Title
Stabilization of the Modular Selective Neural Network Model Based on Inter-Class Correlation
Abstract
We propose an optimization of Modular Selective Network or MS-Net by reducing the number of expert network evaluations. MS-Net is composed of a router and a set of expert networks. In our original proposal, MS-Net is constructed based on a Round-Robin dataset partition with controlled redundancy among the subsets of classes. In this paper, we propose a novel way for reducing the inference cost by ...
Year
DOI
Venue
2021
10.1109/CYBCONF51991.2021.9464136
2021 5th IEEE International Conference on Cybernetics (CYBCONF)
Keywords
DocType
ISBN
Correlation,Conferences,Redundancy,Neural networks,Fault tolerant systems,Focusing,Neck
Conference
978-1-6654-0320-7
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Chowdhury Md INTISAR100.34
KAI SU200.34
HUITAO WANG300.34
Qiangfu Zhao421462.36