Browsing: Interpretable Models

This article discusses the advancements in computer vision and its applications in enhancing wireless networks, human-computer interaction, and high-stakes decision making. It also highlights…

This paper introduces Convolutional Motif Kernel Networks, a neural network architecture that involves learning a feature representation within a subspace of the reproducing kernel…