Multi-Task Learning on Ridership
16.79Total Loss
Optimal
Updated 1mo ago
Evaluation Results
| Method | Links | |
|---|---|---|
2026.02 | 16.79 | |
2026.02 | 16.9 | |
2026.02 | 17.03 | |
2026.02 | 17.5 | |
2026.02 | 17.59 | |
2026.02 | 17.59 | |
2026.02 | 17.77 | |
2026.02 | 17.77 | |
2026.02 | 17.83 | |
2026.02 | 17.83 | |
2026.02 | 17.86 | |
2026.02 | 17.94 | |
2026.02 | 18.06 | |
2026.02 | 18.12 | |
2026.02 | 18.25 | |
2026.02 | 18.31 | |
2026.02 | 18.45 | |
2026.02 | 18.48 | |
2026.02 | 18.84 | |
2026.02 | 18.95 |