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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
Intelligent Home 3D: Automatic 3D-House Design from Linguistic
  Descriptions Only
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
Qi Chen
Qi Wu
Rui Tang
Yuhan Wang
Shuai Wang
Mingkui Tan
3DV
76
33
0
01 Mar 2020
Survival Cluster Analysis
Survival Cluster Analysis
Paidamoyo Chapfuwa
Chunyuan Li
Nikhil Mehta
Lawrence Carin
Ricardo Henao
91
37
0
29 Feb 2020
Differentiating through the Fréchet Mean
Differentiating through the Fréchet Mean
Aaron Lou
Isay Katsman
Qingxuan Jiang
Serge J. Belongie
Ser-Nam Lim
Christopher De Sa
DRL
164
64
0
29 Feb 2020
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image
  Translation
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation
Takehiko Ohkawa
Naoto Inoue
Hirokatsu Kataoka
Nakamasa Inoue
56
6
0
29 Feb 2020
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random
  Features in CNNs
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
Jonathan Frankle
D. Schwab
Ari S. Morcos
135
143
0
29 Feb 2020
Learned Threshold Pruning
Learned Threshold Pruning
K. Azarian
Yash Bhalgat
Jinwon Lee
Tijmen Blankevoort
MQ
86
38
0
28 Feb 2020
Two Routes to Scalable Credit Assignment without Weight Symmetry
Two Routes to Scalable Credit Assignment without Weight Symmetry
D. Kunin
Aran Nayebi
Javier Sagastuy-Breña
Surya Ganguli
Jonathan M. Bloom
Daniel L. K. Yamins
132
33
0
28 Feb 2020
Infrared and 3D skeleton feature fusion for RGB-D action recognition
Infrared and 3D skeleton feature fusion for RGB-D action recognition
Alban Main De Boissiere
R. Noumeir
101
38
0
28 Feb 2020
Certified Defense to Image Transformations via Randomized Smoothing
Certified Defense to Image Transformations via Randomized Smoothing
Marc Fischer
Maximilian Baader
Martin Vechev
AAML
87
67
0
27 Feb 2020
Advances in Collaborative Filtering and Ranking
Advances in Collaborative Filtering and Ranking
Liwei Wu
52
7
0
27 Feb 2020
Learning Representations by Predicting Bags of Visual Words
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
120
118
0
27 Feb 2020
MajorityNets: BNNs Utilising Approximate Popcount for Improved
  Efficiency
MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency
Seyedramin Rasoulinezhad
Sean Fox
Hao Zhou
Lingli Wang
David Boland
Philip H. W. Leong
18
4
0
27 Feb 2020
Disentangling Adaptive Gradient Methods from Learning Rates
Disentangling Adaptive Gradient Methods from Learning Rates
Naman Agarwal
Rohan Anil
Elad Hazan
Tomer Koren
Cyril Zhang
109
38
0
26 Feb 2020
Recognizing Handwritten Mathematical Expressions as LaTex Sequences
  Using a Multiscale Robust Neural Network
Recognizing Handwritten Mathematical Expressions as LaTex Sequences Using a Multiscale Robust Neural Network
Hongyu Wang
Guangcun Shan
91
7
0
26 Feb 2020
Unpaired Image Super-Resolution using Pseudo-Supervision
Unpaired Image Super-Resolution using Pseudo-Supervision
S. Maeda
SupR
72
157
0
26 Feb 2020
Lipschitz standardization for multivariate learning
Lipschitz standardization for multivariate learning
Adrián Javaloy
Isabel Valera
40
0
0
26 Feb 2020
Understanding Self-Training for Gradual Domain Adaptation
Understanding Self-Training for Gradual Domain Adaptation
Ananya Kumar
Tengyu Ma
Percy Liang
CLLTTA
102
233
0
26 Feb 2020
On Feature Normalization and Data Augmentation
On Feature Normalization and Data Augmentation
Boyi Li
Felix Wu
Ser-Nam Lim
Serge J. Belongie
Kilian Q. Weinberger
65
138
0
25 Feb 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo
Minsu Cho
Jinwoo Shin
129
215
0
25 Feb 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Yifan Sun
Changmao Cheng
Yuhan Zhang
Fangqiu Yi
Liang Zheng
Zhongdao Wang
Yichen Wei
193
864
0
25 Feb 2020
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of
  DNNs
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs
Lei Huang
Jie Qin
Li Liu
Fan Zhu
Ling Shao
AI4CE
86
11
0
25 Feb 2020
Training Binary Neural Networks using the Bayesian Learning Rule
Training Binary Neural Networks using the Bayesian Learning Rule
Xiangming Meng
Roman Bachmann
Mohammad Emtiyaz Khan
BDLMQ
103
43
0
25 Feb 2020
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D
  Semantic Segmentation Convolutional Neural Networks
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks
Sven Koitka
Lennard Kroll
E. Malamutmann
A. Oezcelik
F. Nensa
65
108
0
25 Feb 2020
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude
  Estimation
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation
Martin Brossard
Silvere Bonnabel
Axel Barrau
108
130
0
25 Feb 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing
  Classifiers Adaptively
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
Haotao Wang
Tianlong Chen
Zhangyang Wang
Kede Ma
VLM
79
20
0
25 Feb 2020
Batch Normalization Biases Residual Blocks Towards the Identity Function
  in Deep Networks
Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks
Soham De
Samuel L. Smith
ODL
115
20
0
24 Feb 2020
The Two Regimes of Deep Network Training
The Two Regimes of Deep Network Training
Guillaume Leclerc
Aleksander Madry
99
45
0
24 Feb 2020
The Early Phase of Neural Network Training
The Early Phase of Neural Network Training
Jonathan Frankle
D. Schwab
Ari S. Morcos
102
174
0
24 Feb 2020
AlignSeg: Feature-Aligned Segmentation Networks
AlignSeg: Feature-Aligned Segmentation Networks
Zilong Huang
Yunchao Wei
Xinggang Wang
Wenyu Liu
Thomas S. Huang
Humphrey Shi
SSeg
207
152
0
24 Feb 2020
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint
  Estimation
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
Zechen Liu
Zizhang Wu
R. Tóth
3DPC
120
366
0
24 Feb 2020
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural
  Network with Multidata Analysis
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis
S. Candemir
X. V. Nguyen
Luciano M Prevedello
M. Bigelow
Richard D. White
B. S. Erdal
49
11
0
24 Feb 2020
Assembling Semantically-Disentangled Representations for
  Predictive-Generative Models via Adaptation from Synthetic Domain
Assembling Semantically-Disentangled Representations for Predictive-Generative Models via Adaptation from Synthetic Domain
B. Donderici
Caleb New
Chenliang Xu
GANAI4CE
30
1
0
23 Feb 2020
PoET-BiN: Power Efficient Tiny Binary Neurons
PoET-BiN: Power Efficient Tiny Binary Neurons
S. Chidambaram
P. Langlois
J. David
MQ
40
4
0
23 Feb 2020
Stochasticity in Neural ODEs: An Empirical Study
Stochasticity in Neural ODEs: An Empirical Study
V. Oganesyan
Alexandra Volokhova
Dmitry Vetrov
BDL
92
20
0
22 Feb 2020
Revealing the Structure of Deep Neural Networks via Convex Duality
Revealing the Structure of Deep Neural Networks via Convex Duality
Tolga Ergen
Mert Pilanci
MLT
105
72
0
22 Feb 2020
Towards Label-Free 3D Segmentation of Optical Coherence Tomography
  Images of the Optic Nerve Head Using Deep Learning
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning
S. Devalla
T. Pham
S. Panda
Zhang Liang
Giridhar Subramanian
...
L. Schmetterer
S. Perera
Tin Aung
Alexandre Hoang Thiery
M. Girard
70
29
0
22 Feb 2020
Neural Architecture Search for Compressed Sensing Magnetic Resonance
  Image Reconstruction
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction
Jiangpeng Yan
Shuo Chen
Yongbing Zhang
Xiu Li
53
24
0
22 Feb 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging
  Problems
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Carola-Bibiane Schönlieb
Hua Huang
87
105
0
22 Feb 2020
The Break-Even Point on Optimization Trajectories of Deep Neural
  Networks
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
Stanislaw Jastrzebski
Maciej Szymczak
Stanislav Fort
Devansh Arpit
Jacek Tabor
Kyunghyun Cho
Krzysztof J. Geras
90
164
0
21 Feb 2020
Learning to Continually Learn
Learning to Continually Learn
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELMCLL
105
148
0
21 Feb 2020
Towards Robust and Reproducible Active Learning Using Neural Networks
Towards Robust and Reproducible Active Learning Using Neural Networks
Prateek Munjal
Nasir Hayat
Munawar Hayat
J. Sourati
Shadab Khan
UQCV
84
69
0
21 Feb 2020
Introducing Fuzzy Layers for Deep Learning
Introducing Fuzzy Layers for Deep Learning
Stanton R. Price
S. Price
Derek T. Anderson
AI4CESSeg
70
29
0
21 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
163
91
0
21 Feb 2020
Exploiting the Full Capacity of Deep Neural Networks while Avoiding
  Overfitting by Targeted Sparsity Regularization
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization
Karim Huesmann
Soeren Klemm
Lars Linsen
Benjamin Risse
29
2
0
21 Feb 2020
Unsupervised Enhancement of Soft-biometric Privacy with Negative Face
  Recognition
Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition
Philipp Terhörst
Marco Huber
Naser Damer
Florian Kirchbuchner
Arjan Kuijper
PICV
72
18
0
21 Feb 2020
Deep Sigma Point Processes
Deep Sigma Point Processes
M. Jankowiak
Geoff Pleiss
Jacob R. Gardner
BDL
71
23
0
21 Feb 2020
Adapted Center and Scale Prediction: More Stable and More Accurate
Adapted Center and Scale Prediction: More Stable and More Accurate
Wenhao Wang
146
24
0
20 Feb 2020
An Elementary Approach to Convergence Guarantees of Optimization
  Algorithms for Deep Networks
An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks
Vincent Roulet
Zaïd Harchaoui
22
2
0
20 Feb 2020
Neural Bayes: A Generic Parameterization Method for Unsupervised
  Representation Learning
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Devansh Arpit
Huan Wang
Caiming Xiong
R. Socher
Yoshua Bengio
SSL
44
2
0
20 Feb 2020
Multi-step Online Unsupervised Domain Adaptation
Multi-step Online Unsupervised Domain Adaptation
J. Moon
Debasmit Das
George Lee
OOD
79
18
0
20 Feb 2020
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