Image Classification on ImageNet-C (Brier Scores)
0.38Brier Score Severity 1Deep Ensembles
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Deep Ensembles2025.10 | 0.38 | 0.45 | 0.52 | 0.64 | 0.76 | 0.55 | |
| MIMO2025.10 | 0.39 | 0.47 | 0.54 | 0.65 | 0.78 | 0.56 | |
| Single2025.10 | 0.4 | 0.48 | 0.56 | 0.67 | 0.8 | 0.58 | |
| MC Dropout2025.10 | 0.4 | 0.48 | 0.55 | 0.66 | 0.79 | 0.57 | |
| LoRA Ensembles2025.10 | 0.4 | 0.49 | 0.56 | 0.68 | 0.8 | 0.58 | |
| Batch Ensemble2025.10 | 0.41 | 0.49 | 0.56 | 0.68 | 0.8 | 0.58 | |
| Hydra Ensemblesvariant=Taylor2025.10 | 0.41 | 0.48 | 0.55 | 0.64 | 0.76 | 0.56 | |
| Taylor2025.10 | 0.42 | 0.49 | 0.56 | 0.66 | 0.79 | 0.58 | |
| Hydra Ensemblesvariant=Circ2025.10 | 0.42 | 0.5 | 0.57 | 0.67 | 0.79 | 0.59 | |
| Packed Ensembles2025.10 | 0.43 | 0.52 | 0.6 | 0.71 | 0.83 | 0.61 | |
| OBA2025.10 | 0.43 | 0.5 | 0.57 | 0.67 | 0.79 | 0.59 | |
| CircAvg2025.10 | 0.43 | 0.5 | 0.57 | 0.68 | 0.8 | 0.59 |