| 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 |
| Towards neural networks that provably know when they don't know | 0 | 0.34 | 2020 |
