12 citations · 15 across the 8 of their papers we have counts for
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cs.LG2023
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts
Pierre Nodet, Vincent Lemaire, Alexis Bondu +1
Training machine learning models from data with weak supervision and dataset shifts is still challenging. Designing algorithms when these two situations arise has not been explored…
cs.LG2023
biquality-learn: a Python library for Biquality Learning
Pierre Nodet, Vincent Lemaire, Alexis Bondu +1
The democratization of Data Mining has been widely successful thanks in part to powerful and easy-to-use Machine Learning libraries. These libraries have been particularly tailored…