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pro vyhledávání: '"Kallurupalli, Kumar"'
Autor:
Berglind, Frej, Temam, Haron, Mukhopadhyay, Supratik, Das, Kamalika, Sajol, Md Saiful Islam, Kumar, Sricharan, Kallurupalli, Kumar
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 framework for image classification that consists of two algorithms. The first,
Externí odkaz:
http://arxiv.org/abs/2208.00629
Deep learning models are known to be overconfident in their predictions on out of distribution inputs. This is a challenge when a model is trained on a particular input dataset, but receives out of sample data when deployed in practice. Recently, the
Externí odkaz:
http://arxiv.org/abs/1812.00237