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Accuracy on the Line: On the Strong Correlation
Between Out-of-Distribution and In-Distribution Generalization
John Miller 1 Rohan Taori 2 Aditi Raghunathan 2 Shiori Sagawa 2 Pang Wei Koh 2 Vaishaal Shankar 1
Percy Liang 2 Yair Carmon 3 Ludwig Schmidt 4
Abstract standard paradigm to measure generalization is to evaluate a
For machine learning systems to be reliable, we model on a single test set drawn from the same distribution
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