Representation Learning on MNIST Uniform (test)
90.3k-NN AccuracyBLAE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| BLAE2026.04 | 90.3 | 0.0479 | 0.0401 | 0.0122 | 0.0029 | |
| GRAE2026.04 | 87 | 0.111 | 0.0687 | 0.0141 | 0.0035 | |
| DN2026.04 | 86.4 | 0.133 | 0.0915 | 0.0149 | 0.0034 | |
| SPAE2026.04 | 85.9 | 0.075 | 0.0635 | 0.0158 | 0.0069 | |
| TAE2026.04 | 82.9 | 0.0517 | 0.0669 | 0.0164 | 0.0049 | |
| GGAE2026.04 | 81.1 | 0.495 | 0.195 | 0.0196 | 0.0043 | |
| IRAE2026.04 | 78.2 | 0.104 | 0.0941 | 0.0165 | 0.0062 | |
| CAE2026.04 | 76.9 | 0.258 | 0.162 | 0.0193 | 0.0055 | |
| Vanilla AE2026.04 | 76.9 | 0.427 | 0.176 | 0.0185 | 0.0066 | |
| GAE2026.04 | 70.3 | 0.131 | 0.131 | 0.0196 | 0.0066 |