 Mar 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning
DPGN: Distribution Propagation Graph Network for Few-shot Learning
Ling Yang
Liang Li
Zilun Zhang
Xinyu Zhou
Erjin Zhou
Yu Liu
114
208
0
31 Mar 2020
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action
  Recognition
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Ziyu Liu
Hongwen Zhang
Zhenghao Chen
Zhiyong Wang
Wanli Ouyang
156
838
0
31 Mar 2020
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure
  Prior
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
Xiaokang Chen
Kwan-Yee Lin
Chao Qian
Gang Zeng
Hongsheng Li
3DV
83
133
0
31 Mar 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation
Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun
Jongjin Park
Kimin Lee
Jinwoo Shin
92
281
0
31 Mar 2020
Proxy Anchor Loss for Deep Metric Learning
Proxy Anchor Loss for Deep Metric Learning
Sungyeon Kim
Dongwon Kim
Minsu Cho
Suha Kwak
85
360
0
31 Mar 2020
Adversarial Attacks on Multivariate Time Series
Adversarial Attacks on Multivariate Time Series
Samuel Harford
Fazle Karim
H. Darabi
AI4TSAAML
55
22
0
31 Mar 2020
A Low-cost Fault Corrector for Deep Neural Networks through Range
  Restriction
A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction
Zitao Chen
Guanpeng Li
Karthik Pattabiraman
AAMLAI4CE
87
17
0
30 Mar 2020
RetinaTrack: Online Single Stage Joint Detection and Tracking
RetinaTrack: Online Single Stage Joint Detection and Tracking
Zhichao Lu
V. Rathod
Ronny Votel
Jonathan Huang
VOT
100
190
0
30 Mar 2020
Dataless Model Selection with the Deep Frame Potential
Dataless Model Selection with the Deep Frame Potential
Calvin Murdock
Simon Lucey
90
6
0
30 Mar 2020
ActGAN: Flexible and Efficient One-shot Face Reenactment
ActGAN: Flexible and Efficient One-shot Face Reenactment
Ivan Kosarevych
Marian Petruk
Markian Kostiv
Orest Kupyn
M. Maksymenko
Volodymyr Budzan
CVBMPICVGAN
67
2
0
30 Mar 2020
Sign Language Transformers: Joint End-to-end Sign Language Recognition
  and Translation
Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
Necati Cihan Camgöz
Oscar Koller
Simon Hadfield
Richard Bowden
SLR
122
516
0
30 Mar 2020
Deep Molecular Programming: A Natural Implementation of Binary-Weight
  ReLU Neural Networks
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Marko Vasic
Cameron T. Chalk
S. Khurshid
D. Soloveichik
NAIMQ
48
17
0
30 Mar 2020
Designing Network Design Spaces
Designing Network Design Spaces
Ilija Radosavovic
Raj Prateek Kosaraju
Ross B. Girshick
Kaiming He
Piotr Dollár
GNN
192
1,707
0
30 Mar 2020
Revisiting Over-smoothing in Deep GCNs
Revisiting Over-smoothing in Deep GCNs
Chaoqi Yang
Ruijie Wang
Shuochao Yao
Shengzhong Liu
Tarek Abdelzaher
93
98
0
30 Mar 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and
  Manipulation
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
Xingang Pan
Xiaohang Zhan
Bo Dai
Dahua Lin
Chen Change Loy
Ping Luo
DiffM
131
365
0
30 Mar 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel
  Correlations Lead to Improved MobileNets
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
D. Haase
Manuel Amthor
82
136
0
30 Mar 2020
SiTGRU: Single-Tunnelled Gated Recurrent Unit for Abnormality Detection
SiTGRU: Single-Tunnelled Gated Recurrent Unit for Abnormality Detection
Habtamu Fanta
Zhiwen Shao
Lizhuang Ma
36
39
0
30 Mar 2020
Context Based Emotion Recognition using EMOTIC Dataset
Context Based Emotion Recognition using EMOTIC Dataset
Ronak Kosti
J. Álvarez
Adrià Recasens
Àgata Lapedriza
70
184
0
30 Mar 2020
Learning Memory-guided Normality for Anomaly Detection
Learning Memory-guided Normality for Anomaly Detection
Hyunjong Park
Jongyoun Noh
Bumsub Ham
130
645
0
30 Mar 2020
Learning to Learn Single Domain Generalization
Learning to Learn Single Domain Generalization
Fengchun Qiao
Long Zhao
Xi Peng
OOD
134
445
0
30 Mar 2020
Temporal Network Representation Learning via Historical Neighborhoods
  Aggregation
Temporal Network Representation Learning via Historical Neighborhoods Aggregation
Shixun Huang
Z. Bao
Guoliang Li
Yanghao Zhou
J. Culpepper
AI4TS
96
18
0
30 Mar 2020
High-Order Residual Network for Light Field Super-Resolution
High-Order Residual Network for Light Field Super-Resolution
Nan Meng
Xiaofei Wu
Jianzhuang Liu
E. Lam
66
38
0
29 Mar 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
73
133
0
29 Mar 2020
Differentially Private Federated Learning for Resource-Constrained
  Internet of Things
Differentially Private Federated Learning for Resource-Constrained Internet of Things
Rui Hu
Yuanxiong Guo
E. Ratazzi
Yanmin Gong
FedML
62
18
0
28 Mar 2020
Semantically Multi-modal Image Synthesis
Semantically Multi-modal Image Synthesis
Zhen Zhu
Zhi-liang Xu
Ansheng You
X. Bai
274
95
0
28 Mar 2020
Source Printer Identification from Document Images Acquired using
  Smartphone
Source Printer Identification from Document Images Acquired using Smartphone
Sharad Joshi
Suraj Saxena
Nitin Khanna
38
6
0
27 Mar 2020
An Investigation into the Stochasticity of Batch Whitening
An Investigation into the Stochasticity of Batch Whitening
Lei Huang
Lei Zhao
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
115
19
0
27 Mar 2020
CurlingNet: Compositional Learning between Images and Text for Fashion
  IQ Data
CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data
Youngjae Yu
Seunghwan Lee
Yuncheol Choi
Gunhee Kim
CoGe
70
37
0
27 Mar 2020
Generalizable Model-agnostic Semantic Segmentation via Target-specific
  Normalization
Generalizable Model-agnostic Semantic Segmentation via Target-specific Normalization
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
82
36
0
27 Mar 2020
Convolutional Neural Networks for Image-based Corn Kernel Detection and
  Counting
Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting
S. Khaki
Hieu H. Pham
Ye Han
Andy Kuhl
W. Kent
Lizhi Wang
66
55
0
26 Mar 2020
Towards Better Opioid Antagonists Using Deep Reinforcement Learning
Towards Better Opioid Antagonists Using Deep Reinforcement Learning
Jianyuan Deng
Zhibo Yang
Yao Li
Dimitris Samaras
Fusheng Wang
56
7
0
26 Mar 2020
Compact Deep Aggregation for Set Retrieval
Compact Deep Aggregation for Set Retrieval
Yujie Zhong
Relja Arandjelović
Andrew Zisserman
CVBM3DH
69
14
0
26 Mar 2020
Pipelined Backpropagation at Scale: Training Large Models without
  Batches
Pipelined Backpropagation at Scale: Training Large Models without Batches
Atli Kosson
Vitaliy Chiley
Abhinav Venigalla
Joel Hestness
Urs Koster
112
33
0
25 Mar 2020
Learning Layout and Style Reconfigurable GANs for Controllable Image
  Synthesis
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis
Wei Sun
Tianfu Wu
108
84
0
25 Mar 2020
Improved Techniques for Training Single-Image GANs
Improved Techniques for Training Single-Image GANs
Tobias Hinz
Matthew Fisher
Oliver Wang
S. Wermter
GANVLM
75
146
0
25 Mar 2020
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization
  Perspective
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Qilong Wang
Li Zhang
Banggu Wu
Dongwei Ren
P. Li
W. Zuo
Q. Hu
83
21
0
25 Mar 2020
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
Shuhei Yokoo
Kohei Ozaki
E. Simo-Serra
S. Iizuka
119
31
0
25 Mar 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage
  Models
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
Jiahui Yu
Pengchong Jin
Hanxiao Liu
Gabriel Bender
Pieter-Jan Kindermans
Mingxing Tan
Thomas Huang
Xiaodan Song
Ruoming Pang
Quoc V. Le
118
304
0
24 Mar 2020
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition
Dung Nguyen
Sridha Sridharan
D. Nguyen
Akila Pemasiri
Son N. Tran
Rui Zeng
Clinton Fookes
41
13
0
24 Mar 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
PADS: Policy-Adapted Sampling for Visual Similarity Learning
Karsten Roth
Timo Milbich
Bjorn Ommer
132
49
0
24 Mar 2020
Know Your Surroundings: Exploiting Scene Information for Object Tracking
Know Your Surroundings: Exploiting Scene Information for Object Tracking
Goutam Bhat
Martin Danelljan
Luc Van Gool
Radu Timofte
96
317
0
24 Mar 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
Duo Li
Qifeng Chen
262
19
0
24 Mar 2020
Real-time 3D object proposal generation and classification under limited
  processing resources
Real-time 3D object proposal generation and classification under limited processing resources
Xuesong Li
J. Guivant
Subhan Khan
3DPC
22
8
0
24 Mar 2020
Robust and On-the-fly Dataset Denoising for Image Classification
Robust and On-the-fly Dataset Denoising for Image Classification
Jiaming Song
Lunjia Hu
Michael Auli
Yann N. Dauphin
Tengyu Ma
NoLaOOD
90
13
0
24 Mar 2020
ProGraML: Graph-based Deep Learning for Program Optimization and
  Analysis
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
Chris Cummins
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Hugh Leather
177
59
0
23 Mar 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects
  of Discrete Input Encoding and Non-Linear Activations
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations
Saima Sharmin
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
AAML
159
92
0
23 Mar 2020
Neural Contours: Learning to Draw Lines from 3D Shapes
Neural Contours: Learning to Draw Lines from 3D Shapes
Difan Liu
Mohamed Nabail
Aaron Hertzmann
E. Kalogerakis
3DPC3DV
117
40
0
23 Mar 2020
Learning Better Lossless Compression Using Lossy Compression
Learning Better Lossless Compression Using Lossy Compression
Fabian Mentzer
Luc Van Gool
Michael Tschannen
146
72
0
23 Mar 2020
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