Adaptive Data Augmentation with Deep Parallel Generative Models

no code implementations • 25 Sep 2019 • Boli Fang, Miao Jiang, Abhirag Nagpure, Jerry Shen

Data augmentation(DA) is a useful technique to enlarge the size of the training set and prevent overfitting for different machine learning tasks when training data is scarce.

BIG-bench Machine Learning Data Augmentation +2