2021
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
ICML 2021spotlight
For machine learning systems to be reliable, we must understand their performance in unseen, out- of-distribution environments. In this paper, we empirically show that out-of-distribution performance is strongly correlated with in-distribution performance for a wide range of models and distribution…