2023
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
AAAI 2023technical
Out-of-distribution (OOD) detection can be used in deep learning-based applications to reject outlier samples from being unreliably classified by deep neural networks. Learning to classify between OOD and in-distribution samples is difficult because data comprising the former is extremely diverse. I…