Low-Budget Active Learning through Entropic Optimal Transport
This paper uses entropic optimal transport, specifically the Sinkhorn divergence, as the coreset selection criterion, which first allows us to get dimension-free sample complexity results, and second admits computationally efficient gradient evaluations.
Rim Hajal, Mathieu Besançon, Jérôme Malick
· 0 citations