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Optimizing Deep Neural Networks with Multiple Search Neuroevolution

Optimizing Deep Neural Networks with Multiple Search Neuroevolution

17 January 2019
Ahmed Aly
David Weikersdorfer
C. Delaunay
ArXivPDFHTML

Papers citing "Optimizing Deep Neural Networks with Multiple Search Neuroevolution"

3 / 3 papers shown
Title
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting
  Topologies for Side-channel Analysis
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis
R. Acharya
F. Ganji
Domenic Forte
AAML
38
24
0
30 Apr 2021
An Experimental Study of Weight Initialization and Weight Inheritance
  Effects on Neuroevolution
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution
Zimeng Lyu
A. ElSaid
Joshua Karns
Mohamed Wiem Mkaouer
Travis J. Desell
ODL
8
1
0
21 Sep 2020
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,923
0
17 Aug 2015
1