Search Results for author: François Deheeger

Found 2 papers, 2 papers with code

Maximum Weight Entropy

2 code implementations • 27 Sep 2023 • Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Under this paradigm, the epistemic uncertainty is described by the weight distribution of maximal entropy that produces neural networks "consistent" with the training observations.

Out-of-Distribution Detection Uncertainty Quantification

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ADAPT : Awesome Domain Adaptation Python Toolbox

1 code implementation • 7 Jul 2021 • Antoine de Mathelin, Mounir Atiq, Guillaume Richard, Alejandro de la Concha, Mouad Yachouti, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

In this paper, we introduce the ADAPT library, an open source Python API providing the implementation of the main transfer learning and domain adaptation methods.

Domain Adaptation Transfer Learning

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