Controllable Pareto Front Learning on Multi-Fashion (10-fold CV)
2.337HypervolumeHyper-MLP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Hyper-MLPConstraint=Box2026.05 | 2.337 | 42.9 | 1.002 | |
| Hyper-MLPConstraint=Sphere2026.05 | 2.337 | 42.9 | 1.002 | |
| ABP-HyperMLPConstraint=Sphere2026.05 | 2.322 | 100 | 2.322 | |
| ABP-HyperMLPConstraint=Box2026.05 | 2.316 | 94.9 | 2.191 | |
| HyperTransConstraint=Box2026.05 | 2.201 | 36.6 | 0.805 | |
| HyperTransConstraint=Sphere2026.05 | 2.201 | 36.6 | 0.805 | |
| ABP-HyperTransConstraint=Box2026.05 | 2.196 | 90.3 | 1.984 | |
| ABP-HyperTransConstraint=Sphere2026.05 | 2.195 | 89.1 | 1.957 |