Metric Learning from Imbalanced Data

Autor: Gautheron, Léo, Morvant, Emilie, Habrard, Amaury, Sebban, Marc

A key element of any machine learning algorithm is the use of a function that measures the dis/similarity between data points. Given a task, such a function can be optimized with a metric learning algorithm. Although this research field has received

Externí odkaz: http://arxiv.org/abs/1909.01651

Feature Selection for Unsupervised Domain Adaptation using Optimal Transport

Autor: Gautheron, Léo, Redko, Ievgen, Lartizien, Carole

In this paper, we propose a new feature selection method for unsupervised domain adaptation based on the emerging optimal transportation theory. We build upon a recent theoretical analysis of optimal transport in domain adaptation and show that it ca

Externí odkaz: http://arxiv.org/abs/1806.10861

POT : Python Optimal Transport

Autor: Flamary, Rémi, Courty, Nicolas, Gramfort, Alexandre, Alaya, Mokhtar Zahdi, Boisbunon, Aurélie, Chambon, Stanislas, Chapel, Laetitia, Corenflos, Adrien, Fatras, Kilian, Fournier, Nemo, Gautheron, Léo, Gayraud, Nathalie, Janati, Hicham, Rakotomamonjy, Alain, Redko, Ievgen, Rolet, Antoine, Schutz, Antony, Seguy, Vivien, Sutherland, Danica, Tavenard, Romain, Tong, Alexander, Vayer, Titouan

Publikováno v: Journal of Machine Learning Research
Journal of Machine Learning Research, 2021
Journal of Machine Learning Research, Microtome Publishing, 2021

International audience; Optimal transport has recently been reintroduced to the machine learning community thanks in part to novel efficient optimization procedures allowing for medium to large scale applications. We propose a Python toolbox that imp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2397803a8211e278db41efb04a55c0b8
https://hal.science/hal-03264013/file/20-451.pdf

Learning Tailored Data Representations from Few Labeled Examples

Autor: Gautheron, Léo

Publikováno v: Apprentissage [cs.LG]. Université de Lyon, 2020. Français. ⟨NNT : 2020LYSES044⟩

Machine learning consists in the study and design of algorithms that build models able to handle non trivial tasks as well as or better than humans and hopefully at a lesser cost.These models are typically trained from a dataset where each example de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::32fda1ba13f50e3a6bbc8bbc2656b6d6
https://tel.archives-ouvertes.fr/tel-03222471/document

Adaptation de domaine pour la détection automatique du cancer de la prostate en imagerie IRM multiparamétrique

Autor: Gautheron, Léo, Redko, Ievgen, Lartizien, Carole

Publikováno v: GRETSI
GRETSI, Sep 2017, Nice, France

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::590b78c024d5e7c1821e605323a2ae8b
https://hal.archives-ouvertes.fr/hal-02011222