Riemannian approach to batch normalization

27 September 2017

Papers citing "Riemannian approach to batch normalization"

15 / 15 papers shown

Title
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 28 155 0 05 Dec 2023
A survey of manifold learning and its applications for multimedia Hannes Fassold 34 1 0 08 Sep 2023
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization Yian Deng Tingting Mu 19 1 0 22 Feb 2023
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 41 1 0 12 Oct 2022
Large-Scale Differentially Private BERT Rohan Anil Badih Ghazi Vineet Gupta Ravi Kumar Pasin Manurangsi 36 131 0 03 Aug 2021
Batch Normalization Preconditioning for Neural Network Training Susanna Lange Kyle E. Helfrich Qiang Ye 27 9 0 02 Aug 2021
Weight and Gradient Centralization in Deep Neural Networks Wolfgang Fuhl Enkelejda Kasneci ODL 13 18 0 02 Oct 2020
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition Wei Peng Jingang Shi Zhaoqiang Xia Guoying Zhao GNN 26 60 0 30 Jul 2020
New Interpretations of Normalization Methods in Deep Learning Jiacheng Sun Xiangyong Cao Hanwen Liang Weiran Huang Zewei Chen Zhenguo Li 21 34 0 16 Jun 2020
Gradient Centralization: A New Optimization Technique for Deep Neural Networks Hongwei Yong Jianqiang Huang Xiansheng Hua Lei Zhang ODL 21 184 0 03 Apr 2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform Jun Li Fuxin Li S. Todorovic 16 99 0 04 Feb 2020
Fine-grained Optimization of Deep Neural Networks Mete Ozay ODL 6 1 0 22 May 2019
Theoretical Analysis of Auto Rate-Tuning by Batch Normalization Sanjeev Arora Zhiyuan Li Kaifeng Lyu 26 130 0 10 Dec 2018
Learning Hash Codes via Hamming Distance Targets M. Lončarić Bowei Liu Ryan Weber MQ 11 4 0 01 Oct 2018
Understanding symmetries in deep networks Vijay Badrinarayanan Bamdev Mishra R. Cipolla 221 42 0 03 Nov 2015