Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang

Neural Information Processing Systems 

In the context of modern machine learning, models deployed in real-world scenarios often encounter diverse data shifts like covariate and semantic shifts, leading to challenges in both out-of-distribution (OOD) generalization and detection.

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