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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 / 11,264 papers shown
Title
Towards Principled Uncertainty Estimation for Deep Neural Networks
Towards Principled Uncertainty Estimation for Deep Neural Networks
Richard E. Harang
Ethan M. Rudd
BDLUQCV
83
6
0
29 Oct 2018
Few-shot 3D Multi-modal Medical Image Segmentation using Generative
  Adversarial Learning
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Arnab Kumar Mondal
Jose Dolz
Christian Desrosiers
GANMedIm
101
120
0
29 Oct 2018
DeepSphere: Efficient spherical Convolutional Neural Network with
  HEALPix sampling for cosmological applications
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanael Perraudin
M. Defferrard
T. Kacprzak
R. Sgier
104
172
0
29 Oct 2018
Unsupervised Data Selection for Supervised Learning
Gabriele Valvano
Andrea Leo
D. Latta
N. Martini
Gianmarco Santini
D. Chiappino
E. Ricciardi
36
1
0
29 Oct 2018
Learning How to Listen: A Temporal-Frequential Attention Model for Sound
  Event Detection
Learning How to Listen: A Temporal-Frequential Attention Model for Sound Event Detection
Yuhan Shen
Ke-Xin He
Weiqiang Zhang
40
18
0
29 Oct 2018
Mean-field theory of graph neural networks in graph partitioning
Mean-field theory of graph neural networks in graph partitioning
T. Kawamoto
Masashi Tsubaki
T. Obuchi
117
58
0
29 Oct 2018
Enhanced CNN for image denoising
Enhanced CNN for image denoising
Chunwei Tian
Yong-mei Xu
Lunke Fei
Junqian Wang
Haizhang Zou
Nan Luo
78
148
0
28 Oct 2018
Discrimination-aware Channel Pruning for Deep Neural Networks
Discrimination-aware Channel Pruning for Deep Neural Networks
Zhuangwei Zhuang
Mingkui Tan
Bohan Zhuang
Jing Liu
Yong Guo
Qingyao Wu
Junzhou Huang
Jin-Hui Zhu
162
601
0
28 Oct 2018
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action
  Localization
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization
Haisheng Su
Xu Zhao
Tianwei Lin
107
27
0
28 Oct 2018
Deep Affinity Network for Multiple Object Tracking
Deep Affinity Network for Multiple Object Tracking
Shijie Sun
Naveed Akhtar
Huansheng Song
Ajmal Mian
M. Shah
VOT
68
333
0
28 Oct 2018
A Convex Duality Framework for GANs
A Convex Duality Framework for GANs
Farzan Farnia
David Tse
GAN
70
63
0
28 Oct 2018
A Methodology for Automatic Selection of Activation Functions to Design
  Hybrid Deep Neural Networks
A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks
Alberto Marchisio
Muhammad Abdullah Hanif
Semeen Rehman
Maurizio Martina
Mohamed Bennai
42
11
0
27 Oct 2018
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings
Gil Keren
Jing Han
Björn Schuller
71
14
0
26 Oct 2018
Fine-grained Video Categorization with Redundancy Reduction Attention
Fine-grained Video Categorization with Redundancy Reduction Attention
Chen Zhu
Xiao Tan
Feng Zhou
Xiao-Chang Liu
Kaiyu Yue
Errui Ding
Yi-An Ma
73
48
0
26 Oct 2018
Batch Normalization Sampling
Batch Normalization Sampling
Zhaodong Chen
Lei Deng
Guoqi Li
Jiawei Sun
Xing Hu
Xin Ma
Yuan Xie
55
0
0
25 Oct 2018
Training of a Skull-Stripping Neural Network with efficient data
  augmentation
Training of a Skull-Stripping Neural Network with efficient data augmentation
Gabriele Valvano
N. Martini
Andrea Leo
Gianmarco Santini
D. Latta
E. Ricciardi
D. Chiappino
17
3
0
25 Oct 2018
K for the Price of 1: Parameter-efficient Multi-task and Transfer
  Learning
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning
Pramod Kaushik Mudrakarta
Mark Sandler
A. Zhmoginov
Andrew G. Howard
89
69
0
25 Oct 2018
Structure Learning of Deep Networks via DNA Computing Algorithm
Structure Learning of Deep Networks via DNA Computing Algorithm
G. Zhong
Tao Li
Wenxue Liu
Yang Chen
38
4
0
25 Oct 2018
Machine Learning Algorithms for Classification of Microcirculation
  Images from Septic and Non-Septic Patients
Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-Septic Patients
Perikumar Javia
Lukasz Tulczyjew
Michal Marcinkiewicz
J. Nalepa
23
13
0
24 Oct 2018
Deblending galaxy superpositions with branched generative adversarial
  networks
Deblending galaxy superpositions with branched generative adversarial networks
D. Reiman
Brett E. Göhre
GAN
109
38
0
23 Oct 2018
GhostVLAD for set-based face recognition
GhostVLAD for set-based face recognition
Yujie Zhong
Relja Arandjelović
Andrew Zisserman
VLMCVBM
92
84
0
23 Oct 2018
Dynamic Likelihood-free Inference via Ratio Estimation (DIRE)
Dynamic Likelihood-free Inference via Ratio Estimation (DIRE)
Traiko Dinev
Michael U. Gutmann
158
27
0
23 Oct 2018
LoGAN: Generating Logos with a Generative Adversarial Neural Network
  Conditioned on color
LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on color
Ajkel Mino
Gerasimos Spanakis
GANVLM
67
28
0
23 Oct 2018
Two-path 3D CNNs for calibration of system parameters for OCT-based
  motion compensation
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation
N. Gessert
M. Gromniak
M. Schlüter
Alexander Schlaefer
36
2
0
22 Oct 2018
A Fully Attention-Based Information Retriever
A Fully Attention-Based Information Retriever
Alvaro H. C. Correia
Jorge Luiz Moreira Silva
Thiago de C. Martins
Fabio Gagliardi Cozman
63
4
0
22 Oct 2018
A jamming transition from under- to over-parametrization affects loss
  landscape and generalization
A jamming transition from under- to over-parametrization affects loss landscape and generalization
S. Spigler
Mario Geiger
Stéphane dÁscoli
Levent Sagun
Giulio Biroli
Matthieu Wyart
100
150
0
22 Oct 2018
Can We Gain More from Orthogonality Regularizations in Training Deep
  CNNs?
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal
Xiaohan Chen
Zhangyang Wang
OOD
122
188
0
22 Oct 2018
A Comparison of Five Multiple Instance Learning Pooling Functions for
  Sound Event Detection with Weak Labeling
A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling
Yun Wang
Juncheng Billy Li
Florian Metze
122
185
0
22 Oct 2018
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural
  Network for Video Interpolation and Enhancement
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement
Wenbo Bao
Wei-Sheng Lai
Xiaoyun Zhang
Zhiyong Gao
Ming-Hsuan Yang
100
323
0
20 Oct 2018
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
Brady Neal
Sarthak Mittal
A. Baratin
Vinayak Tantia
Matthew Scicluna
Simon Lacoste-Julien
Ioannis Mitliagkas
87
168
0
19 Oct 2018
Gradient target propagation
Gradient target propagation
T. S. Farias
Jonas Maziero
49
3
0
19 Oct 2018
MsCGAN: Multi-scale Conditional Generative Adversarial Networks for
  Person Image Generation
MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation
Wei Tang
Teng Li
Fudong Nian
Ming Wang
GAN
37
10
0
19 Oct 2018
ScratchDet: Training Single-Shot Object Detectors from Scratch
ScratchDet: Training Single-Shot Object Detectors from Scratch
Rui Zhu
Shifeng Zhang
Xiaobo Wang
Longyin Wen
Hailin Shi
Liefeng Bo
Tao Mei
ObjD
115
125
0
19 Oct 2018
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language
  Learning
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert
Dzmitry Bahdanau
Salem Lahlou
Lucas Willems
Chitwan Saharia
Thien Huu Nguyen
Yoshua Bengio
ELM
141
241
0
18 Oct 2018
KTAN: Knowledge Transfer Adversarial Network
KTAN: Knowledge Transfer Adversarial Network
Peiye Liu
Wu Liu
Huadong Ma
Tao Mei
Mingoo Seok
GAN
86
28
0
18 Oct 2018
Implicit Dual-domain Convolutional Network for Robust Color Image
  Compression Artifact Reduction
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
Bolun Zheng
Yao-wu Chen
Xiang Tian
Fan Zhou
Xuesong Liu
92
79
0
18 Oct 2018
S-Net: A Scalable Convolutional Neural Network for JPEG Compression
  Artifact Reduction
S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction
Bolun Zheng
Rui Sun
Xiang Tian
Yao-wu Chen
69
21
0
18 Oct 2018
Deep neural network based i-vector mapping for speaker verification
  using short utterances
Deep neural network based i-vector mapping for speaker verification using short utterances
Jinxi Guo
N. Xu
Kailun Qian
Yang Shi
Kaiyuan Xu
Yingnian Wu
Abeer Alwan
57
24
0
16 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren
Renjie Liao
Ethan Fetaya
R. Zemel
CLL
110
182
0
16 Oct 2018
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in
  Higher Dimensions
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions
Muhammad Kamran Janjua
Shah Nawaz
Alessandro Calefati
I. Gallo
25
0
0
16 Oct 2018
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation
Song Li
Geoffrey Tso
SSeg
37
17
0
16 Oct 2018
Deep Metric Learning with Hierarchical Triplet Loss
Deep Metric Learning with Hierarchical Triplet Loss
Weifeng Ge
Weilin Huang
Dengke Dong
Matthew R. Scott
204
415
0
16 Oct 2018
Collaborative Deep Learning Across Multiple Data Centers
Collaborative Deep Learning Across Multiple Data Centers
Kele Xu
Haibo Mi
Dawei Feng
Huaimin Wang
Chuan Chen
Zibin Zheng
Xu Lan
FedML
344
18
0
16 Oct 2018
Semantic Aware Attention Based Deep Object Co-segmentation
Semantic Aware Attention Based Deep Object Co-segmentation
Hong Chen
Yifei Huang
Hideki Nakayama
SSeg
67
73
0
16 Oct 2018
Quasi-hyperbolic momentum and Adam for deep learning
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
165
130
0
16 Oct 2018
Approximate Fisher Information Matrix to Characterise the Training of
  Deep Neural Networks
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks
Zhibin Liao
Tom Drummond
Ian Reid
G. Carneiro
82
23
0
16 Oct 2018
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Chia-Chun Hung
Timothy Lillicrap
Josh Abramson
Yan Wu
M. Berk Mirza
Federico Carnevale
Arun Ahuja
Greg Wayne
116
124
0
15 Oct 2018
Learning to Segment Corneal Tissue Interfaces in OCT Images
Learning to Segment Corneal Tissue Interfaces in OCT Images
T. Mathai
K. Lathrop
J. Galeotti
74
20
0
15 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
144
0
15 Oct 2018
Deep Photovoltaic Nowcasting
Deep Photovoltaic Nowcasting
Jinsong Zhang
Rodrigo Verschae
S. Nobuhara
Jean-François Lalonde
60
160
0
15 Oct 2018
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