Search Results for author: Mounia Hamidouche

Found 3 papers, 1 papers with code

Graphs as Tools to Improve Deep Learning Methods

no code implementations8 Oct 2021 Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon

This chapter is composed of four main parts: tools for visualizing intermediate layers in a DNN, denoising data representations, optimizing graph objective functions and regularizing the learning process.

Denoising

Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs

1 code implementation25 Nov 2020 Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon

Measuring the generalization performance of a Deep Neural Network (DNN) without relying on a validation set is a difficult task.

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