Multi-Task Learning on CelebA
48.38Total LossOptimal
Evaluation results
| Method | Links | |
|---|---|---|
| Optimal#Groups=4, |Gtrain|=102026.02 | 48.38 | |
| Optimal#Groups=3, |Gtrain|=102026.02 | 48.63 | |
| Optimal#Groups=2, |Gtrain|=102026.02 | 49.27 | |
| ETAP#Groups=4, |Gtrain|=102026.02 | 49.41 | |
| ETAPTask-group splits=42026.02 | 49.41 | |
| ETAP#Groups=3, |Gtrain|=102026.02 | 49.61 | |
| ETAPTask-group splits=32026.02 | 49.61 | |
| TAG#Groups=2, |Gtrain|=102026.02 | 49.67 | |
| ETAP#Groups=2, |Gtrain|=102026.02 | 49.92 | |
| ETAPTask-group splits=22026.02 | 49.92 | |
| TAG#Groups=4, |Gtrain|=102026.02 | 49.94 | |
| PCGrad2026.02 | 49.99 | |
| Naive MTL2026.02 | 50.02 | |
| TAG#Groups=3, |Gtrain|=102026.02 | 50.22 | |
| MTGNet#Groups=4, |Gtrain|=102026.02 | 50.27 | |
| MTGNet#Groups=3, |Gtrain|=102026.02 | 50.31 | |
| MTGNet#Groups=2, |Gtrain|=102026.02 | 50.62 | |
| GRAD-TAE#Groups=2, |Gtrain|=102026.02 | 50.78 | |
| GRAD-TAE#Groups=3, |Gtrain|=102026.02 | 50.78 | |
| GRAD-TAE#Groups=4, |Gtrain|=102026.02 | 52.83 |