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Found 2 papers, 1 papers with code
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
Effective out-of-distribution (OOD) detection is crucial for reliable machine learning models, yet most current methods are limited in practical use due to requirements like access to training data or intervention in training.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
+2
Shadowing, asymptotic shadowing and s-limit shadowing
We study three notions of shadowing: classical shadowing, limit (or asymptotic) shadowing, and s-limit shadowing.
Dynamical Systems 37E05 (Primary), 37C50, 37B10, 54H20, 26A18 (Secondary)
