General Classification On Mnist
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| CAE | 90.6 | Concrete Autoencoders for Differentiable Feature Selection and Reconstruction |
0 of 1 row(s) selected.