마할라노비스 OOD (1) 썸네일형 리스트형 [논문리뷰] A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks 논문 링크 :https://arxiv.org/abs/1807.03888 A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Detecting test samples drawn sufficiently far away from the training distribution statistically or adversarially is a fundamental requirement for deploying a good classifier in many real-world machine learning applications. However, deep neural networks wi arxiv.or.. 이전 1 다음
