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Minibatch optimal transport distances; analysis and applications
Optimal transport distances have become a classic tool to compare probab...
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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...
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Learning with minibatch Wasserstein : asymptotic and gradient properties
Optimal transport distances are powerful tools to compare probability di...
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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...
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Kilian Fatras
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