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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 / 11,200 papers shown
Title
Modelling Early User-Game Interactions for Joint Estimation of Survival
  Time and Churn Probability
Modelling Early User-Game Interactions for Joint Estimation of Survival Time and Churn Probability
Valerio Bonometti
Charles Ringer
Mark Hall
Alex R. Wade
Anders Drachen
62
11
0
27 May 2019
Edge Contraction Pooling for Graph Neural Networks
Edge Contraction Pooling for Graph Neural Networks
Frederik Diehl
GNN
165
131
0
27 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing
  general artificial intelligence
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
146
122
0
27 May 2019
Transcribing Content from Structural Images with Spotlight Mechanism
Transcribing Content from Structural Images with Spotlight Mechanism
Yu Yin
Zhenya Huang
Enhong Chen
Qi Liu
Fuzheng Zhang
Xing Xie
Guoping Hu
48
22
0
27 May 2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and
  Temporal-Guided Embedding
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding
Doyup Lee
Suehun Jung
Yeongjae Cheon
Dongil Kim
Seungil You
AI4TS
56
6
0
26 May 2019
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Farshid Varno
Behrouz Haji Soleimani
Marzie Saghayi
Di-Jorio Lisa
Stan Matwin
AAML
34
6
0
25 May 2019
The Variational InfoMax AutoEncoder
The Variational InfoMax AutoEncoder
Vincenzo Crescimanna
Bruce P. Graham
DRL
66
3
0
25 May 2019
DIVA: Domain Invariant Variational Autoencoders
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
DRLOOD
89
206
0
24 May 2019
From Here to There: Video Inbetweening Using Direct 3D Convolutions
From Here to There: Video Inbetweening Using Direct 3D Convolutions
Yunpeng Li
Dominik Roblek
Marco Tagliasacchi
VGen
70
24
0
24 May 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Amir Najafi
S. Maeda
Masanori Koyama
Takeru Miyato
OOD
92
131
0
24 May 2019
Specialized Decision Surface and Disentangled Feature for
  Weakly-Supervised Polyphonic Sound Event Detection
Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection
Liwei Lin
Xiangdong Wang
Hong Liu
Yueliang Qian
70
42
0
24 May 2019
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel
  Orange
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel Orange
Xiaoye Sun
Gongyang Li
Shaoyun Xu
50
3
0
24 May 2019
EnsembleNet: End-to-End Optimization of Multi-headed Models
EnsembleNet: End-to-End Optimization of Multi-headed Models
Hanhan Li
Joe Yue-Hei Ng
Apostol Natsev
57
16
0
24 May 2019
Precipitation Nowcasting with Satellite Imagery
Precipitation Nowcasting with Satellite Imagery
V. Lebedev
V. Ivashkin
Irina Rudenko
A. Ganshin
A. Molchanov
Sergey Ovcharenko
Ruslan Grokhovetskiy
Ivan Bushmarinov
D. Solomentsev
AI4Cl
81
71
0
23 May 2019
Multi-Sample Dropout for Accelerated Training and Better Generalization
Multi-Sample Dropout for Accelerated Training and Better Generalization
H. Inoue
106
69
0
23 May 2019
Speech2Face: Learning the Face Behind a Voice
Speech2Face: Learning the Face Behind a Voice
Tae-Hyun Oh
Tali Dekel
Changil Kim
Inbar Mosseri
William T. Freeman
Michael Rubinstein
Wojciech Matusik
SSLCVBM
112
165
0
23 May 2019
Multi-Service Mobile Traffic Forecasting via Convolutional Long
  Short-Term Memories
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories
Chaoyun Zhang
M. Fiore
P. Patras
AI4TS
76
31
0
23 May 2019
Network Pruning via Transformable Architecture Search
Network Pruning via Transformable Architecture Search
Xuanyi Dong
Yi Yang
3DPC
81
243
0
23 May 2019
Decentralized Learning of Generative Adversarial Networks from Non-iid
  Data
Decentralized Learning of Generative Adversarial Networks from Non-iid Data
Ryo Yonetani
Tomohiro Takahashi
Atsushi Hashimoto
Yoshitaka Ushiku
92
24
0
23 May 2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in
  Convolutional Networks
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
Xiang Li
Xiaolin Hu
Jian Yang
93
196
0
23 May 2019
Tucker Decomposition Network: Expressive Power and Comparison
Tucker Decomposition Network: Expressive Power and Comparison
Ye Liu
Junjun Pan
Michael K. Ng
31
1
0
23 May 2019
Improving Neural Networks by Adopting Amplifying and Attenuating Neurons
Improving Neural Networks by Adopting Amplifying and Attenuating Neurons
Seongmun Jung
O. Kwon
23
0
0
23 May 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian
  Neural Network
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network
Oscar Chang
Yuling Yao
David Williams-King
Hod Lipson
BDLUQCV
76
8
0
23 May 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object
  Discovery and Curiosity-Driven Exploration
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Nicholas Watters
Loic Matthey
Matko Bosnjak
Christopher P. Burgess
Alexander Lerchner
OffRL
120
118
0
22 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
198
1,437
0
22 May 2019
Fine-grained Optimization of Deep Neural Networks
Fine-grained Optimization of Deep Neural Networks
Mete Ozay
ODL
59
2
0
22 May 2019
What Would You Expect? Anticipating Egocentric Actions with
  Rolling-Unrolling LSTMs and Modality Attention
What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention
Antonino Furnari
G. Farinella
EgoV
139
175
0
22 May 2019
Boundary Learning by Using Weighted Propagation in Convolution Network
Boundary Learning by Using Weighted Propagation in Convolution Network
Boyuan Ma
Chuni Liu
Xiaoyan Wei
Hao Wang
Boyuan Ma
Haiyou Huang
Weihua Xue
Yu Guo
24
16
0
22 May 2019
Survival Function Matching for Calibrated Time-to-Event Predictions
Survival Function Matching for Calibrated Time-to-Event Predictions
Paidamoyo Chapfuwa
Chenyang Tao
Lawrence Carin
Ricardo Henao
OOD
45
4
0
21 May 2019
Mutual Information Maximization in Graph Neural Networks
Mutual Information Maximization in Graph Neural Networks
Xinhan Di
Pengqian Yu
Rui Bu
Mingchao Sun
73
21
0
21 May 2019
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for
  Chinese Word Segmentation
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation
Wei Jiang
Yan Tang
32
4
0
21 May 2019
Dual-branch residual network for lung nodule segmentation
Dual-branch residual network for lung nodule segmentation
Haichao Cao
Hong Liu
E. Song
C. Hung
Guangzhi Ma
Xiangyang Xu
Renchao Jin
Jianguo Lu
43
110
0
21 May 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Egor Zakharov
Aliaksandra Shysheya
Egor Burkov
Victor Lempitsky
3DH
178
631
0
20 May 2019
Zero-Shot Knowledge Distillation in Deep Networks
Zero-Shot Knowledge Distillation in Deep Networks
Gaurav Kumar Nayak
Konda Reddy Mopuri
Vaisakh Shaj
R. Venkatesh Babu
Anirban Chakraborty
75
245
0
20 May 2019
Deep Transfer Learning Methods for Colon Cancer Classification in
  Confocal Laser Microscopy Images
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images
N. Gessert
M. Bengs
L. Wittig
D. Drömann
T. Keck
Alexander Schlaefer
D. Ellebrecht
52
32
0
20 May 2019
Learning Video Representations from Correspondence Proposals
Learning Video Representations from Correspondence Proposals
Xingyu Liu
Joon-Young Lee
Hailin Jin
84
64
0
20 May 2019
DivGraphPointer: A Graph Pointer Network for Extracting Diverse
  Keyphrases
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun
Jian Tang
Pan Du
Zhihong Deng
Jian-Yun Nie
41
53
0
19 May 2019
What Do Adversarially Robust Models Look At?
What Do Adversarially Robust Models Look At?
Takahiro Itazuri
Yoshihiro Fukuhara
Hirokatsu Kataoka
Shigeo Morishima
32
5
0
19 May 2019
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud
  Processing
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing
Chaitanya Kaul
Nick E. Pears
S. Manandhar
3DPC
72
14
0
18 May 2019
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces
Bryan Seybold
Emily Fertig
Alexander A. Alemi
Ian S. Fischer
DRL
92
4
0
17 May 2019
Neural Metric Learning for Fast End-to-End Relation Extraction
Neural Metric Learning for Fast End-to-End Relation Extraction
Tung Tran
Ramakanth Kavuluru
90
38
0
17 May 2019
Spectral Metric for Dataset Complexity Assessment
Spectral Metric for Dataset Complexity Assessment
Frederic Branchaud-Charron
Andrew Achkar
Pierre-Marc Jodoin
52
28
0
17 May 2019
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching
M. Mehltretter
Christian Heipke
3DV
51
16
0
17 May 2019
PoreNet: CNN-based Pore Descriptor for High-resolution Fingerprint
  Recognition
PoreNet: CNN-based Pore Descriptor for High-resolution Fingerprint Recognition
V. Anand
Vivek Kanhangad
35
37
0
16 May 2019
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative
  Adversarial Networks
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
Xingde Ying
Heng Guo
Kai Ma
Jian Wu
Z. Weng
Yefeng Zheng
GANMedIm
72
197
0
16 May 2019
Deep Compressed Sensing
Deep Compressed Sensing
Yan Wu
Mihaela Rosca
Timothy Lillicrap
GAN
107
167
0
16 May 2019
MoGlow: Probabilistic and controllable motion synthesis using
  normalising flows
MoGlow: Probabilistic and controllable motion synthesis using normalising flows
G. Henter
Simon Alexanderson
Jonas Beskow
94
98
0
16 May 2019
STAR: A Concise Deep Learning Framework for Citywide Human Mobility
  Prediction
STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction
Hongnian Wang
Han Su
HAI
43
17
0
16 May 2019
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma,
  glaucoma suspect, and normal eyes
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
Tae Joon Jun
Y. Eom
Dohyeun Kim
Cherry Kim
Ji-Hye Park
Hoang Minh Nguyen
Daeyoung Kim
MedIm
37
28
0
16 May 2019
Automatic Malware Description via Attribute Tagging and Similarity
  Embedding
Automatic Malware Description via Attribute Tagging and Similarity Embedding
Felipe N. Ducau
Ethan M. Rudd
Tad M. Heppner
Alex Long
Konstantin Berlin
68
16
0
15 May 2019
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