no code implementations • 18 Apr 2024 • Sina Sharifi, Taha Entesari, Bardia Safaei, Vishal M. Patel, Mahyar Fazlyab
In this work, we propose the idea of leveraging the information embedded in the gradient of the loss function during training to enable the network to not only learn a desired OOD score for each sample but also to exhibit similar behavior in a local neighborhood around each sample.
Out-of-Distribution Detection Out of Distribution (OOD) Detection
1 code implementation • 1 Nov 2022 • Taha Entesari, Sina Sharifi, Mahyar Fazlyab
We propose a novel Branch-and-Bound method for reachability analysis of neural networks in both open-loop and closed-loop settings.