3 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
Active Learning with Expected Error Reduction
Stephen Mussmann, Julia Reisler, Daniel Tsai +3
Active learning has been studied extensively as a method for efficient data collection. Among the many approaches in literature, Expected Error Reduction (EER) (Roy and McCallum) h…
cs.LG2018★ 3 cited
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions
Shayne O'Brien, Matt Groh, Abhimanyu Dubey
The true distribution parameterizations of commonly used image datasets are inaccessible. Rather than designing metrics for feature spaces with unknown characteristics, we propose…
cs.CL2018
Context is Key: New Approaches to Neural Coherence Modeling
David McClure, Shayne O'Brien, Deb Roy
We formulate coherence modeling as a regression task and propose two novel methods to combine techniques from our setup with pairwise approaches. The first of our methods is a mode…