Diffusion denoising process for perceptron bias in out-of-distribution detection

L Liu, Y Ren, X Cheng, R Huang, C Li… - arXiv preprint arXiv …, 2022 - arxiv.org
Out-of-distribution (OOD) detection is a crucial task for ensuring the reliability and safety of
deep learning. Currently, discriminator models outperform other methods in this regard …
被引用次数：6 相关文章

Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection

L Liu, Y Ren, X Cheng, R Huang, C Li… - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Abstract Out-of-distribution (OOD) detection is a crucial task for ensuring the reliability and
safety of deep learning. Currently, discriminator models outperform other methods in this …