6 citations · 19 across the 11 of their papers we have counts for
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cs.LG2022★ 4 cited
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection
Guoxuan Xia, Christos-Savvas Bouganis
The ability to detect Out-of-Distribution (OOD) data is important in safety-critical applications of deep learning. The aim is to separate In-Distribution (ID) data drawn from the…
cs.LG2022★ 2 cited
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data
Guoxuan Xia, Christos-Savvas Bouganis
Detecting out-of-distribution (OOD) data is a task that is receiving an increasing amount of research attention in the domain of deep learning for computer vision. However, the per…