Image Classification on MNIST (test) (Accuracy, F1-Score, ECE, Diversity)
98.2AccuracyDE-VGN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DE-VGNEnsemble size (M)=52026.02 | 98.2 | 98.2 | 0.7 | 0.0014 | |
| DEEnsemble size (M)=52026.02 | 98.1 | 98.1 | 1.2 | 0.0023 | |
| MCDEnsemble size (M)=1002026.02 | 97.4 | 97.3 | 4.1 | 0.003 | |
| Standard NetworkEnsemble size (M)=12026.02 | 97.3 | 97.3 | 0.4 | — | |
| MCD-LLEEnsemble size (M)=52026.02 | 97.3 | 97.3 | 0.6 | 0.0002 | |
| MCD-LLEEnsemble size (M)=102026.02 | 97.3 | 97.3 | 0.6 | 0.0002 | |
| MCD-LLEEnsemble size (M)=1002026.02 | 97.3 | 97.3 | 0.6 | 0.0002 | |
| MCD-LLEEnsemble size (M)=10002026.02 | 97.3 | 97.3 | 0.6 | 0.0002 | |
| LLEEnsemble size (M)=102026.02 | 97.2 | 97.1 | 0.5 | 0.0008 | |
| MCDEnsemble size (M)=52026.02 | 97.1 | 97 | 4 | 0.0027 | |
| MCDEnsemble size (M)=102026.02 | 97.1 | 97.1 | 4.1 | 0.0029 | |
| LLEEnsemble size (M)=52026.02 | 97.1 | 97.1 | 0.5 | 0.0006 | |
| LLE-VGNEnsemble size (M)=102026.02 | 97.1 | 97.1 | 0.5 | 0.0009 | |
| LLEEnsemble size (M)=1002026.02 | 97 | 97 | 0.5 | 0.001 | |
| LLE-VGNEnsemble size (M)=52026.02 | 97 | 97 | 0.5 | 0.0007 | |
| LLE-VGNEnsemble size (M)=1002026.02 | 97 | 96.9 | 0.5 | 0.0011 |