A Kolmogorov Complexity Approach to Generalization in Deep Learning

ICLR 2020 Anonymous

Deep artificial neural networks can achieve an extremely small difference between training and test accuracies on identically distributed training and test sets, which is a standard measure of generalization. However, the training and test sets may not be sufficiently representative of the empirical sample set, which consists of real-world input samples... (read more)

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