2.7k citations · 3k across the 24 of their papers we have counts for
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stat.ML2019
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions
Boris Knyazev, Carolyn Augusta, Graham W. Taylor
Reasoning about graphs evolving over time is a challenging concept in many domains, such as bioinformatics, physics, and social networks. We consider a common case in which edges c…
stat.ML2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Terrance DeVries, Graham W. Taylor
Modern neural networks are very powerful predictive models, but they are often incapable of recognizing when their predictions may be wrong. Closely related to this is the task of…
stat.ML2017★ 65 cited
Dataset Augmentation in Feature Space
Terrance DeVries, Graham W. Taylor
Dataset augmentation, the practice of applying a wide array of domain-specific transformations to synthetically expand a training set, is a standard tool in supervised learning. Wh…