Toward Metrics for Differentiating Out-of-Distribution Sets

1 code implementation • 18 Oct 2019 • Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagne, Rakesh Bobba

We empirically verify that the most protective OOD sets -- selected according to our metrics -- lead to A-CNNs with significantly lower generalization errors than the A-CNNs trained on the least protective ones.

Out of Distribution (OOD) Detection