Image Classification on CIFAR-10 (Accuracy, ECE, NLL, Brier)
88.6AccuracyTaylor-Sensus
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Taylor-Sensus2026.04 | 88.6 | 8.91 | 0.432 | 0.185 | |
| SWAG2026.04 | 88.4 | 9.35 | 0.395 | 0.189 | |
| VOLTA2026.04 | 87.7 | 1 | 0.391 | 0.195 | |
| MC Dropout2026.04 | 87.2 | 1.85 | 0.421 | 0.201 | |
| Hyperbolic2026.04 | 87.1 | 9.2 | 0.43 | 0.205 | |
| Temperature Scaling2026.04 | 87 | 2.68 | 0.41 | 0.198 | |
| ENN2026.04 | 86.9 | 2.8 | 0.419 | 0.202 | |
| Energy-based OOD2026.04 | 86.8 | 4.12 | 0.438 | 0.21 | |
| Split Conformal2026.04 | 86.7 | 3.45 | 0.44 | 0.207 | |
| Mahalanobis2026.04 | 86.5 | 4.5 | 0.452 | 0.215 |