Multi-Task Learning on Chemical
4.52Total LossOptimal
Evaluation results
| Method | Links | |
|---|---|---|
| Optimal#Groups=3, |Gtrain|=102026.02 | 4.52 | |
| Optimal#Groups=2, |Gtrain|=102026.02 | 4.56 | |
| ETAP#Groups=2, |Gtrain|=102026.02 | 4.67 | |
| Optimal#Groups=4, |Gtrain|=102026.02 | 4.67 | |
| ETAPTask-group splits=22026.02 | 4.67 | |
| TAG#Groups=2, |Gtrain|=102026.02 | 4.69 | |
| ETAP#Groups=3, |Gtrain|=102026.02 | 4.74 | |
| ETAPTask-group splits=32026.02 | 4.74 | |
| MTGNet#Groups=2, |Gtrain|=102026.02 | 4.79 | |
| GRAD-TAE#Groups=2, |Gtrain|=102026.02 | 4.8 | |
| TAG#Groups=3, |Gtrain|=102026.02 | 4.8 | |
| GRAD-TAE#Groups=3, |Gtrain|=102026.02 | 4.83 | |
| ETAP#Groups=4, |Gtrain|=102026.02 | 4.83 | |
| Naive MTL2026.02 | 4.83 | |
| ETAPTask-group splits=42026.02 | 4.83 | |
| MTGNet#Groups=3, |Gtrain|=102026.02 | 4.89 | |
| MTGNet#Groups=4, |Gtrain|=102026.02 | 4.94 | |
| TAG#Groups=4, |Gtrain|=102026.02 | 4.95 | |
| GRAD-TAE#Groups=4, |Gtrain|=102026.02 | 4.96 | |
| PCGrad2026.02 | 6.2 |