12 citations · 67 across the 26 of their papers we have counts for
5 papers · 1 filter
Learning active learning at the crossroads? evaluation and discussion
Louis Desreumaux, Vincent Lemaire
Active learning aims to reduce annotation cost by predicting which samples are useful for a human expert to label. Although this field is quite old, several important challenges to…
Predictive K-means with local models
Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols +1
Supervised classification can be effective for prediction but sometimes weak on interpretability or explainability (XAI). Clustering, on the other hand, tends to isolate categories…
From Weakly Supervised Learning to Biquality Learning: an Introduction
Pierre Nodet, Vincent Lemaire, Alexis Bondu +2
The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with numerous papers addressing different types of "supervision deficiencies". In WSL use cas…
On the intrinsic robustness to noise of some leading classifiers and symmetric loss function -- an empirical evaluation
Hugo Le Baher, Vincent Lemaire, Romain Trinquart
In some industrial applications such as fraud detection, the performance of common supervision techniques may be affected by the poor quality of the available labels : in actual op…
Importance Reweighting for Biquality Learning
Pierre Nodet, Vincent Lemaire, Alexis Bondu +1
The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with numerous papers addressing different types of "supervision deficiencies", namely: poor q…