1. A baseline for detecting misclassified and out-of-distribution examples in neural networks;Hendrycks,2016
2. A simple unified framework for detecting out-of-distribution samples and adversarial attacks;Lee;Adv. Neural Inf. Process. Syst.,2018
3. Enhancing the reliability of out-of-distribution image detection in neural networks;Liang,2017
4. Recent advances in open set recognition: A survey;Geng;IEEE Trans. Pattern Anal. Mach. Intell.,2020
5. Towards neural networks that provably know when they don’t know;Meinke,2019