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08/29/2023
Input margins can predict generalization too
Understanding generalization in deep neural networks is an active area o...
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The Missing Margin: How Sample Corruption Affects Distance to the Boundary in ANNs
Classification margins are commonly used to estimate the generalization ...
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Exploring layerwise decision making in DNNs
While deep neural networks (DNNs) have become a standard architecture fo...
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04/13/2021
Tracking translation invariance in CNNs
Although Convolutional Neural Networks (CNNs) are widely used, their tra...
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03/18/2021