234 citations · 548 across the 25 of their papers we have counts for
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cs.LG2020
A study of local optima for learning feature interactions using neural networks
Yangzi Guo, Adrian Barbu
In many fields such as bioinformatics, high energy physics, power distribution, etc., it is desirable to learn non-linear models where a small number of variables are selected and…
cs.LG2020
Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks
Gitesh Dawer, Yangzi Guo, Sida Liu +1
Artificial Neural Networks form the basis of very powerful learning methods. It has been observed that a naive application of fully connected neural networks to data with many irre…
cs.LG2020
Network Pruning via Annealing and Direct Sparsity Control
Yangzi Guo, Yiyuan She, Adrian Barbu
Artificial neural networks (ANNs) especially deep convolutional networks are very popular these days and have been proved to successfully offer quite reliable solutions to many vis…