NVIDIA Corporation
PROCESSOR AND SYSTEM TO IDENTIFY OUT-OF-DISTRIBUTION INPUT DATA IN NEURAL NETWORKS

Abstract:

Apparatuses, systems, and techniques to identify out-of-distribution input data in one or more neural networks. In at least one embodiment, a technique includes training a first portion of a neural network in a first set of data, and training a second portion of the neural network on a second set of data, where the first and second sets of data are similar within a first range.