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On the Impact of Stable Ranks in Deep Nets
A recent line of work has established intriguing connections between the generalization/compression properties of a deep neural network (DNN) model and the so-called layer weights' stable ranks.
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
We are largely motivated by the search for a soft measure that sheds further light on the decision boundary's geometry.
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