Representation Learning on MNIST
185.42Scaling Equivariance ErrorLatentFlow
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LatentFlowSupervision=Yes2024.10 | 185.42 | 153.54 | 158.57 | -2,112.45 | — | — | — | — | — | — | — | |
| LatentFlowSupervision=Weak2024.10 | 193.84 | 157.16 | 165.19 | -2,119.94 | — | — | — | — | — | — | — | |
| PoFlowSupervision=Yes2024.10 | 234.78 | 231.42 | 240.57 | -2,145.03 | — | — | — | — | — | — | — | |
| STASupervision=No2024.10 | 281.32 | 230.93 | 292.85 | -2,107.65 | — | — | — | — | — | — | — | |
| SlowVAESupervision=Weak2024.10 | 461.59 | 447.46 | 398.12 | -2,197.68 | — | — | — | — | — | — | — | |
| TVAESupervision=Yes2024.10 | 505.19 | 493.28 | 451.25 | -2,181.13 | — | — | — | — | — | — | — | |
| FactorVAESupervision=No2024.10 | 659.71 | 632.44 | 662.18 | -2,209.33 | — | — | — | — | — | — | — | |
| β-VAESupervision=No2024.10 | 741.58 | 751.32 | 808.16 | -2,224.67 | — | — | — | — | — | — | — | |
| VAESupervision=No2024.10 | 1,275.31 | 1,310.72 | 1,368.92 | -2,206.17 | — | — | — | — | — | — | — | |
| GeomAELatent space dimensionality=16D2026.03 | — | — | — | — | 15 | 79 | 78 | 0.01 | 93 | 93 | 90.1 | |
| GGAELatent space dimensionality=16D2026.03 | — | — | — | — | 56 | 80 | 70 | 0.01 | 87 | 92 | 43.02 | |
| MMAELatent space dimensionality=16D2026.03 | — | — | — | — | 15 | 99 | 89 | 0.001 | 96 | 98 | 71.01 | |
| RTD-AELatent space dimensionality=16D2026.03 | — | — | — | — | 14 | 97 | 87 | 0.001 | 97 | 98 | 56.69 | |
| SPAELatent space dimensionality=16D2026.03 | — | — | — | — | 39 | 97 | 87 | 0.001 | 96 | 97 | 53.87 | |
| TopoAELatent space dimensionality=16D2026.03 | — | — | — | — | 17 | 90 | 85 | 0.005 | 96 | 97 | 68.19 | |
| Vanilla AELatent space dimensionality=16D2026.03 | — | — | — | — | 15 | 95 | 82 | 0.002 | 93 | 95 | 85.65 |