2   Artículos

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en línea
Myriam Bontonou, Louis Béthune and 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 this paper, we are interested in finding alternatives to answer the question:... ver más
Revista: Information    Formato: Electrónico

 
en línea
Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier and Amaury Habrard    
We propose a novel algorithm for unsupervised graph representation learning with attributed graphs. It combines three advantages addressing some current limitations of the literature: (i) The model is inductive: it can embed new graphs without re-trainin... ver más
Revista: Algorithms    Formato: Electrónico

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