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12/09/2022
Scalable Graph Convolutional Network Training on Distributed-Memory Systems
Graph Convolutional Networks (GCNs) are extensively utilized for deep le...
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08/30/2022
RAGUEL: Recourse-Aware Group Unfairness Elimination
While machine learning and ranking-based systems are in widespread use f...
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03/28/2022
Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications
Current approaches for modeling propagation in networks (e.g., spread of...
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04/09/2019
Characterizing the impact of geometric properties of word embeddings on task performance
Analysis of word embedding properties to inform their use in downstream ...
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05/02/2018
Hypothesis Only Baselines in Natural Language Inference
We propose a hypothesis only baseline for diagnosing Natural Language In...
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04/23/2018