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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
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
354
3,032
0
09 Jun 2020
DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based
  on Structural and Angiographic Optical Coherence Tomography
DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based on Structural and Angiographic Optical Coherence Tomography
P. Zang
Liqin Gao
T. Hormel
Jie Wang
Q. You
T. Hwang
Yali Jia
76
53
0
09 Jun 2020
Pruning neural networks without any data by iteratively conserving
  synaptic flow
Pruning neural networks without any data by iteratively conserving synaptic flow
Hidenori Tanaka
D. Kunin
Daniel L. K. Yamins
Surya Ganguli
245
652
0
09 Jun 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future
  Challenges
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
E. Galván
P. Mooney
111
136
0
09 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSLHAI
139
303
0
09 Jun 2020
PIVEN: A Deep Neural Network for Prediction Intervals with Specific
  Value Prediction
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction
Eli Simhayev
Gilad Katz
Lior Rokach
OOD
51
12
0
09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
103
276
0
09 Jun 2020
Reposing Humans by Warping 3D Features
Reposing Humans by Warping 3D Features
Markus Knoche
István Sárándi
Bastian Leibe
3DH
71
21
0
08 Jun 2020
Reinforcement Learning Under Moral Uncertainty
Reinforcement Learning Under Moral Uncertainty
Adrien Ecoffet
Joel Lehman
125
32
0
08 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows
Multi-fidelity Generative Deep Learning Turbulent Flows
N. Geneva
N. Zabaras
AI4CE
85
44
0
08 Jun 2020
ResKD: Residual-Guided Knowledge Distillation
ResKD: Residual-Guided Knowledge Distillation
Xuewei Li
Songyuan Li
Bourahla Omar
Leilei Gan
Xi Li
68
48
0
08 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution
  Shift
Rethinking Importance Weighting for Deep Learning under Distribution Shift
Tongtong Fang
Nan Lu
Gang Niu
Masashi Sugiyama
112
140
0
08 Jun 2020
WaveNODE: A Continuous Normalizing Flow for Speech Synthesis
WaveNODE: A Continuous Normalizing Flow for Speech Synthesis
Hyeongju Kim
Hyeongseung Lee
Woohyun Kang
Sung Jun Cheon
Byoung Jin Choi
N. Kim
67
12
0
08 Jun 2020
Training Deep Spiking Neural Networks
Training Deep Spiking Neural Networks
Eimantas Ledinauskas
J. Ruseckas
Alfonsas Jursenas
Giedrius Burachas
98
56
0
08 Jun 2020
Privacy Adversarial Network: Representation Learning for Mobile Data
  Privacy
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy
Sicong Liu
Junzhao Du
Anshumali Shrivastava
Lin Zhong
91
14
0
08 Jun 2020
Passive Batch Injection Training Technique: Boosting Network Performance
  by Injecting Mini-Batches from a different Data Distribution
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution
Pravendra Singh
Pratik Mazumder
Vinay P. Namboodiri
44
0
0
08 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement
  Learning
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
Shariq Iqbal
Christian Schroeder de Witt
Bei Peng
Wendelin Bohmer
Shimon Whiteson
Fei Sha
94
68
0
07 Jun 2020
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for
  Bike Sharing Demand Prediction
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction
Weiguo Pian
Yingbo Wu
Ziyi Kou
22
0
0
07 Jun 2020
Feature Interaction based Neural Network for Click-Through Rate
  Prediction
Feature Interaction based Neural Network for Click-Through Rate Prediction
Dafang Zou
Leimin Zhang
Jiafa Mao
Weiguo Sheng
84
3
0
07 Jun 2020
MMA Regularization: Decorrelating Weights of Neural Networks by
  Maximizing the Minimal Angles
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
Zhennan Wang
Canqun Xiang
Wenbin Zou
Chen Xu
100
19
0
06 Jun 2020
Attention-Based Deep Learning Framework for Human Activity Recognition
  with User Adaptation
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation
Davide Buffelli
Fabio Vandin
HAI
49
44
0
06 Jun 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge
  Distillation
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation
Deepan Das
Haley Massa
Abhimanyu Kulkarni
Theodoros Rekatsinas
70
18
0
06 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Luyang Luo
Lequan Yu
Hao Chen
Quande Liu
Xi Wang
Jiaqi Xu
Pheng-Ann Heng
OOD
94
79
0
06 Jun 2020
End-to-End Adversarial Text-to-Speech
End-to-End Adversarial Text-to-Speech
Jeff Donahue
Sander Dieleman
Mikolaj Binkowski
Erich Elsen
Karen Simonyan
109
187
0
05 Jun 2020
Audio Captioning using Gated Recurrent Units
Audio Captioning using Gated Recurrent Units
Aysegül Özkaya Eren
M. Sert
74
10
0
05 Jun 2020
Convolutional Neural Networks for Global Human Settlements Mapping from
  Sentinel-2 Satellite Imagery
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite Imagery
C. Corbane
V. Syrris
F. Sabo
P. Politis
M. Melchiorri
M. Pesaresi
P. Soille
T. Kemper
66
117
0
05 Jun 2020
Real-time Human Activity Recognition Using Conditionally Parametrized
  Convolutions on Mobile and Wearable Devices
Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices
Xin-Hua Cheng
Lefei Zhang
Yin Tang
Yue Liu
Hao Wu
Jun He
CVBM3DHHAI
73
55
0
05 Jun 2020
Discovering Parametric Activation Functions
Discovering Parametric Activation Functions
G. Bingham
Risto Miikkulainen
ODL
74
73
0
05 Jun 2020
CSTNet: Contrastive Speech Translation Network for Self-Supervised
  Speech Representation Learning
CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning
Sameer Khurana
Antoine Laurent
James R. Glass
SSL
72
12
0
04 Jun 2020
Overcoming Overfitting and Large Weight Update Problem in Linear
  Rectifiers: Thresholded Exponential Rectified Linear Units
Overcoming Overfitting and Large Weight Update Problem in Linear Rectifiers: Thresholded Exponential Rectified Linear Units
V. Pandey
23
4
0
04 Jun 2020
FastReID: A Pytorch Toolbox for General Instance Re-identification
FastReID: A Pytorch Toolbox for General Instance Re-identification
Lingxiao He
Xingyu Liao
Wu Liu
Xinchen Liu
Peng Cheng
Tao Mei
170
316
0
04 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information
  Maximization and Contrastive Learning
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning
Aditya Sanghi
3DPCSSL
72
103
0
04 Jun 2020
Multi-Temporal Scene Classification and Scene Change Detection with
  Correlation based Fusion
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion
Lixiang Ru
Bo Du
Chen Wu
105
72
0
03 Jun 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better
  Regularization
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
A. Uddin
Sirazam Monira
Wheemyung Shin
TaeChoong Chung
Sung-Ho Bae
117
229
0
02 Jun 2020
Channel Distillation: Channel-Wise Attention for Knowledge Distillation
Channel Distillation: Channel-Wise Attention for Knowledge Distillation
Zaida Zhou
Chaoran Zhuge
Xinwei Guan
Wen Liu
88
51
0
02 Jun 2020
Neural Control Variates
Neural Control Variates
Thomas Müller
Fabrice Rousselle
Jan Novák
A. Keller
BDL
107
56
0
02 Jun 2020
Adaptive convolutional neural networks for k-space data interpolation in
  fast magnetic resonance imaging
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging
Tianming Du
Honggang Zhang
Yuemeng Li
H. K. Song
Yong-Xian Fan
51
2
0
02 Jun 2020
Invariant Policy Optimization: Towards Stronger Generalization in
  Reinforcement Learning
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning
Anoopkumar Sonar
Vincent Pacelli
Anirudha Majumdar
117
54
0
01 Jun 2020
Artificial neural networks for neuroscientists: A primer
Artificial neural networks for neuroscientists: A primer
G. R. Yang
Xiao-Jing Wang
114
255
0
01 Jun 2020
In the Eye of the Beholder: Gaze and Actions in First Person Video
In the Eye of the Beholder: Gaze and Actions in First Person Video
Yin Li
Miao Liu
James M. Rehg
EgoV
179
71
0
31 May 2020
Rethinking Assumptions in Deep Anomaly Detection
Rethinking Assumptions in Deep Anomaly Detection
Lukas Ruff
Robert A. Vandermeulen
Billy Joe Franks
Klaus-Robert Muller
Marius Kloft
129
91
0
30 May 2020
Reconstructing undersampled photoacoustic microscopy images using deep
  learning
Reconstructing undersampled photoacoustic microscopy images using deep learning
Anthony DiSpirito
Daiwei Li
Tri Vu
Maomao Chen
D. Zhang
Jianwen Luo
R. Horstmeyer
Junjie Yao
50
97
0
30 May 2020
Sequence to Point Learning Based on Bidirectional Dilated Residual
  Network for Non Intrusive Load Monitoring
Sequence to Point Learning Based on Bidirectional Dilated Residual Network for Non Intrusive Load Monitoring
Ziyue Jia
Linfeng Yang
Zhenrong Zhang
Hui Liu
Fannie Kong
43
60
0
30 May 2020
Complex Sequential Understanding through the Awareness of Spatial and
  Temporal Concepts
Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts
Bo Pang
Kaiwen Zha
Hanwen Cao
Jiajun Tang
Minghui Yu
Cewu Lu
82
25
0
30 May 2020
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution
  Prediction
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction
Haoliang Jiang
Zhenguo Nie
Roselyn Yeo
A. Farimani
Levent Burak Kara
GAN
90
18
0
30 May 2020
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from
  Video for Human Activity Recognition
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition
Hyeokhyen Kwon
C. Tong
H. Haresamudram
Yan Gao
G. Abowd
Nicholas D. Lane
Thomas Ploetz
129
88
0
29 May 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator
  GAN Without Sharing Medical Image Data
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Qi Chang
Hui Qu
Yikai Zhang
M. Sabuncu
Chao Chen
Tong Zhang
Dimitris N. Metaxas
MedIm
108
83
0
29 May 2020
The Importance of Suppressing Domain Style in Authorship Analysis
The Importance of Suppressing Domain Style in Authorship Analysis
Sebastian Bischoff
Niklas Deckers
Marcel Schliebs
Ben Thies
Matthias Hagen
E. Stamatatos
Benno Stein
Martin Potthast
38
35
0
29 May 2020
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for
  Vehicle Re-identification
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification
Fei Shen
Jianqing Zhu
Xiaobin Zhu
Yi Xie
Jingchang Huang
82
98
0
29 May 2020
Probabilistic Object Classification using CNN ML-MAP layers
Probabilistic Object Classification using CNN ML-MAP layers
Gledson Melotti
C. Premebida
Jordan J. Bird
Diego Resende Faria
Nuno Gonçalves
53
4
0
29 May 2020
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