Disentangled Representation Learning on dSprites
34.5MIGSlowVAE
Evaluation Results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| SlowVAEData variant=UNI, Statistical aggregation=median2020.07 | 34.5 | 89.7 | 81.4 | 50 | 87.1 | 5.1 | — | — | — | — | |
| SlowVAEData variant=LAP, Statistical aggregation=mean2020.07 | 29.5 | 100 | 97.5 | 65.4 | 96.5 | 8.1 | — | — | — | — | |
| SlowVAEData variant=LAP-NC, Statistical aggregation=median2020.07 | 29.1 | 100 | 97.4 | 62 | 97.4 | 8.2 | — | — | — | — | |
| SlowVAEData variant=UNI, Statistical aggregation=mean2020.07 | 28.3 | 87 | 75.2 | 47.7 | 86.9 | 4.4 | — | — | — | — | |
| SlowVAEData variant=LAP, Statistical aggregation=median2020.07 | 28.2 | 100 | 99.2 | 65.5 | 96.8 | 6 | — | — | — | — | |
| SlowVAEData variant=LAP-NC, Statistical aggregation=mean2020.07 | 27.6 | 99.8 | 95.2 | 61.5 | 96.8 | 8.4 | — | — | — | — | |
| Ada-GVAEData variant=LOC, Statistical aggregation=median2020.07 | 26.6 | 92.3 | 84.7 | 47.9 | 91.3 | 7.4 | — | — | — | — | |
| Ada-ML-VAEData variant=LOC, Statistical aggregation=median2020.07 | 11.5 | 89.6 | 70.1 | 29.4 | 89.7 | 3.6 | — | — | — | — | |
| β-VAEData variant=i.i.d., Statistical aggregation=median2020.07 | 10.2 | 82.3 | 66 | 18.6 | 82.2 | 4.9 | — | — | — | — | |
| β-VAEβ=42025.05 | 0.118 | — | — | 0.305 | 0.001 | 0.222 | — | 5.024 | — | — | |
| DIP-VAE-II2025.05 | 0.022 | — | — | 0.171 | 0.041 | 0.088 | — | 7.881 | — | — | |
| FactorVAEγ=102025.05 | 0.015 | — | — | 0.104 | 0.032 | 0.071 | — | 7.688 | — | — | |
| β-TC-VAE2025.05 | 0.008 | — | — | 0.09 | 0.09 | 0.026 | — | 8.234 | — | — | |
| Standard VAE2025.05 | 0.005 | — | — | 0.1 | 0.132 | 0.018 | — | 8.231 | — | — | |
| VQ-VAE2025.05 | 0.003 | — | — | 0.075 | 0.009 | 0.005 | — | 0.166 | — | — | |
| CFASL2026.05 | — | — | — | — | — | — | — | — | 23.37 | 0.8 | |
| CLG-VAE2026.05 | — | — | — | — | — | — | — | — | 18.95 | 0.86 | |
| CorrVAE2022.10 | — | — | — | — | — | — | 0.0404 | — | — | — | |
| CSVAE2022.10 | — | — | — | — | — | — | 0.1578 | — | — | — | |
| LG-VAE2026.05 | — | — | — | — | — | — | — | — | 61.88 | 0.61 | |
| OursTraining Phase=Phase 1 only, Training Duration (Epochs)=P1 epochs2026.05 | — | — | — | — | — | — | — | — | 24.64 | 0.83 | |
| OursTraining Phase=Phase 1 only, Training Duration (Epochs)=P1+P2 epochs2026.05 | — | — | — | — | — | — | — | — | 13.38 | 0.83 | |
| OursTraining Phase=Phase 1 + Phase 2, Training Duration (Epochs)=P1+P2 epochs2026.05 | — | — | — | — | — | — | — | — | 13.96 | 0.89 | |
| PCVAE2022.10 | — | — | — | — | — | — | 0.0119 | — | — | — | |
| Semi-VAE2022.10 | — | — | — | — | — | — | 0.0118 | — | — | — | |
| β-VAE2026.05 | — | — | — | — | — | — | — | — | 18.57 | 0.6 |