Out of distribution (OOD) medical images are frequently encountered, e.g...
We propose the first Bayesian encoder for metric learning. Rather than
r...
Established methods for unsupervised representation learning such as
var...
Having access to an exploring restart distribution (the so-called wide
c...
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