Many downstream inference tasks for knowledge graphs, such as relation
p...
Many theories of scientific and technological progress imagine science a...
Graph convolutional networks are a popular class of deep neural network
...
A number of recent approaches have been proposed for pruning neural netw...
We provide a characterization of two types of directed homology for
full...
It is currently unclear why adversarial examples are easy to construct f...
We outline a detection method for adversarial inputs to deep neural netw...