91 citations · 395 across the 40 of their papers we have counts for
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cs.LG2017
Concave losses for robust dictionary learning
Rafael Will M de Araujo, Roberto Hirata, Alain Rakotomamonjy
Traditional dictionary learning methods are based on quadratic convex loss function and thus are sensitive to outliers. In this paper, we propose a generic framework for robust dic…
stat.ML2017★ 69 cited
Joint Distribution Optimal Transportation for Domain Adaptation
Nicolas Courty, Rémi Flamary, Amaury Habrard +1
This paper deals with the unsupervised domain adaptation problem, where one wants to estimate a prediction function in a given target domain without any labeled sample by explo…