1 code implementation • 2 Oct 2018 • Hyunsun Choi, Eric Jang, Alexander A. Alemi
Machine learning models encounter Out-of-Distribution (OoD) errors when the data seen at test time are generated from a different stochastic generator than the one used to generate the training data.