Search Results for author: Michael Blot

Found 8 papers, 2 papers with code

REVE: Regularizing Deep Learning with Variational Entropy Bound

no code implementations15 Oct 2019 Antoine Saporta, Yifu Chen, Michael Blot, Matthieu Cord

Studies on generalization performance of machine learning algorithms under the scope of information theory suggest that compressed representations can guarantee good generalization, inspiring many compression-based regularization methods.

A Characterization of Mean Squared Error for Estimator with Bagging

no code implementations7 Aug 2019 Martin Mihelich, Charles Dognin, Yan Shu, Michael Blot

First, we prove that for any estimator, increasing the number of bagged estimators $N$ in the average can only reduce the MSE.

GoSGD: Distributed Optimization for Deep Learning with Gossip Exchange

no code implementations4 Apr 2018 Michael Blot, David Picard, Matthieu Cord

We address the issue of speeding up the training of convolutional neural networks by studying a distributed method adapted to stochastic gradient descent.

Distributed Optimization

Gossip training for deep learning

1 code implementation29 Nov 2016 Michael Blot, David Picard, Matthieu Cord, Nicolas Thome

We address the issue of speeding up the training of convolutional networks.

Maxmin convolutional neural networks for image classification

no code implementations25 Oct 2016 Michael Blot, Matthieu Cord, Nicolas Thome

Convolutional neural networks (CNN) are widely used in computer vision, especially in image classification.

Classification General Classification +1

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