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 / 11,231 papers shown
Title
Learning More with Less: Conditional PGGAN-based Data Augmentation for
  Brain Metastases Detection Using Highly-Rough Annotation on MR Images
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images
Changhee Han
K. Murao
T. Noguchi
Yusuke Kawata
F. Uchiyama
L. Rundo
Hideki Nakayama
Shiníchi Satoh
MedIm
66
100
0
26 Feb 2019
Interaction-aware Factorization Machines for Recommender Systems
Interaction-aware Factorization Machines for Recommender Systems
Fuxing Hong
Dongbo Huang
Ge Chen
55
38
0
26 Feb 2019
Learning a Deep ConvNet for Multi-label Classification with Partial
  Labels
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand
Nazanin Mehrasa
Greg Mori
SSL
104
233
0
26 Feb 2019
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on
  Compressed Video
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
Qunliang Xing
Zhenyu Guan
Mai Xu
Ren Yang
Tie Liu
Zulin Wang
110
202
0
26 Feb 2019
Learning Implicitly Recurrent CNNs Through Parameter Sharing
Learning Implicitly Recurrent CNNs Through Parameter Sharing
Pedro H. P. Savarese
Michael Maire
96
70
0
26 Feb 2019
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
B. Chang
Minmin Chen
E. Haber
Ed H. Chi
PINNGNN
131
207
0
26 Feb 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying
Aaron Klein
Esteban Real
Eric Christiansen
Kevin Patrick Murphy
Frank Hutter
112
691
0
25 Feb 2019
Deep Learning for Low-Dose CT Denoising
Deep Learning for Low-Dose CT Denoising
Maryam Gholizadeh-Ansari
J. Alirezaie
P. Babyn
MedIm
69
115
0
25 Feb 2019
FEELVOS: Fast End-to-End Embedding Learning for Video Object
  Segmentation
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
P. Voigtlaender
Yuning Chai
Florian Schroff
Hartwig Adam
Bastian Leibe
Liang-Chieh Chen
VOS
144
422
0
25 Feb 2019
Towards Corner Case Detection for Autonomous Driving
Towards Corner Case Detection for Autonomous Driving
Jan-Aike Termöhlen
Andreas Bär
Daniel Lipinski
Tim Fingscheidt
AAML
86
96
0
25 Feb 2019
Dynamic Feature Fusion for Semantic Edge Detection
Dynamic Feature Fusion for Semantic Edge Detection
Yuan Hu
Yunpeng Chen
Xiang Li
Jiashi Feng
71
69
0
25 Feb 2019
Field-aware Neural Factorization Machine for Click-Through Rate
  Prediction
Field-aware Neural Factorization Machine for Click-Through Rate Prediction
Li Zhang
Weichen Shen
Shijian Li
Gang Pan
60
34
0
25 Feb 2019
An Effective Hit-or-Miss Layer Favoring Feature Interpretation as
  Learned Prototypes Deformations
An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations
Adrien Deliège
A. Cioppa
Marc Van Droogenbroeck
66
3
0
23 Feb 2019
ParticleNet: Jet Tagging via Particle Clouds
ParticleNet: Jet Tagging via Particle Clouds
H. Qu
L. Gouskos
3DPCMU
104
231
0
22 Feb 2019
Similarity Learning Networks for Animal Individual Re-Identification --
  Beyond the Capabilities of a Human Observer
Similarity Learning Networks for Animal Individual Re-Identification -- Beyond the Capabilities of a Human Observer
Stefan Schneider
Graham W. Taylor
Stefan S. Linquist
Stefan C. Kremer
51
64
0
21 Feb 2019
Learned Step Size Quantization
Learned Step Size Quantization
S. K. Esser
J. McKinstry
Deepika Bablani
R. Appuswamy
D. Modha
MQ
79
813
0
21 Feb 2019
Deep CNN-based Speech Balloon Detection and Segmentation for Comic Books
Deep CNN-based Speech Balloon Detection and Segmentation for Comic Books
David Dubray
Jochen Laubrock
27
27
0
21 Feb 2019
A Mean Field Theory of Batch Normalization
A Mean Field Theory of Batch Normalization
Greg Yang
Jeffrey Pennington
Vinay Rao
Jascha Narain Sohl-Dickstein
S. Schoenholz
88
180
0
21 Feb 2019
Learning representations of irregular particle-detector geometry with
  distance-weighted graph networks
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
S. Qasim
J. Kieseler
Y. Iiyama
M. Pierini
105
137
0
21 Feb 2019
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative
  Adversarial Networks
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks
Zhengchun Liu
Tekin Bicer
R. Kettimuthu
D. Gursoy
F. Carlo
Ian Foster
MedImGAN
135
96
0
20 Feb 2019
Adaptive scale-invariant online algorithms for learning linear models
Adaptive scale-invariant online algorithms for learning linear models
Michal Kempka
W. Kotłowski
Manfred K. Warmuth
96
31
0
20 Feb 2019
An efficient solution for semantic segmentation: ShuffleNet V2 with
  atrous separable convolutions
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions
Sercan Turkmen
J. Heikkilä
SSeg
48
23
0
20 Feb 2019
LipschitzLR: Using theoretically computed adaptive learning rates for
  fast convergence
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence
Rahul Yedida
Snehanshu Saha
Tejas Prashanth
ODL
53
12
0
20 Feb 2019
Shallow Neural Networks for Fluid Flow Reconstruction with Limited
  Sensors
Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors
N. Benjamin Erichson
L. Mathelin
Z. Yao
Steven L. Brunton
Michael W. Mahoney
J. Nathan Kutz
AI4CE
61
34
0
20 Feb 2019
Using Conditional Generative Adversarial Networks to Generate
  Ground-Level Views From Overhead Imagery
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery
XueQing Deng
Yi Zhu
Shawn D. Newsam
GAN
36
7
0
19 Feb 2019
WIDER Face and Pedestrian Challenge 2018: Methods and Results
WIDER Face and Pedestrian Challenge 2018: Methods and Results
Chen Change Loy
Dahua Lin
Wanli Ouyang
Yuanjun Xiong
Shuo Yang
...
Qiaokang Xie
Ziyang Wu
Lei Lu
Yiheng Liu
Wen-gang Zhou
CVBM
69
38
0
19 Feb 2019
LocalNorm: Robust Image Classification through Dynamically Regularized
  Normalization
LocalNorm: Robust Image Classification through Dynamically Regularized Normalization
Bojian Yin
S. Schaafsma
Henk Corporaal
H. Scholte
S. Bohté
30
2
0
18 Feb 2019
Quantifying the effects of data augmentation and stain color
  normalization in convolutional neural networks for computational pathology
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
David Tellez
G. Litjens
Péter Bándi
W. Bulten
J. Bokhorst
F. Ciompi
Jeroen van der Laak
MedImOOD
64
490
0
18 Feb 2019
2017 Robotic Instrument Segmentation Challenge
2017 Robotic Instrument Segmentation Challenge
M. Allan
Alexey A. Shvets
T. Kurmann
Zichen Zhang
Rahul Duggal
...
Jian Yang
Danail Stoyanov
Lena Maier-Hein
Stefanie Speidel
M. Azizian
89
231
0
18 Feb 2019
A semi-supervised deep residual network for mode detection in Wi-Fi
  signals
A semi-supervised deep residual network for mode detection in Wi-Fi signals
Arash Kalatian
Bilal Farooq
HAI
34
10
0
17 Feb 2019
"Touching to See" and "Seeing to Feel": Robotic Cross-modal SensoryData
  Generation for Visual-Tactile Perception
"Touching to See" and "Seeing to Feel": Robotic Cross-modal SensoryData Generation for Visual-Tactile Perception
Jet-Tsyn Lee
Danushka Bollegala
Shan Luo
59
98
0
17 Feb 2019
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma
  Multiform Image Classification Based on DCGAN and AlexNet
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet
Meiyu Li
Hailiang Tang
M. Chan
Xiaobo Zhou
Xiaohua Qian
MedImAI4CE
83
54
0
16 Feb 2019
Deep Learning for Image Super-resolution: A Survey
Deep Learning for Image Super-resolution: A Survey
Zhihao Wang
Jian Chen
Guosheng Lin
SupR
94
1,455
0
16 Feb 2019
A Convolutional Network for Sleep Stages Classification
A Convolutional Network for Sleep Stages Classification
Isaac Fernández-Varela
Elena Hernández-Pereira
D. Álvarez-Estévez
V. Moret-Bonillo
45
9
0
15 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
113
201
0
15 Feb 2019
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing
  Detection
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing Detection
Binhang Yuan
Chen Wang
Chen Luo
Fei Jiang
Mingsheng Long
Philip S. Yu
Yuan Liu
66
25
0
14 Feb 2019
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater
  Sample Efficiency and Simplicity
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
Aditya Bhatt
Daniel Palenicek
Boris Belousov
Max Argus
Artemij Amiranashvili
Thomas Brox
Jan Peters
131
57
0
14 Feb 2019
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
Wouter Van Gansbeke
D. Neven
Bert De Brabandere
Luc Van Gool
3DV
80
251
0
14 Feb 2019
On instabilities of deep learning in image reconstruction - Does AI come
  at a cost?
On instabilities of deep learning in image reconstruction - Does AI come at a cost?
Vegard Antun
F. Renna
C. Poon
Ben Adcock
A. Hansen
82
610
0
14 Feb 2019
Transfusion: Understanding Transfer Learning for Medical Imaging
Transfusion: Understanding Transfer Learning for Medical Imaging
M. Raghu
Chiyuan Zhang
Jon M. Kleinberg
Samy Bengio
MedIm
94
987
0
14 Feb 2019
Probabilistic Neural Architecture Search
Probabilistic Neural Architecture Search
F. P. Casale
Jonathan Gordon
Nicolò Fusi
TPM
75
77
0
13 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OODSSegVLM
138
1,733
0
13 Feb 2019
DeeperLab: Single-Shot Image Parser
DeeperLab: Single-Shot Image Parser
Tien-Ju Yang
Maxwell D. Collins
Yukun Zhu
Jyh-Jing Hwang
Ting Liu
Xiao Zhang
Vivienne Sze
George Papandreou
Liang-Chieh Chen
SSegVLM
129
191
0
13 Feb 2019
Learning to see across Domains and Modalities
Learning to see across Domains and Modalities
Fabio Maria Carlucci
88
0
0
13 Feb 2019
Deep Divergence-Based Approach to Clustering
Deep Divergence-Based Approach to Clustering
Michael C. Kampffmeyer
Sigurd Løkse
F. Bianchi
L. Livi
Arnt-Børre Salberg
Robert Jenssen
66
63
0
13 Feb 2019
Sample Variance Decay in Randomly Initialized ReLU Networks
Sample Variance Decay in Randomly Initialized ReLU Networks
Kyle L. Luther
H. S. Seung
54
3
0
13 Feb 2019
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian
  Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
Greg Yang
218
289
0
13 Feb 2019
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT
B. D. de Vos
J. Wolterink
T. Leiner
P. D. de Jong
Nikolas Lessmann
Ivana Isgum
65
88
0
12 Feb 2019
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
Yuandong Tian
Jerry Ma
Qucheng Gong
Shubho Sengupta
Zhuoyuan Chen
James Pinkerton
C. L. Zitnick
102
110
0
12 Feb 2019
Binary Stochastic Filtering: a Method for Neural Network Size
  Minimization and Supervised Feature Selection
Binary Stochastic Filtering: a Method for Neural Network Size Minimization and Supervised Feature Selection
Andrii Trelin
A. Procházka
MQ
29
1
0
12 Feb 2019
Previous
123...165166167...223224225
Next