Multiple Instance Learning classification on Tiger (AUROC)
89.6AUROCTabPFN-Concat
Evaluation results
| Method | Links | |
|---|---|---|
| TabPFN-Concat2026.06 | 89.6 | |
| TabPFN-Subsample2026.06 | 89.6 | |
| Joint2026.06 | 89.2 | |
| Fact. (cont, MLP)2026.06 | 88.9 | |
| ICMIL2026.06 | 88.9 | |
| SVM-Summ2026.06 | 88.5 | |
| Mixed2026.06 | 88.2 | |
| Fact. (cont, tree)2026.06 | 87.3 | |
| TabPFN-Cluster2026.06 | 86.5 | |
| MeanLogReg2026.06 | 86.3 | |
| Fact. (disc, lookup)2026.06 | 84.9 | |
| ABMIL2026.06 | 83.9 | |
| Fact. (disc, MLP)2026.06 | 83.9 | |
| Fact. (disc, tree)2026.06 | 67.3 |