Learning to Augment with Feature Side-information

Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis

Abstract: Neural networks typically need huge amounts of data to train in order to get reasonable generalizable results. A common approach is to artificially generate samples by using prior knowledge of the ...