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Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning

Luca Oneto, Michele Donini, Giulia Luise, Carlo Ciliberto, Andreas Maurer, Massimiliano Pontil

2020Neural Information Processing Systems26 citations

Topics & Concepts

Computer scienceRepresentation (politics)Artificial intelligenceTheoretical computer scienceLawPoliticsPolitical scienceAdversarial Robustness in Machine LearningEthics and Social Impacts of AIDomain Adaptation and Few-Shot Learning
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning | Litcius