Deep Active Learning on MNIST
0.8738AUBCBADGE
Evaluation results
| Method | Links | |
|---|---|---|
| BADGEAugmentation=FV-Adv2025.12 | 0.8738 | |
| DFALAugmentation=FGSM-Adv2025.12 | 0.872 | |
| FVAAL2025.12 | 0.8719 | |
| BADGEAugmentation=FGSM-Adv2025.12 | 0.8708 | |
| DFALAugmentation=FV-Adv2025.12 | 0.868 | |
| DFAL2025.12 | 0.8554 | |
| RandomAugmentation=FGSM-Adv2025.12 | 0.8522 | |
| RandomAugmentation=FV-Adv2025.12 | 0.8408 | |
| FVAALAugmentation=None2025.12 | 0.8359 | |
| DFALAugmentation=None2025.12 | 0.8356 | |
| BADGE2025.12 | 0.825 | |
| Random2025.12 | 0.8079 |