Image Classification on CIFAR10 4,000 labels (train)
12.41Error RateTriple-GAN-V2
Evaluation Results
| Method | Links | |
|---|---|---|
| Triple-GAN-V2Number of labels=4000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.12 | 12.41 | |
| SNTGNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 12.49 | |
| VAT+EntNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 13.15 | |
| VATNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 14.18 | |
| BadGANNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 14.41 | |
| MT (our code base)Number of labels=4000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.12 | 16.37 | |
| Triangle-GANNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 16.8 | |
| Triple-GAN-V1Number of labels=4000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [26])2019.12 | 16.99 | |
| Π modelNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 17.08 | |
| MTNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 17.74 | |
| Pseudo LabelNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 17.78 | |
| ALINumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 18.3 | |
| Improved-GANNumber of labels=4000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [26])2019.12 | 18.63 | |
| CatGANNumber of labels=4000, Data Augmentation=false2019.12 | 19.58 | |
| LadderNumber of labels=4000, Data Augmentation=false2019.12 | 20.4 |