Understanding generalization in deep neural networks is an active area o...
Classification margins are commonly used to estimate the generalization
...
We propose a new framework to improve automatic speech recognition (ASR)...
Mismatched data is a challenging problem for automatic speech recognitio...
While deep neural networks (DNNs) have become a standard architecture fo...
Although Convolutional Neural Networks (CNNs) are widely used, their
tra...
Convolutional Neural Networks have become the standard for image
classif...
When training neural networks as classifiers, it is common to observe an...
A robust theoretical framework that can describe and predict the
general...