4 citations · 6 across the 5 of their papers we have counts for
5 papers
A Practical Approach to Novel Class Discovery in Tabular Data
Colin Troisemaine, Alexandre Reiffers-Masson, Stéphane Gosselin +2
The problem of Novel Class Discovery (NCD) consists in extracting knowledge from a labeled set of known classes to accurately partition an unlabeled set of novel classes. While NCD…
An Interactive Interface for Novel Class Discovery in Tabular Data
Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin +3
Novel Class Discovery (NCD) is the problem of trying to discover novel classes in an unlabeled set, given a labeled set of different but related classes. The majority of NCD method…
Novel Class Discovery: an Introduction and Key Concepts
Colin Troisemaine, Vincent Lemaire, Stéphane Gosselin +3
Novel Class Discovery (NCD) is a growing field where we are given during training a labeled set of known classes and an unlabeled set of different classes that must be discovered.…
A Method for Discovering Novel Classes in Tabular Data
Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin +3
In Novel Class Discovery (NCD), the goal is to find new classes in an unlabeled set given a labeled set of known but different classes. While NCD has recently gained attention from…
On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models
Amine Echraibi, Joachim Flocon-Cholet, Stéphane Gosselin +1
Thanks to the reparameterization trick, deep latent Gaussian models have shown tremendous success recently in learning latent representations. The ability to couple them however wi…