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 Performance Analysis




A permutation-free kernel two-sample test

Neural Information Processing Systems

The kernel Maximum Mean Discrepancy (MMD) is a popular multivariate distance metric between distributions that has found utility in two-sample testing.




RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection-Supplementary Material-A Experimental Setup Implementation Details

Neural Information Processing Systems

Table 1 present the evaluation results. We also evaluate our method on the CIFAR benchmark with various model architectures. The best three results are highlighted with red, blue, and cyan. The best two results are highlighted with red and blue . Table 2 compares the performance against all the post hoc baselines.