Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions

Scott Mahan, Henry Kvinge, Tim Doster

Building invariance to non-meaningful transformations is essential to building efficient and generalizable machine learning models. In practice, the most common way to learn invari…