15 citations · 46 across the 18 of their papers we have counts for
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cs.CV2019★ 1 cited
Learning Implicit Generative Models by Matching Perceptual Features
Cicero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi +1
Perceptual features (PFs) have been used with great success in tasks such as transfer learning, style transfer, and super-resolution. However, the efficacy of PFs as key source of…
cs.LG2019★ 15 cited
Wasserstein Barycenter Model Ensembling
Pierre Dognin, Igor Melnyk, Youssef Mroueh +3
In this paper we propose to perform model ensembling in a multiclass or a multilabel learning setting using Wasserstein (W.) barycenters. Optimal transport metrics, such as the Was…