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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 / 11,282 papers shown
Title
Large-scale detection and categorization of oil spills from SAR images
  with deep learning
Large-scale detection and categorization of oil spills from SAR images with deep learning
F. Bianchi
M. M. Espeseth
N. Borch
31
70
0
24 Jun 2020
When Do Neural Networks Outperform Kernel Methods?
When Do Neural Networks Outperform Kernel Methods?
Behrooz Ghorbani
Song Mei
Theodor Misiakiewicz
Andrea Montanari
137
189
0
24 Jun 2020
Spherical Perspective on Learning with Normalization Layers
Spherical Perspective on Learning with Normalization Layers
Simon Roburin
Yann de Mont-Marin
Andrei Bursuc
Renaud Marlet
P. Pérez
Mathieu Aubry
63
6
0
23 Jun 2020
Rescaling Egocentric Vision
Rescaling Egocentric Vision
Dima Damen
Hazel Doughty
G. Farinella
Antonino Furnari
Evangelos Kazakos
...
Davide Moltisanti
Jonathan Munro
Toby Perrett
Will Price
Michael Wray
EgoV
182
471
0
23 Jun 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical
  Predictors
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch
Oleh Rybkin
F. Ebert
Chelsea Finn
Dinesh Jayaraman
Sergey Levine
89
73
0
23 Jun 2020
Facing the Hard Problems in FGVC
Facing the Hard Problems in FGVC
Connor Anderson
M. Gwilliam
Adam Teuscher
Andrew Merrill
Ryan Farrell
48
5
1
23 Jun 2020
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation
Elias Kassapis
G. Dikov
D. K. Gupta
C. Nugteren
92
17
0
23 Jun 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement
  Learning
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning
Roberta Raileanu
M. Goldstein
Denis Yarats
Ilya Kostrikov
Rob Fergus
OffRL
65
110
0
23 Jun 2020
PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
Kanglin Liu
Qing Li
Guoping Qiu
GAN
60
19
0
23 Jun 2020
Lessons Learned from Designing an AI-Enabled Diagnosis Tool for
  Pathologists
Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists
H. Gu
Jingbin Huang
Lauren Hung
Xiang Ánthony' Chen
104
51
0
23 Jun 2020
AFDet: Anchor Free One Stage 3D Object Detection
AFDet: Anchor Free One Stage 3D Object Detection
Runzhou Ge
Zhuangzhuang Ding
Yihan Hu
Yu Wang
Sijia Chen
Li Huang
Yuan Li
3DPC
111
111
0
23 Jun 2020
Convolutional-network models to predict wall-bounded turbulence from
  wall quantities
Convolutional-network models to predict wall-bounded turbulence from wall quantities
L. Guastoni
A. Güemes
A. Ianiro
S. Discetti
P. Schlatter
Hossein Azizpour
R. Vinuesa
60
169
0
22 Jun 2020
Revisiting Loss Modelling for Unstructured Pruning
Revisiting Loss Modelling for Unstructured Pruning
César Laurent
Camille Ballas
Thomas George
Nicolas Ballas
Pascal Vincent
76
14
0
22 Jun 2020
Facial Expression Editing with Continuous Emotion Labels
Facial Expression Editing with Continuous Emotion Labels
Alexandra Lindt
Pablo V. A. Barros
Henrique Siqueira
S. Wermter
CVBM
79
29
0
22 Jun 2020
DO-Conv: Depthwise Over-parameterized Convolutional Layer
DO-Conv: Depthwise Over-parameterized Convolutional Layer
Jinming Cao
Yangyan Li
Mingchao Sun
Ying-Cong Chen
Dani Lischinski
Daniel Cohen-Or
Baoquan Chen
Changhe Tu
OOD
101
173
0
22 Jun 2020
Self-Knowledge Distillation with Progressive Refinement of Targets
Self-Knowledge Distillation with Progressive Refinement of Targets
Kyungyul Kim
Byeongmoon Ji
Doyoung Yoon
Sangheum Hwang
ODL
93
184
0
22 Jun 2020
Generalisation Guarantees for Continual Learning with Orthogonal
  Gradient Descent
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent
Mehdi Abbana Bennani
Thang Doan
Masashi Sugiyama
CLL
141
65
0
21 Jun 2020
Gradient-EM Bayesian Meta-learning
Gradient-EM Bayesian Meta-learning
Yayi Zou
Xiaoqi Lu
BDL
103
15
0
21 Jun 2020
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture
  Search
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang
Yuzhu Sun
Qian Zhang
Kangjian Peng
Yuan Li
Wenyu Liu
Xinggang Wang
SSeg
123
34
0
21 Jun 2020
To Explain or Not to Explain: A Study on the Necessity of Explanations
  for Autonomous Vehicles
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles
Yuan-Chung Shen
Shanduojiao Jiang
Yanlin Chen
Katie Driggs Campbell
82
42
0
21 Jun 2020
Towards Understanding Label Smoothing
Towards Understanding Label Smoothing
Yi Tian Xu
Yuanhong Xu
Qi Qian
Hao Li
Rong Jin
UQCV
55
42
0
20 Jun 2020
Deep Polynomial Neural Networks
Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Jiankang Deng
Yannis Panagakis
Stefanos Zafeiriou
93
94
0
20 Jun 2020
AraDIC: Arabic Document Classification using Image-Based Character
  Embeddings and Class-Balanced Loss
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss
Mahmoud Daif
Shunsuke Kitada
Hitoshi Iyatomi
VLM
53
3
0
20 Jun 2020
Pyramidal Convolution: Rethinking Convolutional Neural Networks for
  Visual Recognition
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
Ionut Cosmin Duta
Li Liu
Fan Zhu
Ling Shao
70
198
0
20 Jun 2020
Predicting Temporal Sets with Deep Neural Networks
Predicting Temporal Sets with Deep Neural Networks
Le Yu
Leilei Sun
Bowen Du
Chuanren Liu
Hui Xiong
Weifeng Lv
89
45
0
20 Jun 2020
Center-based 3D Object Detection and Tracking
Center-based 3D Object Detection and Tracking
Tianwei Yin
Xingyi Zhou
Philipp Krahenbuhl
3DPC
131
1,624
0
19 Jun 2020
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Duo Wang
M. Jamnik
Pietro Lio
60
66
0
19 Jun 2020
A general framework for defining and optimizing robustness
A general framework for defining and optimizing robustness
Alessandro Tibo
M. Jaeger
Kim G. Larsen
31
0
0
19 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under
  Covariate Shift
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
Zachary Nado
Shreyas Padhy
D. Sculley
Alexander DÁmour
Balaji Lakshminarayanan
Jasper Snoek
OODAI4TS
149
251
0
19 Jun 2020
COVIDLite: A depth-wise separable deep neural network with white balance
  and CLAHE for detection of COVID-19
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19
Manu Siddhartha
Avik Santra
52
44
0
19 Jun 2020
Sparse GPU Kernels for Deep Learning
Sparse GPU Kernels for Deep Learning
Trevor Gale
Matei A. Zaharia
C. Young
Erich Elsen
99
234
0
18 Jun 2020
CoinPolice:Detecting Hidden Cryptojacking Attacks with Neural Networks
CoinPolice:Detecting Hidden Cryptojacking Attacks with Neural Networks
I. Petrov
Luca Invernizzi
Elie Bursztein
126
16
0
18 Jun 2020
Image classification in frequency domain with 2SReLU: a second harmonics
  superposition activation function
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function
Thomio Watanabe
D. Wolf
74
23
0
18 Jun 2020
Spin-Weighted Spherical CNNs
Spin-Weighted Spherical CNNs
Carlos Esteves
A. Makadia
Kostas Daniilidis
106
70
0
18 Jun 2020
Tent: Fully Test-time Adaptation by Entropy Minimization
Tent: Fully Test-time Adaptation by Entropy Minimization
Dequan Wang
Evan Shelhamer
Shaoteng Liu
Bruno A. Olshausen
Trevor Darrell
OOD
142
53
0
18 Jun 2020
STEER: Simple Temporal Regularization For Neural ODEs
STEER: Simple Temporal Regularization For Neural ODEs
Arna Ghosh
Harkirat Singh Behl
Emilien Dupont
Philip Torr
Vinay P. Namboodiri
BDLAI4TS
104
75
0
18 Jun 2020
Set Distribution Networks: a Generative Model for Sets of Images
Set Distribution Networks: a Generative Model for Sets of Images
Shuangfei Zhai
Walter A. Talbott
Miguel Angel Bautista
Carlos Guestrin
J. Susskind
GAN
56
2
0
18 Jun 2020
Contrastive learning of global and local features for medical image
  segmentation with limited annotations
Contrastive learning of global and local features for medical image segmentation with limited annotations
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
97
554
0
18 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels?
What Do Neural Networks Learn When Trained With Random Labels?
Hartmut Maennel
Ibrahim Alabdulmohsin
Ilya O. Tolstikhin
R. Baldock
Olivier Bousquet
Sylvain Gelly
Daniel Keysers
FedML
171
90
0
18 Jun 2020
Hyperspectral Image Super-resolution via Deep Progressive Zero-centric
  Residual Learning
Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning
Zhiyu Zhu
Xianqiang Lyu
Jie Chen
Huanqiang Zeng
Jiantao Zhou
SupR
85
73
0
18 Jun 2020
Progressively Unfreezing Perceptual GAN
Progressively Unfreezing Perceptual GAN
Jinxuan Sun
Yang Chen
Junyu Dong
G. Zhong
GAN
69
1
0
18 Jun 2020
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and
  Triplet Loss
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
Yurun Tian
Axel Barroso Laguna
Tony Ng
Vassileios Balntas
K. Mikolajczyk
142
5
0
17 Jun 2020
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
147
478
0
17 Jun 2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data
  Distillation and Augmentation
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation
D. Lu
N. Polomac
Iskra Gacheva
E. Hattingen
Jochen Triesch
42
19
0
17 Jun 2020
Contrastive Learning for Weakly Supervised Phrase Grounding
Contrastive Learning for Weakly Supervised Phrase Grounding
Tanmay Gupta
Arash Vahdat
Gal Chechik
Xiaodong Yang
Jan Kautz
Derek Hoiem
ObjDSSL
182
144
0
17 Jun 2020
Neural Ordinary Differential Equation Control of Dynamics on Graphs
Neural Ordinary Differential Equation Control of Dynamics on Graphs
Thomas Asikis
Lucas Böttcher
Nino Antulov-Fantulin
101
44
0
17 Jun 2020
Neural Anisotropy Directions
Neural Anisotropy Directions
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
107
16
0
17 Jun 2020
Cross-Correlated Attention Networks for Person Re-Identification
Cross-Correlated Attention Networks for Person Re-Identification
Jieming Zhou
S. Roy
Pengfei Fang
Mehrtash Harandi
L. Petersson
56
16
0
17 Jun 2020
Data Driven Control with Learned Dynamics: Model-Based versus Model-Free
  Approach
Data Driven Control with Learned Dynamics: Model-Based versus Model-Free Approach
Wenjian Hao
Yiqiang Han
45
6
0
16 Jun 2020
Gradient Amplification: An efficient way to train deep neural networks
Gradient Amplification: An efficient way to train deep neural networks
S. Basodi
Chunyan Ji
Haiping Zhang
Yi Pan
ODL
55
116
0
16 Jun 2020
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