2 citations · 8 across the 23 of their papers we have counts for
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cs.LG2020
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening
Louis Béthune, Yacouba Kaloga, Pierre Borgnat +2
We propose a novel algorithm for unsupervised graph representation learning with attributed graphs. It combines three advantages addressing some current limitations of the literatu…
cs.LG2020★ 2 cited
Predicting the Accuracy of a Few-Shot Classifier
Myriam Bontonou, Louis Béthune, Vincent Gripon
In the context of few-shot learning, one cannot measure the generalization ability of a trained classifier using validation sets, due to the small number of labeled samples. In thi…