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cs.LG2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
Jiaxin Zhang, Kamalika Das, Sricharan Kumar
Uncertainty estimation is a crucial aspect of deploying dependable deep learning models in safety-critical systems. In this study, we introduce a novel and efficient method for det…
cs.LG2022
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification
Frej Berglind, Haron Temam, Supratik Mukhopadhyay +4
Detecting out-of-distribution (OOD) data at inference time is crucial for many applications of machine learning. We present XOOD: a novel extreme value-based OOD detection framewor…