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Understanding Batch Normalization

1 June 2018

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 100 119 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