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

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

11 February 2015
Sergey Ioffe
Christian Szegedy
    OOD
ArXivPDFHTML

Papers citing "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift"

50 / 7,472 papers shown
Title
Enhancing Underwater Imagery using Generative Adversarial Networks
Enhancing Underwater Imagery using Generative Adversarial Networks
C. Fabbri
M. Islam
Junaed Sattar
GAN
33
562
0
11 Jan 2018
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
26
746
0
10 Jan 2018
Moments in Time Dataset: one million videos for event understanding
Moments in Time Dataset: one million videos for event understanding
Mathew Monfort
A. Andonian
Bolei Zhou
K. Ramakrishnan
Sarah Adel Bargal
...
L. Brown
Quanfu Fan
Dan Gutfreund
Carl Vondrick
A. Oliva
47
538
0
09 Jan 2018
Data Augmentation by Pairing Samples for Images Classification
Data Augmentation by Pairing Samples for Images Classification
H. Inoue
28
420
0
09 Jan 2018
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
W. Chen
James Hays
GAN
28
305
0
09 Jan 2018
Boundary Optimizing Network (BON)
Boundary Optimizing Network (BON)
Marco Singh
A. Pai
22
0
0
08 Jan 2018
Learning Tree-based Deep Model for Recommender Systems
Learning Tree-based Deep Model for Recommender Systems
Ziru Xu
Xiang Li
Pengye Zhang
Guozheng Li
Jie He
Han Li
Kun Gai
24
286
0
08 Jan 2018
Deep Fingerprinting: Undermining Website Fingerprinting Defenses with
  Deep Learning
Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning
Payap Sirinam
Mohsen Imani
Marc Juárez
M. Wright
19
453
0
07 Jan 2018
2D-Densely Connected Convolution Neural Networks for automatic Liver and
  Tumor Segmentation
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation
Krishna Chaitanya Kaluva
Mahendra Khened
Avinash Kori
Ganapathy Krishnamurthi
MedIm
38
53
0
05 Jan 2018
Multi-Scale Attention with Dense Encoder for Handwritten Mathematical
  Expression Recognition
Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition
Jianshu Zhang
Jun Du
Lirong Dai
32
123
0
05 Jan 2018
What have we learned from deep representations for action recognition?
What have we learned from deep representations for action recognition?
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
Andrew Zisserman
SSL
28
47
0
04 Jan 2018
Semantic Segmentation via Highly Fused Convolutional Network with
  Multiple Soft Cost Functions
Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions
Tao Yang
Yan Wu
Junqiao Zhao
Linting Guan
SSeg
57
37
0
04 Jan 2018
Accelerating Deep Learning with Memcomputing
Accelerating Deep Learning with Memcomputing
Haik Manukian
F. Traversa
M. Di Ventra
AI4CE
33
33
0
01 Jan 2018
Script Identification in Natural Scene Image and Video Frame using
  Attention based Convolutional-LSTM Network
Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network
A. Bhunia
Aishik Konwer
A. Bhunia
A. Bhowmick
P. Roy
Umapada Pal
27
124
0
01 Jan 2018
Towards automated patient data cleaning using deep learning: A
  feasibility study on the standardization of organ labeling
Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling
T. Rozario
T. Long
Mingli Chen
W. Lu
Steve B. Jiang
17
9
0
30 Dec 2017
Gradient Regularization Improves Accuracy of Discriminative Models
Gradient Regularization Improves Accuracy of Discriminative Models
D. Varga
Adrián Csiszárik
Zsolt Zombori
18
53
0
28 Dec 2017
Rapid Adaptation with Conditionally Shifted Neurons
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai
Xingdi Yuan
Soroush Mehri
Adam Trischler
21
13
0
28 Dec 2017
Visualizing the Loss Landscape of Neural Nets
Visualizing the Loss Landscape of Neural Nets
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
108
1,848
0
28 Dec 2017
Improved Inception-Residual Convolutional Neural Network for Object
  Recognition
Improved Inception-Residual Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
46
116
0
28 Dec 2017
Detect-and-Track: Efficient Pose Estimation in Videos
Detect-and-Track: Efficient Pose Estimation in Videos
Rohit Girdhar
Georgia Gkioxari
Lorenzo Torresani
Manohar Paluri
Du Tran
3DH
32
229
0
26 Dec 2017
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural
  Networks with A Hierarchical Dice Loss
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss
Jiachi Zhang
Xiaolei Shen
Tianqi Zhuo
Hong Zhou
27
39
0
25 Dec 2017
On the Integration of Optical Flow and Action Recognition
On the Integration of Optical Flow and Action Recognition
Laura Sevilla-Lara
Yiyi Liao
Fatma Guney
Varun Jampani
Andreas Geiger
Michael J. Black
24
192
0
22 Dec 2017
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual
  Learning
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
Andrew Owens
Jiajun Wu
Josh H. McDermott
William T. Freeman
Antonio Torralba
SSL
41
177
0
20 Dec 2017
Objects that Sound
Objects that Sound
Relja Arandjelović
Andrew Zisserman
ObjD
VOS
44
528
0
18 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative
  for Training Deep Neural Networks for Reinforcement Learning
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
F. Such
Vashisht Madhavan
Edoardo Conti
Joel Lehman
Kenneth O. Stanley
Jeff Clune
41
686
0
18 Dec 2017
Dynamic Weight Alignment for Temporal Convolutional Neural Networks
Dynamic Weight Alignment for Temporal Convolutional Neural Networks
Brian Kenji Iwana
S. Uchida
AI4TS
24
8
0
18 Dec 2017
Automatic segmentation method of pelvic floor levator hiatus in
  ultrasound using a self-normalising neural network
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network
E. Bonmati
Yipeng Hu
Nikhil Sindhwani
H. Dietz
Jan D'hooge
D. Barratt
Jan Deprest
Tom Kamiel Magda Vercauteren
29
30
0
18 Dec 2017
Video Object Detection with an Aligned Spatial-Temporal Memory
Video Object Detection with an Aligned Spatial-Temporal Memory
Fanyi Xiao
Yong Jae Lee
49
189
0
18 Dec 2017
Attenuation correction for brain PET imaging using deep neural network
  based on dixon and ZTE MR images
Attenuation correction for brain PET imaging using deep neural network based on dixon and ZTE MR images
Kuang Gong
Jaewon Yang
Kyungsang Kim
G. El Fakhri
Youngho Seo
Quanzheng Li
36
95
0
17 Dec 2017
Learning a Single Convolutional Super-Resolution Network for Multiple
  Degradations
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Peng Sun
W. Zuo
Lei Zhang
SupR
44
903
0
17 Dec 2017
Spatial As Deep: Spatial CNN for Traffic Scene Understanding
Spatial As Deep: Spatial CNN for Traffic Scene Understanding
Xingang Pan
Jianping Shi
Ping Luo
Xiaogang Wang
Xiaoou Tang
3DPC
29
976
0
17 Dec 2017
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
86
3,060
0
15 Dec 2017
The exploding gradient problem demystified - definition, prevalence,
  impact, origin, tradeoffs, and solutions
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions
George Philipp
D. Song
J. Carbonell
ODL
35
46
0
15 Dec 2017
SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
Christian Bartz
Haojin Yang
Christoph Meinel
29
64
0
14 Dec 2017
Symbol detection in online handwritten graphics using Faster R-CNN
Symbol detection in online handwritten graphics using Faster R-CNN
Frank D. Julca-Aguilar
N. Hirata
36
25
0
13 Dec 2017
Over the Air Deep Learning Based Radio Signal Classification
Over the Air Deep Learning Based Radio Signal Classification
Tim O'Shea
Tamoghna Roy
T. Clancy
30
1,064
0
13 Dec 2017
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Ruohan Gao
Bo Xiong
Kristen Grauman
33
92
0
12 Dec 2017
Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing
  Imagery
Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery
Gencer Sumbul
R. G. Cinbis
S. Aksoy
17
85
0
09 Dec 2017
An End to End Deep Neural Network for Iris Segmentation in Unconstraint
  Scenarios
An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios
S. Bazrafkan
Shejin Thavalengal
Peter Corcoran
3DV
38
77
0
07 Dec 2017
Learned Perceptual Image Enhancement
Learned Perceptual Image Enhancement
Hossein Talebi Esfandarani
P. Milanfar
21
80
0
07 Dec 2017
MoDL: Model Based Deep Learning Architecture for Inverse Problems
MoDL: Model Based Deep Learning Architecture for Inverse Problems
H. Aggarwal
M. Mani
M. Jacob
81
1,000
0
07 Dec 2017
Stacked Conditional Generative Adversarial Networks for Jointly Learning
  Shadow Detection and Shadow Removal
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
Jifeng Wang
Xiang Li
Le Hui
Jian Yang
GAN
28
396
0
07 Dec 2017
SGAN: An Alternative Training of Generative Adversarial Networks
SGAN: An Alternative Training of Generative Adversarial Networks
Tatjana Chavdarova
F. Fleuret
GAN
38
57
0
06 Dec 2017
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda
Maxim Naumov
M. Garland
ODL
24
136
0
06 Dec 2017
Learning to Forecast Videos of Human Activity with Multi-granularity
  Models and Adaptive Rendering
Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering
Mengyao Zhai
Jiacheng Chen
Ruizhi Deng
Lei Chen
Ligeng Zhu
Greg Mori
3DH
26
2
0
05 Dec 2017
Grounding Referring Expressions in Images by Variational Context
Grounding Referring Expressions in Images by Variational Context
Hanwang Zhang
Yulei Niu
Shih-Fu Chang
BDL
ObjD
21
219
0
05 Dec 2017
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
Peng-Shuai Wang
Yang Liu
Yu-Xiao Guo
Chun-Yu Sun
Xin Tong
3DV
37
204
0
05 Dec 2017
CNN based Learning using Reflection and Retinex Models for Intrinsic
  Image Decomposition
CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition
A. S. Baslamisli
Hoàng-Ân Lê
Theo Gevers
34
66
0
04 Dec 2017
Towards Faster Training of Global Covariance Pooling Networks by
  Iterative Matrix Square Root Normalization
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
P. Li
Jiangtao Xie
Qilong Wang
Zilin Gao
27
255
0
04 Dec 2017
Wasserstein Divergence for GANs
Wasserstein Divergence for GANs
Jiqing Wu
Zhiwu Huang
Janine Thoma
Dinesh Acharya
Luc Van Gool
39
138
0
04 Dec 2017
Previous
123...134135136...148149150
Next