Active Learning on MNIST (test)
96.9AccuracyMargin
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MarginNumber of labeled samples=5002026.07 | 96.9 | — | |
| GRINCO-bNumber of labeled samples=5002026.07 | 96.8 | — | |
| BADGENumber of labeled samples=5002026.07 | 96.6 | — | |
| GRINCONumber of labeled samples=5002026.07 | 96.2 | — | |
| RandomNumber of labeled samples=5002026.07 | 95.9 | — | |
| EntropyNumber of labeled samples=5002026.07 | 95.1 | — | |
| EuclideanNumber of labeled samples=5002026.07 | 93 | — | |
| REGradacquisition_cycles=102024.04 | 75.31 | 1.808 | |
| Inserted Dropoutacquisition_cycles=102024.04 | 72.84 | 1.836 | |
| MC-AAacquisition_cycles=102024.04 | 71.69 | 1.809 | |
| Perturb thetaacquisition_cycles=10, perturbation_target=parameters2024.04 | 71.44 | 1.826 | |
| Perturb xacquisition_cycles=10, perturbation_target=input2024.04 | 71.1 | 1.844 | |
| Entropyacquisition_cycles=102024.04 | 70.4 | 1.846 | |
| NEGradacquisition_cycles=102024.04 | 70.22 | 1.833 | |
| ExGradacquisition_cycles=102024.04 | 69.91 | 1.847 | |
| UNGradacquisition_cycles=102024.04 | 69.56 | 1.867 | |
| ExGrad V Termacquisition_cycles=102024.04 | 68.53 | 1.881 | |
| GradNormacquisition_cycles=102024.04 | 66.85 | 1.884 | |
| LAacquisition_cycles=102024.04 | 62.65 | 1.935 |