Sibylvariant Transformations for Robust Text Classification

The vast majority of text transformation techniques in NLP are inherently limited in their ability to expand input space coverage due to an implicit constraint to preserve the original class label. In this work, we propose the notion of sibylvariance …

Is Neuron Coverage a Meaningful Measure for Testing Deep Neural Networks?

Recent effort to test deep learning systems has produced an intuitive and compelling test criterion called neuron coverage (NC), which resembles the notion of traditional code coverage. NC measures the proportion of neurons activated in a neural …

Predicting Stock Prices with Pyro and GNNs

Learning company relations from stock price movements alone can be extremely profitable.