Neural Network Out-of-Distribution Detection for Regression Tasks

ICLR 2020 Anonymous

Neural network out-of-distribution (OOD) detection aims to identify when a model is unable to generalize to new inputs, either due to covariate shift or anomalous data. Most existing OOD methods only apply to classification tasks, as they assume a discrete set of possible predictions... (read more)

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