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Riemannian approach to batch normalization
27 September 2017
Minhyung Cho
Jaehyung Lee
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Papers citing
"Riemannian approach to batch normalization"
13 / 63 papers shown
Fine-grained Optimization of Deep Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Mete Ozay
ODL
178
2
0
22 May 2019
A Scale Invariant Flatness Measure for Deep Network Minima
Akshay Rangamani
Nam H. Nguyen
Abhishek Kumar
Dzung Phan
Sang H. Chin
T. Tran
ODL
162
32
0
06 Feb 2019
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
Hiroyuki Kasai
Pratik Jawanpuria
Bamdev Mishra
249
3
0
04 Feb 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
192
10
0
18 Dec 2018
Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
Sanjeev Arora
Zhiyuan Li
Kaifeng Lyu
200
139
0
10 Dec 2018
Information Geometry of Orthogonal Initializations and Training
Piotr A. Sokól
Il-Su Park
AI4CE
292
17
0
09 Oct 2018
Learning Hash Codes via Hamming Distance Targets
M. Lončarić
Bowei Liu
Ryan Weber
MQ
161
4
0
01 Oct 2018
Riemannian Adaptive Optimization Methods
Gary Bécigneul
O. Ganea
ODL
310
308
0
01 Oct 2018
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization
Jonas Köhler
Hadi Daneshmand
Aurelien Lucchi
M. Zhou
K. Neymeyr
Thomas Hofmann
260
96
0
27 May 2018
Decorrelated Batch Normalization
Lei Huang
Dawei Yang
B. Lang
Gaowen Liu
204
203
0
23 Apr 2018
Convolutional Hashing for Automated Scene Matching
M. Lončarić
Bowei Liu
Ryan Weber
114
1
0
09 Feb 2018
Projection Based Weight Normalization for Deep Neural Networks
Lei Huang
Xianglong Liu
B. Lang
Yue Liu
135
19
0
06 Oct 2017
Optimization on Product Submanifolds of Convolution Kernels
Mete Ozay
Takayuki Okatani
AAML
115
0
0
22 Jan 2017
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