A statistical framework for efficient out of distribution detection in deep neural networks

no code implementations • ICLR 2022 • Matan Haroush, Tzviel Frostig, Ruth Heller, Daniel Soudry

Our method achieves comparable or better results than state-of-the-art methods on well-accepted OOD benchmarks, without retraining the network parameters or assuming prior knowledge on the test distribution -- and at a fraction of the computational cost.

Autonomous Vehicles Out-of-Distribution Detection +1