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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 / 11,209 papers shown
Title
Graph-based Knowledge Distillation by Multi-head Attention Network
Graph-based Knowledge Distillation by Multi-head Attention Network
Seunghyun Lee
B. Song
92
77
0
04 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality
  Preservation
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
Shuo-feng Zhang
Lei Xie
GNN
87
55
0
04 Jul 2019
DeepMRSeg: A convolutional deep neural network for anatomy and
  abnormality segmentation on MR images
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
J. Doshi
G. Erus
Mohamad Habes
Christos Davatzikos
MedIm
41
27
0
03 Jul 2019
Anatomically Consistent Segmentation of Organs at Risk in MRI with
  Convolutional Neural Networks
Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks
Pawel Mlynarski
H. Delingette
Hamza Alghamdi
P. Bondiau
N. Ayache
MedIm
28
5
0
03 Jul 2019
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural
  Architecture Search
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Xiangxiang Chu
Bo Zhang
Ruijun Xu
135
334
0
03 Jul 2019
Attention routing between capsules
Attention routing between capsules
Jaewoong Choi
Hyun Seo
Suii Im
Myungju Kang
93
74
0
03 Jul 2019
Generalizing from a few environments in safety-critical reinforcement
  learning
Generalizing from a few environments in safety-critical reinforcement learning
Zachary Kenton
Angelos Filos
Owain Evans
Y. Gal
87
16
0
02 Jul 2019
Training Auto-encoder-based Optimizers for Terahertz Image
  Reconstruction
Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction
Tak Ming Wong
M. Kahl
P. Bolívar
A. Kolb
Michael Möller
30
8
0
02 Jul 2019
Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for
  Multiple Source Separations
Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations
Gabriel Meseguer-Brocal
Geoffroy Peeters
84
61
0
02 Jul 2019
Improving the generalizability of convolutional neural network-based
  segmentation on CMR images
Improving the generalizability of convolutional neural network-based segmentation on CMR images
Chen Chen
Wenjia Bai
R. Davies
A. Bhuva
C. Manisty
...
S. Petersen
E. Lukaschuk
Stefan K. Piechnik
S. Neubauer
Daniel Rueckert
81
120
0
02 Jul 2019
A Tandem Learning Rule for Effective Training and Rapid Inference of
  Deep Spiking Neural Networks
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks
Jibin Wu
Yansong Chua
Malu Zhang
Guoqi Li
Haizhou Li
Kay Chen Tan
78
14
0
02 Jul 2019
Diminishing the Effect of Adversarial Perturbations via Refining Feature
  Representation
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation
Nader Asadi
Amirm. Sarfi
Mehrdad Hosseinzadeh
Sahba Tahsini
M. Eftekhari
AAML
32
2
0
01 Jul 2019
Global Pixel Transformers for Virtual Staining of Microscopy Images
Global Pixel Transformers for Virtual Staining of Microscopy Images
Yi Liu
Hao Yuan
Zhengyang Wang
Shuiwang Ji
MedImViT
33
1
0
01 Jul 2019
Semantic Product Search
Semantic Product Search
Priyank Nigam
Yiwei Song
Vijai Mohan
V. Lakshman
Weitian Ding
Ding
Ankit Shingavi
C. Teo
Hao Gu
Bing Yin
AAML
60
120
0
01 Jul 2019
Online Multiple Pedestrians Tracking using Deep Temporal Appearance
  Matching Association
Online Multiple Pedestrians Tracking using Deep Temporal Appearance Matching Association
Young-Chul Yoon
D. Kim
Young-min Song
Kwangjin Yoon
M. Jeon
VOT
161
69
0
01 Jul 2019
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow
  Estimation
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
Matias Tassano
J. Delon
T. Veit
86
238
0
01 Jul 2019
Multi-atlas image registration of clinical data with automated quality
  assessment using ventricle segmentation
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Florian Dubost
Marleen de Bruijne
M. Nardin
Adrian Dalca
K. Donahue
...
M. Groot
W. Niessen
Meike W. Vernooij
N. Rost
M. Schirmer
34
27
0
01 Jul 2019
Learning to Blindly Assess Image Quality in the Laboratory and Wild
Learning to Blindly Assess Image Quality in the Laboratory and Wild
Weixia Zhang
Kede Ma
Guangtao Zhai
Xiaokang Yang
90
58
0
01 Jul 2019
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CMLMUSyDaGAN
133
1,277
0
01 Jul 2019
Deep Residual Neural Networks for Audio Spoofing Detection
M. Alzantot
Ziqi Wang
Mani B. Srivastava
77
169
0
30 Jun 2019
Multilingual Bottleneck Features for Query by Example Spoken Term
  Detection
Multilingual Bottleneck Features for Query by Example Spoken Term Detection
Dhananjay Ram
Lesly Miculicich
H. Bourlard
31
19
0
30 Jun 2019
Learning to Find Correlated Features by Maximizing Information Flow in
  Convolutional Neural Networks
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks
Wei Shen
Fei Li
Rujie Liu
31
2
0
30 Jun 2019
A 1d convolutional network for leaf and time series classification
A 1d convolutional network for leaf and time series classification
Dongyang Kuang
AI4TS
52
11
0
28 Jun 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang
Xun Huang
Jinwei Gu
Ming-Yuan Liu
Serge J. Belongie
Bharath Hariharan
3DPC
159
672
0
28 Jun 2019
Accurate Retinal Vessel Segmentation via Octave Convolution Neural
  Network
Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network
Zhun Fan
Jiajie Mo
Benzhang Qiu
Wenji Li
Guijie Zhu
Chong Li
Jianye Hu
Yibiao Rong
Xinjian Chen
118
30
0
28 Jun 2019
Neural ODEs as the Deep Limit of ResNets with constant weights
Neural ODEs as the Deep Limit of ResNets with constant weights
B. Avelin
K. Nystrom
ODL
141
32
0
28 Jun 2019
On improving deep learning generalization with adaptive sparse
  connectivity
On improving deep learning generalization with adaptive sparse connectivity
Shiwei Liu
Decebal Constantin Mocanu
Mykola Pechenizkiy
ODL
39
8
0
27 Jun 2019
A Convolutional Decoder for Point Clouds using Adaptive Instance
  Normalization
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
I. Lim
Moritz Ibing
Leif Kobbelt
3DPC3DV
86
15
0
27 Jun 2019
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling
  for Learning Discriminative Features in Semantic Segmentation
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation
Xianwei Zheng
Linxi Huan
Hanjiang Xiong
J. Gong
SSeg
28
6
0
27 Jun 2019
Integration of adversarial autoencoders with residual dense
  convolutional networks for estimation of non-Gaussian hydraulic
  conductivities
Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities
S. Mo
N. Zabaras
Xiaoqing Shi
Jichun Wu
103
43
0
26 Jun 2019
Morpheus: A Deep Learning Framework For Pixel-Level Analysis of
  Astronomical Image Data
Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data
R. Hausen
B. Robertson
69
68
0
26 Jun 2019
Importance Estimation for Neural Network Pruning
Importance Estimation for Neural Network Pruning
Pavlo Molchanov
Arun Mallya
Stephen Tyree
I. Frosio
Jan Kautz
3DPC
95
888
0
25 Jun 2019
New pointwise convolution in Deep Neural Networks through Extremely Fast
  and Non Parametric Transforms
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms
Joonhyun Jeong
Sung-Ho Bae
60
1
0
25 Jun 2019
Perceptual Generative Autoencoders
Perceptual Generative Autoencoders
Zijun Zhang
Ruixiang Zhang
Zongpeng Li
Yoshua Bengio
Liam Paull
DRLGAN
79
28
0
25 Jun 2019
Efficient Multi-Domain Network Learning by Covariance Normalization
Efficient Multi-Domain Network Learning by Covariance Normalization
Yunsheng Li
Nuno Vasconcelos
OOD
127
34
0
24 Jun 2019
Multimodal and Multi-view Models for Emotion Recognition
Multimodal and Multi-view Models for Emotion Recognition
Gustavo Aguilar
Viktor Rozgic
Weiran Wang
Chao Wang
63
29
0
24 Jun 2019
Mutual exclusivity as a challenge for deep neural networks
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi
Brenden M. Lake
91
14
0
24 Jun 2019
Complex Signal Denoising and Interference Mitigation for Automotive
  Radar Using Convolutional Neural Networks
Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks
J. Rock
Máté Tóth
Elmar Messner
Paul Meissner
Franz Pernkopf
59
44
0
24 Jun 2019
Single-Channel Speech Separation with Auxiliary Speaker Embeddings
Single-Channel Speech Separation with Auxiliary Speaker Embeddings
Shuo Liu
Gil Keren
Björn Schuller
40
3
0
24 Jun 2019
A Convolutional Approach to Melody Line Identification in Symbolic
  Scores
A Convolutional Approach to Melody Line Identification in Symbolic Scores
Federico Simonetta
Carlos Eduardo Cancino-Chacón
Stavros Ntalampiras
Gerhard Widmer
27
15
0
24 Jun 2019
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Zhaowei Cai
Nuno Vasconcelos
ObjD
119
1,374
0
24 Jun 2019
The NN-Stacking: Feature weighted linear stacking through neural
  networks
The NN-Stacking: Feature weighted linear stacking through neural networks
Victor Coscrato
M. Inácio
Rafael Izbicki
30
20
0
24 Jun 2019
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Amit Kumar Jaiswal
Ivan Panshin
D. Shulkin
Nagender Aneja
Samuel Abramov
SSLMedIm
57
23
0
23 Jun 2019
Learning Activation Functions: A new paradigm for understanding Neural
  Networks
Learning Activation Functions: A new paradigm for understanding Neural Networks
Mohit Goyal
R. Goyal
Brejesh Lall
72
66
0
23 Jun 2019
Deep Single Image Deraining Via Estimating Transmission and Atmospheric
  Light in rainy Scenes
Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes
Yinglong Wang
Javen Qinfeng Shi
Ehsan Abbasnejad
Chao Ma
Xiaoping Ma
B. Zeng
23
0
0
22 Jun 2019
Fully Decoupled Neural Network Learning Using Delayed Gradients
Fully Decoupled Neural Network Learning Using Delayed Gradients
Huiping Zhuang
Yi Wang
Qinglai Liu
Shuai Zhang
Zhiping Lin
FedML
83
31
0
21 Jun 2019
Adaptive Learning Rate Clipping Stabilizes Learning
Adaptive Learning Rate Clipping Stabilizes Learning
Jeffrey M. Ede
R. Beanland
54
39
0
21 Jun 2019
Backpropagation-Friendly Eigendecomposition
Backpropagation-Friendly Eigendecomposition
Wei Wang
Zheng Dang
Yinlin Hu
Pascal Fua
Mathieu Salzmann
126
49
0
21 Jun 2019
Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder
Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder
Minkyu Lim
Ji-Hwan Kim
20
1
0
21 Jun 2019
Singing Voice Synthesis Using Deep Autoregressive Neural Networks for
  Acoustic Modeling
Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling
Yuanhao Yi
Yang Ai
Zhenhua Ling
Lirong Dai
56
33
0
21 Jun 2019
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