An Interactive Interface for Novel Class Discovery in Tabular Data

1 code implementation • 22 Jun 2023 • Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Alexandre Reiffers-Masson, Sandrine Vaton, Vincent Lemaire

This task is difficult and can often only be performed by a domain expert.

Clustering Novel Class Discovery

Novel Class Discovery: an Introduction and Key Concepts

2 code implementations • 22 Feb 2023 • Colin Troisemaine, Vincent Lemaire, Stéphane Gosselin, Alexandre Reiffers-Masson, Joachim Flocon-Cholet, Sandrine Vaton

We then give an overview of the different families of approaches, organized by the way they transfer knowledge from the labeled set to the unlabeled set.

Contrastive Learning Novel Class Discovery +1

Découvrir de nouvelles classes dans des données tabulaires

1 code implementation • 28 Nov 2022 • Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, Vincent Lemaire

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.

Multi-Task Learning Novel Class Discovery

A Method for Discovering Novel Classes in Tabular Data

2 code implementations • 2 Sep 2022 • Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, Vincent Lemaire

In this paper, we propose TabularNCD, a new method for discovering novel classes in tabular data.

Multi-Task Learning Novel Class Discovery

On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models

no code implementations • 16 Jun 2020 • Amine Echraibi, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton

Thanks to the reparameterization trick, deep latent Gaussian models have shown tremendous success recently in learning latent representations.