Pierre Nodet

According to our database, Pierre Nodet authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

Mach. Learn., December, 2023

Biquality learning: from weakly supervised learning to distribution shifts. (Apprentissage biqualité: de l'apprentissage faiblement supervisé aux décalages de distribution).

Pierre Nodet

PhD thesis, 2023

biquality-learn: a Python library for Biquality Learning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

CoRR, 2023

2022

Repondération Préférentielle pour l'Apprentissage Biqualité.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

Proceedings of the Extraction et Gestion des Connaissances, 2022

2021

Contrastive Representations for Label Noise Require Fine-Tuning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

From Weakly Supervised Learning to Biquality Learning: an Introduction.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou

Proceedings of the International Joint Conference on Neural Networks, 2021

Importance Reweighting for Biquality Learning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

From Weakly Supervised Learning to Biquality Learning, a brief introduction.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou

CoRR, 2020

Importance Reweighting for Biquality Learning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

CoRR, 2020