Seguir
Pierre Nodet
Pierre Nodet
Orange Innovation
Dirección de correo verificada de orange.com
Título
Citado por
Citado por
Año
From Weakly Supervised Learning to Biquality Learning: an Introduction
P Nodet, V Lemaire, A Bondu, A Cornuéjols, A Ouorou
In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2021
332021
Importance Reweighting for Biquality Learning
P Nodet, V Lemaire, A Bondu, A Cornuéjols, A Ouorou
In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2021
82021
Contrastive representations for label noise require fine-tuning
P Nodet, V Lemaire, A Bondu, A Cornuéjols
arXiv preprint arXiv:2108.09154, 2021
22021
Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts
P Nodet, V Lemaire, A Bondu, A Cornuéjols
Machine Learning 112 (12), 4663-4692, 2023
2023
biquality-learn: a Python library for Biquality Learning
P Nodet, V Lemaire, A Bondu, A Cornuéjols
arXiv preprint arXiv:2308.09643, 2023
2023
Biquality learning: from weakly supervised learning to distribution shifts
P Nodet
Université Paris-Saclay, 2023
2023
Repondération Préférentielle pour l’Apprentissage Biqualité
P Nodet, V Lemaire, A Bondu, A Cornuéjols
Extraction et Gestion des Connaissances: EGC'2022 38, 2022
2022
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–7