XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification

1 code implementation • 1 Aug 2022 • Frej Berglind, Haron Temam, Supratik Mukhopadhyay, Kamalika Das, Md Saiful Islam Sajol, Sricharan Kumar, Kumar Kallurupalli

Detecting out-of-distribution (OOD) data at inference time is crucial for many applications of machine learning.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

Improving robustness of classifiers by training against live traffic

no code implementations • 1 Dec 2018 • Kumar Sricharan, Kumar Kallurupalli, Ashok Srivastava

In this paper, we make the following observation: in practice, the out of distribution samples are contained in the traffic that hits a deployed classifier.