Multi-Task Learning on ETTm1
3.82Total LossOptimal
Evaluation results
| Method | Links | |
|---|---|---|
| Optimal#Groups=4, |Gtrain|=102026.02 | 3.82 | |
| Optimal#Groups=3, |Gtrain|=102026.02 | 3.83 | |
| ETAP#Groups=4, |Gtrain|=102026.02 | 3.89 | |
| ETAPTask-group splits=42026.02 | 3.89 | |
| TAG#Groups=4, |Gtrain|=102026.02 | 3.9 | |
| MTGNet#Groups=4, |Gtrain|=102026.02 | 3.92 | |
| ETAP#Groups=3, |Gtrain|=102026.02 | 3.93 | |
| ETAPTask-group splits=32026.02 | 3.93 | |
| TAG#Groups=3, |Gtrain|=102026.02 | 3.96 | |
| MTGNet#Groups=3, |Gtrain|=102026.02 | 3.96 | |
| Optimal#Groups=2, |Gtrain|=102026.02 | 3.98 | |
| GRAD-TAE#Groups=4, |Gtrain|=102026.02 | 4.01 | |
| ETAP#Groups=2, |Gtrain|=102026.02 | 4.02 | |
| ETAPTask-group splits=22026.02 | 4.02 | |
| MTGNet#Groups=2, |Gtrain|=102026.02 | 4.04 | |
| GRAD-TAE#Groups=3, |Gtrain|=102026.02 | 4.04 | |
| TAG#Groups=2, |Gtrain|=102026.02 | 4.08 | |
| GRAD-TAE#Groups=2, |Gtrain|=102026.02 | 4.08 | |
| PCGrad2026.02 | 4.19 | |
| Naive MTL2026.02 | 4.2 |