State-of-the-art convolutional networks easily memorize random labels and unstructured noise images, indicating that generalization in deep learning cannot be explained by traditional capacity or regularization arguments.
Statistical learning: Stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk min- imization
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Understanding deep learning requires rethinking generalization
State-of-the-art convolutional networks easily memorize random labels and unstructured noise images, indicating that generalization in deep learning cannot be explained by traditional capacity or regularization arguments.