Image Classification on CIFAR-100 (Standard & Calibration Assessment)
82.5AccuracyLoRA-Ensemble
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LoRA-EnsembleEnsemble size=162024.05 | 82.5 | 82.5 | 3.5 | 0.587 | 0.253 | |
| Explicit EnsembleEnsemble size=162024.05 | 79.8 | 79.8 | 10 | 0.745 | 0.284 | |
| ENN (EpiNet)2024.05 | 79.7 | 79.7 | 12.8 | 1.016 | 0.323 | |
| Single Net w/ LoRA2024.05 | 79.6 | 79.4 | 1.4 | 0.671 | 0.286 | |
| MC Dropout2024.05 | 77.1 | 77.2 | 5.5 | 1.138 | 0.336 | |
| Snapshot EnsembleEnsemble size=162024.05 | 77 | 77.2 | 12.3 | 4.416 | 1.614 | |
| Single Network2024.05 | 76.6 | 76.6 | 14.5 | 1.181 | 0.37 | |
| Last-layer EnsembleEnsemble size=162024.05 | 73.4 | 73 | 9.3 | 0.978 | 0.376 | |
| Batch-EnsembleEnsemble size=162024.05 | 68.8 | 68.5 | 10.2 | 1.093 | 0.437 | |
| SNGP2024.05 | 32.2 | 30.1 | 7.2 | 2.744 | 0.817 |