Representation Learning on MNIST non-uniform
91.4k-NN AccuracyGRAE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| GRAE2026.04 | 91.4 | 0.106 | 0.0484 | 0.0052 | 0.0031 | |
| DN2026.04 | 88.1 | 0.0719 | 0.041 | 0.0042 | 0.0055 | |
| TAE2026.04 | 87.7 | 0.0335 | 0.0223 | 0.0013 | 0.0056 | |
| BLAE2026.04 | 86.5 | 0.0289 | 0.0166 | 0.0012 | 0.0039 | |
| SPAE2026.04 | 82.2 | 0.0559 | 0.0611 | 0.0054 | 0.0078 | |
| CAE2026.04 | 75.8 | 0.148 | 0.112 | 0.0046 | 0.0085 | |
| Vanilla AE2026.04 | 74.9 | 0.276 | 0.148 | 0.0077 | 0.0097 | |
| IRAE2026.04 | 73.6 | 0.0725 | 0.0793 | 0.0052 | 0.0088 | |
| GGAE2026.04 | 71.5 | 0.263 | 0.152 | 0.0089 | 0.0098 | |
| GAE2026.04 | 68.2 | 0.148 | 0.0922 | 0.0041 | 0.0145 |