Multi-Task Learning on UTKFace (test)
0.135Age MAEBayesAgg-MTL
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BayesAgg-MTL2024.02 | 0.135 | 93.01 | 84.25 | 2.23 | |
| MGDA2024.02 | 0.138 | 93.29 | 83.51 | -1.39 | |
| STLLearning Mode=Single Task Learning2024.02 | 0.14 | 92.32 | 82.42 | — | |
| CAGrad2024.02 | 0.14 | 93.06 | 83.28 | -0.58 | |
| IMTL-G2024.02 | 0.141 | 93.1 | 83.78 | -0.5 | |
| SI2024.02 | 0.142 | 93.05 | 83.4 | 0.11 | |
| Nash-MTL2024.02 | 0.142 | 92.89 | 83.19 | -0.17 | |
| IGBv22024.02 | 0.142 | 93.09 | 83.34 | -0.21 | |
| UW2024.02 | 0.143 | 92.99 | 83.09 | 0.15 | |
| RLW2024.02 | 0.144 | 92.89 | 83.7 | -0.31 | |
| DWA2024.02 | 0.144 | 92.9 | 83.55 | 0.35 | |
| Aligned-MTL-UB2024.02 | 0.145 | 93 | 83.36 | 0.66 | |
| LS2024.02 | 0.146 | 92.92 | 83.98 | 0.69 | |
| PCGrad2024.02 | 0.147 | 92.92 | 83.28 | 1.13 |