18 citations · 29 across the 6 of their papers we have counts for
Showing 2022 · stat.MLShow all
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stat.ML2022★ 2 cited
Falsehoods that ML researchers believe about OOD detection
Andi Zhang, Damon Wischik
An intuitive way to detect out-of-distribution (OOD) data is via the density function of a fitted probabilistic generative model: points with low density may be classed as OOD. But…
stat.ML2022
Out-of-Distribution Detection with Class Ratio Estimation
Mingtian Zhang, Andi Zhang, Tim Z. Xiao +2
Density-based Out-of-distribution (OOD) detection has recently been shown unreliable for the task of detecting OOD images. Various density ratio based approaches achieve good empir…