ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1502.03167
  4. Cited By
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 / 11,067 papers shown
Title
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE3DV
112
1,363
0
21 Mar 2016
A Fast Unified Model for Parsing and Sentence Understanding
A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman
Jon Gauthier
Abhinav Rastogi
Raghav Gupta
Christopher D. Manning
Christopher Potts
69
314
0
19 Mar 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm3DV
169
3,062
0
18 Mar 2016
Transferring Learned Microcalcification Group Detection from 2D
  Mammography to 3D Digital Breast Tomosynthesis Using a Hierarchical Model and
  Scope-based Normalization Features
Transferring Learned Microcalcification Group Detection from 2D Mammography to 3D Digital Breast Tomosynthesis Using a Hierarchical Model and Scope-based Normalization Features
Yin Yin
S. V. Fotin
Hrishikesh Haldankar
J. Hoffmeister
S. Periaswamy
21
4
0
18 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
130
618
0
17 Mar 2016
Accelerating Deep Neural Network Training with Inconsistent Stochastic
  Gradient Descent
Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent
Linnan Wang
Yi Yang
Martin Renqiang Min
S. Chakradhar
92
93
0
17 Mar 2016
Neural Aggregation Network for Video Face Recognition
Neural Aggregation Network for Video Face Recognition
Jiaolong Yang
Peiran Ren
Dongqing Zhang
Dong Chen
Fang Wen
Hongdong Li
G. Hua
CVBM3DH
106
374
0
17 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
190
4,371
0
16 Mar 2016
Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
76
506
0
16 Mar 2016
Suppressing the Unusual: towards Robust CNNs using Symmetric Activation
  Functions
Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions
Qiyang Zhao
Lewis D. Griffin
AAML
71
28
0
16 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
364
10,212
0
16 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A
  Hybrid Network for Semantic Segmentation
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan
Huatian Zhang
Yangqing Jia
Thomas Breuel
Yizhou Yu
SSeg
75
41
0
15 Mar 2016
Revisiting Batch Normalization For Practical Domain Adaptation
Revisiting Batch Normalization For Practical Domain Adaptation
Yanghao Li
Naiyan Wang
Jianping Shi
Jiaying Liu
Xiaodi Hou
OOD
99
590
0
15 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
294
11,160
0
14 Mar 2016
Learning Typographic Style
Learning Typographic Style
S. Baluja
73
15
0
13 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
69
948
0
10 Mar 2016
Low-rank passthrough neural networks
Low-rank passthrough neural networks
Antonio Valerio Miceli Barone
73
14
0
10 Mar 2016
DROW: Real-Time Deep Learning based Wheelchair Detection in 2D Range
  Data
DROW: Real-Time Deep Learning based Wheelchair Detection in 2D Range Data
Lucas Beyer
Alexander Hermans
Bastian Leibe
55
42
0
08 Mar 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning
  and Large-Scale Data Collection
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine
P. Pastor
A. Krizhevsky
Deirdre Quillen
200
2,076
0
07 Mar 2016
Normalization Propagation: A Parametric Technique for Removing Internal
  Covariate Shift in Deep Networks
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
Devansh Arpit
Yingbo Zhou
Bhargava U. Kota
V. Govindaraju
107
127
0
04 Mar 2016
Learning Physical Intuition of Block Towers by Example
Learning Physical Intuition of Block Towers by Example
Adam Lerer
Sam Gross
Rob Fergus
PINN
101
300
0
03 Mar 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection,
  Landmark Localization, Pose Estimation, and Gender Recognition
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Rajeev Ranjan
Vishal M. Patel
Rama Chellappa
CVBM3DH
107
1,227
0
03 Mar 2016
Learning Functions: When Is Deep Better Than Shallow
Learning Functions: When Is Deep Better Than Shallow
H. Mhaskar
Q. Liao
T. Poggio
103
144
0
03 Mar 2016
Molecular Graph Convolutions: Moving Beyond Fingerprints
Molecular Graph Convolutions: Moving Beyond Fingerprints
S. Kearnes
Kevin McCloskey
Marc Berndl
Vijay S. Pande
Patrick F. Riley
GNN
171
1,451
0
02 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
68
39
0
01 Mar 2016
Scalable and Sustainable Deep Learning via Randomized Hashing
Scalable and Sustainable Deep Learning via Randomized Hashing
Ryan Spring
Anshumali Shrivastava
96
133
0
26 Feb 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
207
1,947
0
25 Feb 2016
Learning values across many orders of magnitude
Learning values across many orders of magnitude
H. V. Hasselt
A. Guez
Matteo Hessel
Volodymyr Mnih
David Silver
88
170
0
24 Feb 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
184
1,947
0
24 Feb 2016
Learning to Generate with Memory
Learning to Generate with Memory
Chongxuan Li
Jun Zhu
Bo Zhang
BDL
123
42
0
24 Feb 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
180
7,510
0
24 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
384
14,301
0
23 Feb 2016
Revise Saturated Activation Functions
Revise Saturated Activation Functions
Bing Xu
Ruitong Huang
Mu Li
77
73
0
18 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
441
17,708
0
17 Feb 2016
Auxiliary Deep Generative Models
Auxiliary Deep Generative Models
Lars Maaløe
C. Sønderby
Søren Kaae Sønderby
Ole Winther
DRLGAN
94
451
0
17 Feb 2016
PlaNet - Photo Geolocation with Convolutional Neural Networks
PlaNet - Photo Geolocation with Convolutional Neural Networks
Tobias Weyand
Ilya Kostrikov
James Philbin
78
421
0
17 Feb 2016
Generating images with recurrent adversarial networks
Generating images with recurrent adversarial networks
Daniel Jiwoong Im
C. Kim
Hui Jiang
Roland Memisevic
GAN
113
223
0
16 Feb 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
222
1,348
0
08 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDLDRL
110
915
0
06 Feb 2016
Improved Dropout for Shallow and Deep Learning
Improved Dropout for Shallow and Deep Learning
Zhe Li
Boqing Gong
Tianbao Yang
BDLSyDa
101
78
0
06 Feb 2016
Strongly-Typed Recurrent Neural Networks
Strongly-Typed Recurrent Neural Networks
David Balduzzi
Muhammad Ghifary
PINN
92
62
0
06 Feb 2016
Recognition of Visually Perceived Compositional Human Actions by
  Multiple Spatio-Temporal Scales Recurrent Neural Networks
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks
Haanvid Lee
Minju Jung
Jun Tani
67
20
0
05 Feb 2016
A Kronecker-factored approximate Fisher matrix for convolution layers
A Kronecker-factored approximate Fisher matrix for convolution layers
Roger C. Grosse
James Martens
ODL
110
265
0
03 Feb 2016
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain
  Adaptation
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Guosen Xie
Xu-Yao Zhang
Shuicheng Yan
Cheng-Lin Liu
ObjD
81
150
0
29 Jan 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
192
2,079
0
31 Dec 2015
Learning Local Image Descriptors with Deep Siamese and Triplet
  Convolutional Networks by Minimising Global Loss Functions
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
B. V. Kumar
G. Carneiro
Ian Reid
SSL
101
312
0
31 Dec 2015
Structured Pruning of Deep Convolutional Neural Networks
Structured Pruning of Deep Convolutional Neural Networks
S. Anwar
Kyuyeon Hwang
Wonyong Sung
143
749
0
29 Dec 2015
Visually Indicated Sounds
Visually Indicated Sounds
Andrew Owens
Phillip Isola
Josh H. McDermott
Antonio Torralba
Edward H. Adelson
William T. Freeman
122
386
0
28 Dec 2015
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
248
5,253
0
22 Dec 2015
Beyond Classification: Latent User Interests Profiling from Visual
  Contents Analysis
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis
Longqi Yang
C. Hsieh
D. Estrin
32
25
0
21 Dec 2015
Previous
123...218219220221222
Next