Out-of-Distribution Detection Using Neural Rendering Generative Models

10 Jul 2019Yujia HuangSihui DaiTan NguyenRichard G. BaraniukAnima Anandkumar

Out-of-distribution (OoD) detection is a natural downstream task for deep generative models, due to their ability to learn the input probability distribution. There are mainly two classes of approaches for OoD detection using deep generative models, viz., based on likelihood measure and the reconstruction loss... (read more)

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