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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 / 11,181 papers shown
Title
Signal Combination for Language Identification
Signal Combination for Language Identification
Shengye Wang
Li Wan
Yang Yu
Ignacio López Moreno
67
12
0
21 Oct 2019
Self-Attentive Document Interaction Networks for Permutation Equivariant
  Ranking
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking
Rama Kumar Pasumarthi
Xuanhui Wang
Michael Bendersky
Marc Najork
64
17
0
21 Oct 2019
Multiphase flow prediction with deep neural networks
Multiphase flow prediction with deep neural networks
Gege Wen
Meng Tang
S. Benson
60
6
0
21 Oct 2019
Kernelized Wasserstein Natural Gradient
Kernelized Wasserstein Natural Gradient
Michael Arbel
Arthur Gretton
Wuchen Li
Guido Montúfar
68
23
0
21 Oct 2019
Icentia11K: An Unsupervised Representation Learning Dataset for
  Arrhythmia Subtype Discovery
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Shawn Tan
Guillaume Androz
A. Chamseddine
P. Fecteau
Aaron Courville
Yoshua Bengio
Joseph Paul Cohen
54
29
0
21 Oct 2019
Object landmark discovery through unsupervised adaptation
Object landmark discovery through unsupervised adaptation
Enrique Sanchez
Georgios Tzimiropoulos
66
22
0
21 Oct 2019
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep
  Learning
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning
Tarin Clanuwat
Alex Lamb
A. Kitamoto
44
46
0
21 Oct 2019
Automatic Generation of Multi-precision Multi-arithmetic CNN
  Accelerators for FPGAs
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs
Yiren Zhao
Xitong Gao
Xuan Guo
Junyi Liu
Erwei Wang
Robert D. Mullins
P. Cheung
George A. Constantinides
Chengzhong Xu
MQ
46
31
0
21 Oct 2019
Regularization Matters in Policy Optimization
Regularization Matters in Policy Optimization
Zhuang Liu
Xuanlin Li
Bingyi Kang
Trevor Darrell
OffRL
83
33
0
21 Oct 2019
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames
  Prediction
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction
Mohamed Chaabane
A. Trabelsi
Nathaniel Blanchard
Ross Beveridge
60
55
0
20 Oct 2019
Deep speech inpainting of time-frequency masks
Deep speech inpainting of time-frequency masks
M. Kegler
P. Beckmann
Milos Cernak
61
38
0
20 Oct 2019
Mitigating Overfitting in Supervised Classification from Two Unlabeled
  Datasets: A Consistent Risk Correction Approach
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach
Nan Lu
Tianyi Zhang
Gang Niu
Masashi Sugiyama
112
56
0
20 Oct 2019
Personalized Graph Neural Networks with Attention Mechanism for
  Session-Aware Recommendation
Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation
Mengqi Zhang
Shu Wu
Meng Gao
Xin Jiang
Ke Xu
Liang Wang
83
43
0
20 Oct 2019
LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of
  Hyperspectral Imagery
LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery
Megh Shukla
Biplab Banerjee
K. Buddhiraju
29
2
0
19 Oct 2019
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video
  Coding
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding
Jan P. Klopp
Liang-Gee Chen
Shao-Yi Chien
73
11
0
19 Oct 2019
Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data
Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data
Kevin Hsieh
SyDaOOD
48
4
0
18 Oct 2019
MARTHE: Scheduling the Learning Rate Via Online Hypergradients
MARTHE: Scheduling the Learning Rate Via Online Hypergradients
Michele Donini
Luca Franceschi
Massimiliano Pontil
Orchid Majumder
P. Frasconi
48
7
0
18 Oct 2019
Privacy-preserving Federated Bayesian Learning of a Generative Model for
  Imbalanced Classification of Clinical Data
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data
S. Hahn
Junghye Lee
FedML
36
5
0
18 Oct 2019
On Warm-Starting Neural Network Training
On Warm-Starting Neural Network Training
Jordan T. Ash
Ryan P. Adams
AI4CE
58
21
0
18 Oct 2019
Relational Graph Representation Learning for Open-Domain Question
  Answering
Relational Graph Representation Learning for Open-Domain Question Answering
Sal Vivona
Kaveh Hassani
GNNNAI
67
10
0
18 Oct 2019
Mirror Descent View for Neural Network Quantization
Mirror Descent View for Neural Network Quantization
Thalaiyasingam Ajanthan
Kartik Gupta
Philip Torr
Leonid Sigal
P. Dokania
MQ
72
25
0
18 Oct 2019
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL3DPC
172
196
0
18 Oct 2019
Video Person Re-Identification using Learned Clip Similarity Aggregation
Video Person Re-Identification using Learned Clip Similarity Aggregation
Neeraj Matiyali
Gaurav Sharma
54
7
0
17 Oct 2019
H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical
  Attention Model
H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model
Yanpei Shi
Qiang Huang
Thomas Hain
79
18
0
17 Oct 2019
Mutual Information-driven Subject-invariant and Class-relevant Deep
  Representation Learning in BCI
Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI
Eunjin Jeon
Wonjun Ko
Jee Seok Yoon
Heung-Il Suk
OOD
41
0
0
17 Oct 2019
Deformable Kernel Networks for Joint Image Filtering
Deformable Kernel Networks for Joint Image Filtering
Beomjun Kim
Jean Ponce
Bumsub Ham
117
131
0
17 Oct 2019
Optimal Transport Based Generative Autoencoders
Optimal Transport Based Generative Autoencoders
Oliver Zhang
Ruei-Sung Lin
Yuchuan Gou
GANDRL
49
2
0
16 Oct 2019
Contextual Joint Factor Acoustic Embeddings
Contextual Joint Factor Acoustic Embeddings
Yanpei Shi
Thomas Hain
45
3
0
16 Oct 2019
Root Mean Square Layer Normalization
Root Mean Square Layer Normalization
Biao Zhang
Rico Sennrich
125
767
0
16 Oct 2019
An Exponential Learning Rate Schedule for Deep Learning
An Exponential Learning Rate Schedule for Deep Learning
Zhiyuan Li
Sanjeev Arora
74
219
0
16 Oct 2019
Audio-Conditioned U-Net for Position Estimation in Full Sheet Images
Audio-Conditioned U-Net for Position Estimation in Full Sheet Images
Florian Henkel
Rainer Kelz
Gerhard Widmer
36
5
0
16 Oct 2019
Aerial Images Processing for Car Detection using Convolutional Neural
  Networks: Comparison between Faster R-CNN and YoloV3
Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3
Adel Ammar
Anis Koubaa
Mohanned Ahmed
Abdulrahman Saad
Bilel Benjdira
124
91
0
16 Oct 2019
Design, Benchmarking and Explainability Analysis of a Game-Theoretic
  Framework towards Energy Efficiency in Smart Infrastructure
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure
Ioannis C. Konstantakopoulos
Hari Prasanna Das
Andrew R. Barkan
Shiying He
Tanya Veeravalli
Huihan Liu
Aummul Baneen Manasawala
Yu-Wen Lin
C. Spanos
73
21
0
16 Oct 2019
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
Ke Lei
Morteza Mardani
John M. Pauly
S. Vasanawala
GANMedIm
118
65
0
15 Oct 2019
The Local Elasticity of Neural Networks
The Local Elasticity of Neural Networks
Hangfeng He
Weijie J. Su
149
46
0
15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPCGNN
98
176
0
15 Oct 2019
Learning Generalisable Omni-Scale Representations for Person
  Re-Identification
Learning Generalisable Omni-Scale Representations for Person Re-Identification
Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
119
226
0
15 Oct 2019
Towards a Precipitation Bias Corrector against Noise and Maldistribution
Towards a Precipitation Bias Corrector against Noise and Maldistribution
Xiaoyang Xu
Yiqun Liu
Hanqing Chao
Youcheng Luo
Hai Chu
Lei Chen
Junping Zhang
Leiming Ma
49
5
0
15 Oct 2019
SafeCritic: Collision-Aware Trajectory Prediction
SafeCritic: Collision-Aware Trajectory Prediction
T. V. D. Heiden
N. S. Nagaraja
Christian Weiss
E. Gavves
AAML
89
20
0
15 Oct 2019
Target-Oriented Deformation of Visual-Semantic Embedding Space
Target-Oriented Deformation of Visual-Semantic Embedding Space
Takashi Matsubara
55
7
0
15 Oct 2019
Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating
  Referee
Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee
Shuangjie Xu
Feng Xu
Yu Cheng
Pan Zhou
33
2
0
14 Oct 2019
Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot
  End Effector Position
Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot End Effector Position
Haonan Peng
Xingjian Yang
Yun-Hsuan Su
Blake Hannaford
60
28
0
14 Oct 2019
FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
Jigar Doshi
Dominic Garcia
Cliff Massey
Pablo Llueca
Nicolas Borensztein
Michael Baird
Matthew Cook
Devaki Raj
63
11
0
14 Oct 2019
Finding New Diagnostic Information for Detecting Glaucoma using Neural
  Networks
Finding New Diagnostic Information for Detecting Glaucoma using Neural Networks
Erfan Noury
Suria S. Mannil
R. Chang
A. Ran
C. Cheung
...
M. Riyazuddin
Dolly Chang
Sriharsha Nagaraj
Clement C. Tham
R. Zadeh
44
3
0
14 Oct 2019
Confidence-Calibrated Adversarial Training: Generalizing to Unseen
  Attacks
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
David Stutz
Matthias Hein
Bernt Schiele
AAML
89
5
0
14 Oct 2019
Two-sample Testing Using Deep Learning
Two-sample Testing Using Deep Learning
Matthias Kirchler
S. Khorasani
Marius Kloft
C. Lippert
95
38
0
14 Oct 2019
ReActNet: Temporal Localization of Repetitive Activities in Real-World
  Videos
ReActNet: Temporal Localization of Repetitive Activities in Real-World Videos
Giorgos Karvounas
Iason Oikonomidis
Antonis Argyros
51
11
0
14 Oct 2019
Coordination of PV Smart Inverters Using Deep Reinforcement Learning for
  Grid Voltage Regulation
Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation
Changfu Li
Chenrui Jin
Ratnesh K. Sharma
39
44
0
14 Oct 2019
Transformers without Tears: Improving the Normalization of
  Self-Attention
Transformers without Tears: Improving the Normalization of Self-Attention
Toan Q. Nguyen
Julian Salazar
96
231
0
14 Oct 2019
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and
  Feature Alignment
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
Guanán Wang
Tianzhu Zhang
Jian Cheng
Si Liu
Yang Yang
Zeng-Huang Hou
GAN
121
368
0
13 Oct 2019
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