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Minibatch optimal transport distances; analysis and applications
Optimal transport distances have become a classic tool to compare probab...
01/05/2021 ∙ by Kilian Fatras, et al. ∙
9
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Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN
Adversarial examples are a hot topic due to their abilities to fool a cl...
01/27/2020 ∙ by Jean-Christophe Burnel, et al. ∙
3
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Learning with minibatch Wasserstein : asymptotic and gradient properties
Optimal transport distances are powerful tools to compare probability di...
10/09/2019 ∙ by Kilian Fatras, et al. ∙
38
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Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise
Noisy labels often occur in vision datasets, especially when they are is...
04/08/2019 ∙ by Bharath Bhushan Damodaran, et al. ∙
16
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