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Empirical studies suggest that machine learning models often rely on features, such as the background, that may be spuriously correlated with the label only during training time, resulting in poor accuracy during test-time.
Cross-entropy loss and low-rank features have responsibility for adversarial examples
Kamil Nar, Orhan Ocal, S. Shankar Sastry, and Kannan Ramchandran · 1901
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Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, and David Lopez-Paz · 1907
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