Image Classification on CIFAR-10 (test) (Accuracy, F1, ECE Reporting)
87.5AccuracyDE-VGN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DE-VGNM=52026.02 | 87.5 | 87.5 | 0.023 | 0.0098 | |
| LLEM=52026.02 | 85.5 | 85.5 | 0.062 | 0.0024 | |
| Single ModelM=12026.02 | 85.3 | 85.2 | 0.07 | — | |
| MCDM=1002026.02 | 85.3 | 85.3 | 0.053 | 0.0017 | |
| MCD-LLEM=102026.02 | 85.3 | 85.2 | 0.067 | 0.0004 | |
| MCD-LLEM=1002026.02 | 85.3 | 85.2 | 0.067 | 0.0004 | |
| MCD-LLEM=10002026.02 | 85.3 | 85.2 | 0.067 | 0.0004 | |
| MCDM=52026.02 | 85.2 | 85.1 | 0.057 | 0.0014 | |
| MCDM=102026.02 | 85.2 | 85.1 | 0.055 | 0.0015 | |
| MCD-LLEM=52026.02 | 85.2 | 85.2 | 0.067 | 0.0003 | |
| LLEM=1002026.02 | 85.1 | 85 | 0.065 | 0.0059 | |
| LLE-VGNM=102026.02 | 84.9 | 84.9 | 0.066 | 0.0032 | |
| LLEM=102026.02 | 84.8 | 84.8 | 0.058 | 0.0036 | |
| LLE-VGNM=1002026.02 | 84.7 | 84.8 | 0.071 | 0.0054 | |
| LLE-VGNM=52026.02 | 84.6 | 84.5 | 0.067 | 0.0023 | |
| DEM=52026.02 | 83.6 | 83.6 | 0.049 | 0.019 |