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1806.02375
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Understanding Batch Normalization
1 June 2018
Johan Bjorck
Carla P. Gomes
B. Selman
Kilian Q. Weinberger
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Papers citing
"Understanding Batch Normalization"
24 / 224 papers shown
Title
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
Jung-Kyun Cho
Junseok Kwon
Byung-Woo Hong
67
1
0
23 Jul 2019
Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients
Zhenwei Dai
Reinhard Heckel
52
24
0
22 Jul 2019
Switchable Normalization for Learning-to-Normalize Deep Representation
Ping Luo
Ruimao Zhang
Jiamin Ren
Zhanglin Peng
Jingyu Li
129
74
0
22 Jul 2019
Signal Conditioning for Learning in the Wild
Ayon Borthakur
T. A. Cleland
42
11
0
12 Jul 2019
Positional Normalization
Boyi Li
Felix Wu
Kilian Q. Weinberger
Serge J. Belongie
78
92
0
09 Jul 2019
Mean Spectral Normalization of Deep Neural Networks for Embedded Automation
Anand Subramanian
N. Chong
19
2
0
09 Jul 2019
QUOTIENT: Two-Party Secure Neural Network Training and Prediction
Nitin Agrawal
Ali Shahin Shamsabadi
Matt J. Kusner
Adria Gascon
102
216
0
08 Jul 2019
Dimensional Reweighting Graph Convolutional Networks
Xu Zou
Qiuye Jia
Jianwei Zhang
Chang Zhou
Hongxia Yang
Jie Tang
GNN
68
8
0
04 Jul 2019
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks
Ryo Karakida
S. Akaho
S. Amari
73
41
0
07 Jun 2019
Implicit Rugosity Regularization via Data Augmentation
Daniel LeJeune
Randall Balestriero
Hamid Javadi
Richard G. Baraniuk
77
4
0
28 May 2019
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks
Guangyong Chen
Pengfei Chen
Yujun Shi
Chang-Yu Hsieh
B. Liao
Shengyu Zhang
OOD
58
80
0
15 May 2019
Batch Normalization is a Cause of Adversarial Vulnerability
A. Galloway
A. Golubeva
T. Tanay
M. Moussa
Graham W. Taylor
ODL
AAML
84
80
0
06 May 2019
A Review of Object Detection Models based on Convolutional Neural Network
F. Sultana
Abu Sufian
P. Dutta
ObjD
115
210
0
05 May 2019
Iterative Normalization: Beyond Standardization towards Efficient Whitening
Lei Huang
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
87
145
0
06 Apr 2019
Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation
Jaeyoon Yoo
Changhwa Park
Yongjun Hong
Sungroh Yoon
SSL
35
1
0
12 Mar 2019
Accelerating Training of Deep Neural Networks with a Standardization Loss
Jasmine Collins
Johannes Ballé
Jonathon Shlens
44
3
0
03 Mar 2019
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
Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
Sanjeev Arora
Zhiyuan Li
Kaifeng Lyu
101
131
0
10 Dec 2018
Batch Normalization Sampling
Zhaodong Chen
Lei Deng
Guoqi Li
Jiawei Sun
Xing Hu
Xin Ma
Yuan Xie
41
0
0
25 Oct 2018
Mode Normalization
Lucas Deecke
Iain Murray
Hakan Bilen
OOD
95
35
0
12 Oct 2018
A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent
Yongqiang Cai
Qianxiao Li
Zuowei Shen
35
3
0
29 Sep 2018
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation
Rob Romijnders
Panagiotis Meletis
Gijs Dubbelman
AI4CE
67
27
0
14 Sep 2018
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
Stanislaw Jastrzebski
Zachary Kenton
Nicolas Ballas
Asja Fischer
Yoshua Bengio
Amos Storkey
ODL
100
118
0
13 Jul 2018
Restructuring Batch Normalization to Accelerate CNN Training
Wonkyung Jung
Daejin Jung
and Byeongho Kim
Sunjung Lee
Wonjong Rhee
Jung Ho Ahn
57
64
0
04 Jul 2018
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