Learning to Compose Domain-Specific Transformations for Data Augmentation

1 code implementation • NeurIPS 2017 • Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré

Data augmentation is a ubiquitous technique for increasing the size of labeled training sets by leveraging task-specific data transformations that preserve class labels.

Image Augmentation Relation Extraction +1