Sébastien Drouyer

Out-Of-Distribution As A Target Class in Semi-Supervised Learning

A key limitation of supervised learning is the ability to handle data from unknown distributions. Often, such methods fail when presented with samples from a source not represented in the training data. This work proposes an effective way of controlling the behavior of a neural network in the presen…