Semi-Supervised Learning on SVHN 1000 labels (test)
5.49Test ErrorS4L + ForkMerge+
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| S4L + ForkMerge+baseline=S4L, ATL approach=ForkMerge+2023.01 | 5.49 | 46.3 | |
| VAT2023.01 | 5.63 | 43.8 | |
| Mean Teacher2023.01 | 5.65 | 38.8 | |
| S4L + ARMLbaseline=S4L, ATL approach=ARML2023.01 | 5.89 | 43.2 | |
| S4L + Grid Searchbaseline=S4L, ATL approach=Grid Search2023.01 | 6.07 | 42.3 | |
| S4L + Auto-λbaseline=S4L, ATL approach=Auto-λ2023.01 | 6.14 | 41 | |
| S4L + GCSbaseline=S4L, ATL approach=GCS2023.01 | 7.02 | 35.6 | |
| Π-Model2023.01 | 7.19 | 31.5 | |
| Pseudo-Label2023.01 | 7.62 | 26.4 | |
| S4L + GradNormbaseline=S4L, ATL approach=GradNorm2023.01 | 7.68 | 35.3 | |
| S4L + OL_AUXbaseline=S4L, ATL approach=OL_AUX2023.01 | 7.82 | 29.8 | |
| S4L + EWbaseline=S4L, ATL approach=EW2023.01 | 7.83 | 30.7 | |
| S4L + Post-trainbaseline=S4L, ATL approach=Post-train2023.01 | 7.85 | 30.4 | |
| STL2023.01 | 12.8 | — |