Semi-supervised classification on MNIST 1000 labels
0.0084Error RateLadder Networks
Evaluation results
| Method | Links | |
|---|---|---|
| Ladder Networks2015.11 | 0.0084 | |
| VAT2015.11 | 0.0136 | |
| Adversarial Autoencoderstraining=end-to-end2015.11 | 0.016 | |
| CatGAN2015.11 | 0.0173 | |
| VAE (M1 + M2)2015.11 | 0.024 | |
| VAE (M2)2015.11 | 0.036 | |
| VAE (M1) + TSVM2015.11 | 0.0424 | |
| NN Baseline2015.11 | 0.0873 |