research
∙
08/29/2023
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts
Training machine learning models from data with weak supervision and dat...
share
research
∙
08/18/2023
biquality-learn: a Python library for Biquality Learning
The democratization of Data Mining has been widely successful thanks in ...
research
∙
08/20/2021
Contrastive Representations for Label Noise Require Fine-Tuning
In this paper we show that the combination of a Contrastive representati...
research
∙
12/16/2020
From Weakly Supervised Learning to Biquality Learning, a brief introduction
The field of Weakly Supervised Learning (WSL) has recently seen a surge ...
research
∙
10/19/2020
