7 citations · 12 across the 11 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018★ 1 cited
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees
Konstantinos Pitas, Mike Davies, Pierre Vandergheynst
Recent DNN pruning algorithms have succeeded in reducing the number of parameters in fully connected layers, often with little or no drop in classification accuracy. However, most…
cs.LG2018★ 7 cited
PAC-Bayesian Margin Bounds for Convolutional Neural Networks
Konstantinos Pitas, Mike Davies, Pierre Vandergheynst
Recently the generalization error of deep neural networks has been analyzed through the PAC-Bayesian framework, for the case of fully connected layers. We adapt this approach to th…