Classification on PI-MNIST (test)
0.0079Classification ErrorLadder Γ-model
Evaluation results
| Method | Links | |
|---|---|---|
| Ladder Γ-modelNumber of labeled examples (n)=All2015.11 | 0.0079 | |
| MTCNumber of labeled examples (n)=All2015.11 | 0.0081 | |
| CatGAN (semi-supervised)Number of labeled examples (n)=All2015.11 | 0.0091 | |
| SS-VAENumber of labeled examples (n)=All2015.11 | 0.0096 | |
| MTCNumber of labeled examples (n)=10002015.11 | 0.01 | |
| Ladder fullNumber of labeled examples (n)=10002015.11 | 0.01 | |
| PEANumber of labeled examples (n)=All2015.11 | 0.0108 | |
| Ladder fullNumber of labeled examples (n)=1002015.11 | 0.0113 | |
| Ladder Γ-modelNumber of labeled examples (n)=10002015.11 | 0.0171 | |
| CatGAN (semi-supervised)Number of labeled examples (n)=10002015.11 | 0.0173 | |
| CatGAN (semi-supervised)Number of labeled examples (n)=1002015.11 | 0.0191 | |
| PEANumber of labeled examples (n)=10002015.11 | 0.0233 | |
| SS-VAENumber of labeled examples (n)=10002015.11 | 0.024 | |
| PEA+Number of labeled examples (n)=10002015.11 | 0.0267 | |
| SS-VAENumber of labeled examples (n)=1002015.11 | 0.0333 | |
| VAE+SVMNumber of labeled examples (n)=10002015.11 | 0.0424 | |
| Ladder Γ-modelNumber of labeled examples (n)=1002015.11 | 0.0434 | |
| PEA+Number of labeled examples (n)=1002015.11 | 0.0521 | |
| CatGAN (unsupervised)Number of labeled examples (n)=1002015.11 | 0.097 | |
| RIM + NNNumber of labeled examples (n)=10002015.11 | 0.1041 | |
| PEANumber of labeled examples (n)=1002015.11 | 0.1079 | |
| VAE+SVMNumber of labeled examples (n)=1002015.11 | 0.1182 | |
| MTCNumber of labeled examples (n)=1002015.11 | 0.1203 | |
| GAN + SVMNumber of labeled examples (n)=10002015.11 | 0.1321 | |
| RIM + NNNumber of labeled examples (n)=1002015.11 | 0.1619 | |
| GAN + SVMNumber of labeled examples (n)=1002015.11 | 0.2871 |