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Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher
  Distributions in Deep learning
v1v2 (latest)

Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning

29 September 2018
Cheolhyoung Lee
Kyunghyun Cho
Wanmo Kang
ArXiv (abs)PDFHTML

Papers citing "Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning"

2 / 2 papers shown
Title
HCFL: A High Compression Approach for Communication-Efficient Federated
  Learning in Very Large Scale IoT Networks
HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks
Minh-Duong Nguyen
Sangmin Lee
Quoc-Viet Pham
D. Hoang
Diep N. Nguyen
Won Joo Hwang
60
30
0
14 Apr 2022
No Shifted Augmentations (NSA): compact distributions for robust
  self-supervised Anomaly Detection
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
Mohamed Yousef
Marcel R. Ackermann
Unmesh Kurup
Tom E. Bishop
OODDOOD
95
3
0
19 Mar 2022
1