3 citations · 7 across the 7 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.CL2020
Posterior Calibrated Training on Sentence Classification Tasks
Taehee Jung, Dongyeop Kang, Hua Cheng +2
Most classification models work by first predicting a posterior probability distribution over all classes and then selecting that class with the largest estimated probability. In m…
stat.ML2020
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance
Lucas Mentch, Siyu Zhou
As the size, complexity, and availability of data continues to grow, scientists are increasingly relying upon black-box learning algorithms that can often provide accurate predicti…