While "attention is all you need" may be proving true, we do not yet kno...
While Deep Neural Networks (DNNs) are becoming the state-of-the-art for ...
With the growing use of AI in highly consequential domains, the
quantifi...
Feature attributions are a popular tool for explaining the behavior of D...
LSTM-based recurrent neural networks are the state-of-the-art for many
n...
Typical security contests focus on breaking or mitigating the impact of ...
We examine whether neural natural language processing (NLP) systems refl...
Causal influence measures for machine learnt classifiers shed light on t...
Numeric static analysis for Java has a broad range of potentially useful...
Many machine learning systems utilize latent factors as internal
represe...