Multiple Instance Learning Classification on ELEPHANT
98.9AccuracyDSMIL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DSMIL2026.03 | 98.9 | — | |
| PSMIL2026.03 | 98.5 | — | |
| ASMIL2026.03 | 98.5 | — | |
| TransMIL2026.03 | 97.9 | — | |
| ABMIL2026.03 | 96.9 | — | |
| DEMIL2026.03 | 96.9 | — | |
| RGMIL2026.03 | 96.5 | — | |
| TG-RGMIL [0,1,2]DTopological features=0D, 1D, 2D2023.07 | 96.3 | — | |
| TG-RGMIL [0,1]DTopological features=0D, 1D2023.07 | 94.2 | — | |
| TG-RGMIL [0]DTopological features=0D2023.07 | 94.1 | — | |
| APMILwD (2025)Reference Year=20252023.07 | 93.4 | — | |
| GAPMILwD (2025)Reference Year=20252023.07 | 92.7 | — | |
| DSMIL (2021)Reference Year=20212023.07 | 92.5 | — | |
| Snuffy2024.08 | 92.3 | 0.967 | |
| RGMIL (2023)Reference Year=20232023.07 | 91.5 | — | |
| BDRMIL (2022)Reference Year=20222023.07 | 90.8 | — | |
| GNNMIL (2019)Reference Year=20192023.07 | 90.3 | — | |
| DistNet (2023)Reference Year=20232023.07 | 90 | — | |
| DPMIL (2018)Reference Year=20182023.07 | 89.4 | — | |
| MI-ANFIS2016.10 | 86.97 | — | |
| APMIL (2018)Reference Year=20182023.07 | 86.8 | — | |
| miGraph2016.10 | 86.8 | — | |
| GAPMIL (2018)Reference Year=20182023.07 | 85.7 | — | |
| MIGraph2016.10 | 85.1 | — | |
| ABMIL2024.08 | 84.9 | 0.84 | |
| MI-kernel2016.10 | 84.3 | — | |
| MIForest2016.10 | 84 | — | |
| ALP-SVM2016.10 | 83.5 | — | |
| Mean-pooling2024.08 | 83 | 0.92 | |
| PPPM-kernel2016.10 | 82.4 | — | |
| mi-SVM2016.10 | 82.2 | — | |
| MI-SVM2016.10 | 81.4 | — | |
| DSMIL2024.08 | 81.1 | 0.915 | |
| ABMIL-Gated2024.08 | 78.9 | 0.844 | |
| EM-DD2016.10 | 78.3 | — | |
| Max-pooling2024.08 | 76.4 | 0.861 | |
| ABMIL2026.06 | — | 0.941 | |
| Fact. (cont, MLP)2026.06 | — | 0.937 | |
| Fact. (cont, tree)2026.06 | — | 0.931 | |
| Fact. (disc, lookup)2026.06 | — | 0.925 | |
| Fact. (disc, MLP)2026.06 | — | 0.879 | |
| Fact. (disc, tree)2026.06 | — | 0.563 | |
| ICMIL2026.06 | — | 0.942 | |
| Joint2026.06 | — | 0.95 | |
| MeanLogReg2026.06 | — | 0.933 | |
| Mixed2026.06 | — | 0.945 | |
| SVM-Summ2026.06 | — | 0.925 | |
| TabPFN-Cluster2026.06 | — | 0.956 | |
| TabPFN-Concat2026.06 | — | 0.914 | |
| TabPFN-Subsample2026.06 | — | 0.92 |