no code implementations • 28 Nov 2022 • Nathan Drenkow, Alvin Tan, Chace Ashcraft, Kiran Karra
The deployment of machine learning models in safety-critical applications comes with the expectation that such models will perform well over a range of contexts (e. g., a vision model for classifying street signs should work in rural, city, and highway settings under varying lighting/weather conditions).