Multi-task Classification on CelebA (test)
88.41Averaged AccuracyDouble-Clip MGDA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Double-Clip MGDABackbone=ResNet-182026.05 | 88.41 | 89.55 | 94.63 | |
| MoCoBackbone=ResNet-182026.05 | 87.27 | 88.5 | 93.31 | |
| Double-loop MGDABackbone=ResNet-182026.05 | 86.61 | 87.97 | 93.28 | |
| SDMGradBackbone=ResNet-182026.05 | 85.89 | 87.06 | 92.45 | |
| MoDoBackbone=ResNet-182026.05 | 85.66 | 87.08 | 92.42 | |
| NashMTLBackbone=ResNet-182026.05 | 85.58 | 87 | 92.41 | |
| MGDABackbone=ResNet-182026.05 | 85.53 | 86.87 | 92.58 | |
| FAMOBackbone=ResNet-182026.05 | 85.32 | 86.03 | 91.41 |