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Out-of-Distribution Detection in Multi-Label Datasets using Latent Space of $β$-VAE
We use the fact that compact latent space generated by an appropriately selected $\beta$-VAE will encode the information about these factors in a few latent variables, and that can be used for computationally inexpensive detection.
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