Research Article
An Active Learning Method Based on Variational Autoencoder and DBSCAN Clustering
Table 1
Mean accuracy (%) of different methods on MNIST from 20 runs.
| Number of labeled examples | 15 | 20 | 25 | 30 | 35 | 40 | 45 | 50 |
| DBSCAN with VAE | 49.76 | 58.51 | 59.67 | 60.90 | 64.38 | 69.02 | 69.68 | 71.28 | Random | 30.19 | 43.05 | 52.34 | 51.68 | 57.30 | 64.03 | 60.75 | 64.96 | Uncertainty | 37.74 | 48.29 | 44.15 | 59.35 | 61.41 | 67.69 | 61.70 | 68.59 | Core Set | 49.03 | 48.03 | 54.51 | 54.99 | 56.34 | 58.89 | 53.97 | 60.13 | EGL | 44.73 | 46.80 | 41.27 | 52.37 | 49.89 | 51.49 | 57.05 | 59.73 | Bayesian | 32.33 | 31.50 | 35.30 | 37.59 | 39.52 | 45.13 | 54.41 | 56.21 |
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