Regression on MSD-B (test)
-0.65MRAE (Symmetric, 20%)Co-ConFrag
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Co-ConFragdual_networks=true2025.02 | -0.65 | 2.98 | 8.66 | 20.53 | 1.73 | 6 | |
| Co-Selfiedual_networks=true2025.02 | -0.38 | 4.41 | 8.32 | 35.47 | 6.78 | 13.15 | |
| Superloss2025.02 | -0.15 | 10.68 | 23.15 | 45.55 | 4.35 | 16.36 | |
| CNLCU-Sdual_networks=true2025.02 | 0.13 | 6.04 | 21.52 | 46.01 | 4.75 | 12.51 | |
| CNLCU-Hdual_networks=true2025.02 | 0.27 | 4.98 | 10.32 | 29.83 | 5.11 | 9.22 | |
| ConFrag2025.02 | 0.57 | 4.94 | 11.22 | 23.41 | 2.39 | 6.49 | |
| Sigua2025.02 | 1.29 | 7.19 | 17.35 | 50.87 | 6.8 | 12.38 | |
| Selfie2025.02 | 1.43 | 8.4 | 20.24 | 45.87 | 14.37 | 24.13 | |
| BMM2025.02 | 3.32 | 10.3 | 23.4 | 43.56 | 5.29 | 11.85 | |
| DY-S2025.02 | 3.39 | 8.06 | 18.65 | 35.24 | 4.77 | 9.83 | |
| C-Mixup2025.02 | 3.75 | 13.13 | 26.73 | 40.9 | 2.96 | 10.97 | |
| AUX2025.02 | 6.12 | 18.18 | 31.09 | 45.7 | 5.21 | 15.45 | |
| SPR2025.02 | 7.07 | 18.19 | 33.39 | 45.61 | 5.01 | 15.36 | |
| D2L2025.02 | 7.13 | 19.96 | 32.47 | 46.64 | 5.51 | 15.54 | |
| CDR2025.02 | 7.83 | 17.86 | 32.83 | 45.91 | 6.73 | 16.92 | |
| Vanilla2025.02 | 8.23 | 18.43 | 31.67 | 45.85 | 6.96 | 15.74 | |
| RDI2025.02 | 21.04 | 30.09 | 38.78 | 49.49 | 19.19 | 27.88 |