Uncertainty-based out-of-distribution detection requires suitable function space priors

By Francesco D'Angelo, Christian Henning. 2021

11 citations recorded by the source corpus.

Subfields: Anomaly & Outlier Detection

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Liyuan Wang
2. Hang Su
3. Xingxing Zhang
4. Jun Zhu
5. Yinpeng Dong
6. Hongwei Yan
7. Tianyu Pang
8. Zhe Gan

Citations in the corpus

• A Comprehensive Survey of Continual Learning: Theory, Method and Application (2023, background): “This is closely related to the out-of-distribution (OOD) detection, where the predictive uncertainty should be low for in-distribution data and high for OOD data [74], [75], [76], [77].”