Out-of-distribution generalisation in spoken language understanding

Dejan Porjazovski, Anssi Moisio, Mikko Kurimo

Test data is said to be out-of-distribution (OOD) when it unexpectedly differs from the training data, a common challenge in real-world use cases of machine learning. Although OOD…