Unsupervised Mnist On Mnist
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| subtab-subsetting-features-of-tabular-data | 98.31 |
| inferencing-based-on-unsupervised-learning-of | 96.61 |
| minimalistic-unsupervised-learning-with-the | 99.3 |
| stacked-capsule-autoencoders | 98.7 |
| pixelgan-autoencoders | 94.73 |
| invariant-information-distillation-for | 99.3 |
| adversarial-autoencoders | 95.9 |
| denmune-density-peak-based-clustering-using-1 | - |
| infogan-interpretable-representation-learning | 95 |
| unsupervised-and-semi-supervised-learning | 95.73 |
| improving-self-organizing-maps-with | 96.9 |