Generative Modeling on Omniglot dynamically binarized (train)
-108.51Training ELBORODEO
Evaluation results
| Method | Links | |
|---|---|---|
| RODEONumber of layers=Three layers2022.02 | -108.51 | |
| DisARMNumber of layers=Three layers2022.02 | -108.6 | |
| Double CVNumber of layers=Three layers2022.02 | -108.66 | |
| RODEONumber of layers=Four layers2022.02 | -110.79 | |
| DisARMNumber of layers=Four layers2022.02 | -110.85 | |
| Double CVNumber of layers=Four layers2022.02 | -110.92 | |
| DisARMNumber of layers=Two layers2022.02 | -113.67 | |
| RODEONumber of layers=Two layers2022.02 | -113.84 | |
| Double CVNumber of layers=Two layers2022.02 | -114.06 |