Image Classification on CIFAR-10 automobile vs. cat
99.8AUCAUC-Spec
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AUC-SpecNumber of labeled points=2002026.02 | 99.8 | 93.4 | |
| Top eigenvectorsNumber of labeled points=2002026.02 | 99.8 | 98.6 | |
| p laplaceNumber of labeled points=2002026.02 | 99.8 | 92.8 | |
| Label propagationNumber of labeled points=2002026.02 | 99 | 51 | |
| Poisson learningNumber of labeled points=2002026.02 | 98.9 | 93.2 | |
| p laplaceNumber of labeled points=202026.02 | 98.7 | 92.2 | |
| AUC-SpecNumber of labeled points=202026.02 | 98.4 | 90.8 | |
| Poisson learningNumber of labeled points=202026.02 | 98.3 | 93 | |
| p laplaceNumber of labeled points=122026.02 | 98.2 | 91.4 | |
| AUC-SpecNumber of labeled points=102026.02 | 98.1 | 88.7 | |
| AUC-SpecNumber of labeled points=122026.02 | 98.1 | 90.7 | |
| Label propagationNumber of labeled points=102026.02 | 98 | 50.3 | |
| Poisson learningNumber of labeled points=102026.02 | 98 | 92.7 | |
| Top eigenvectorsNumber of labeled points=202026.02 | 97.9 | 94 | |
| p laplaceNumber of labeled points=102026.02 | 97.9 | 91.4 | |
| Label propagationNumber of labeled points=202026.02 | 97.7 | 50.1 | |
| Poisson learningNumber of labeled points=122026.02 | 97.7 | 92.8 | |
| Label propagationNumber of labeled points=122026.02 | 97.6 | 50.1 | |
| Top eigenvectorsNumber of labeled points=122026.02 | 97 | 92.1 | |
| AUC-SpecNumber of labeled points=82026.02 | 96.8 | 88.7 | |
| Label propagationNumber of labeled points=82026.02 | 96.8 | 50 | |
| p laplaceNumber of labeled points=82026.02 | 96.2 | 88.5 | |
| Poisson learningNumber of labeled points=82026.02 | 96.2 | 90.3 | |
| Top eigenvectorsNumber of labeled points=102026.02 | 96.1 | 91 | |
| Top eigenvectorsNumber of labeled points=82026.02 | 94.3 | 87.8 |