78 citations · 341 across the 20 of their papers we have counts for
3 papers · 1 filter
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin
Tanguy Lefort, Benjamin Charlier, Alexis Joly +1
In supervised learning - for instance in image classification - modern massive datasets are commonly labeled by a crowd of workers. The obtained labels in this crowdsourcing settin…
How does the degree of novelty impacts semi-supervised representation learning for novel class retrieval?
Quentin Leroy, Olivier Buisson, Alexis Joly
Supervised representation learning with deep networks tends to overfit the training classes and the generalization to novel classes is a challenging question. It is common to evalu…
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
Camille Garcin, Maximilien Servajean, Alexis Joly +1
In modern classification tasks, the number of labels is getting larger and larger, as is the size of the datasets encountered in practice. As the number of classes increases, class…