collaborators

1 paper

cs.CL2020

Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data

David Lowell, Brian E. Howard, Zachary C. Lipton +1

Unsupervised Data Augmentation (UDA) is a semi-supervised technique that applies a consistency loss to penalize differences between a model's predictions on (a) observed (unlabeled…