| Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. | 0 | 0.34 | 2022 |
| Certifiably Adversarially Robust Detection of Out-of-Distribution Data. | 0 | 0.34 | 2020 |
| Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem | 7 | 0.46 | 2018 |
