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Found 2 papers, 1 papers with code
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation
Second, we enforce an accommodating topological property to the image of the deep neural mapping to the latent space: compactness to alleviate the flaw and obtain the means to provably bound the image within the determined limits by squeezing both inliers and outliers together.
Do Bayesian Variational Autoencoders Know What They Don't Know?
The problem of detecting the Out-of-Distribution (OoD) inputs is of paramount importance for Deep Neural Networks.
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