most citedOut-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)

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cs.CV2023

GROOD: GRadient-Aware Out-of-Distribution Detection

Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot +2

Out-of-distribution (OOD) detection is crucial for ensuring the reliability of deep learning models in real-world applications. Existing methods typically focus on feature represen…