Explanation Sparsity on CUB
0.93Gini IndexMOXI
Evaluation results
| Method | Links | |
|---|---|---|
| MOXIModel=DenseNet2026.04 | 0.93 | |
| H-SetsModel=VGG2026.04 | 0.93 | |
| ArchipelagoModel=VGG2026.04 | 0.92 | |
| H-SetsModel=ResNet2026.04 | 0.92 | |
| MOXIModel=VGG2026.04 | 0.91 | |
| H-SetsModel=DenseNet2026.04 | 0.91 | |
| ArchipelagoModel=ResNet2026.04 | 0.89 | |
| ArchipelagoModel=DenseNet2026.04 | 0.89 | |
| ArchipelagoModel=MobileNet2026.04 | 0.89 | |
| H-SetsModel=MobileNet2026.04 | 0.89 | |
| MOXIModel=ResNet2026.04 | 0.87 | |
| MOXIModel=MobileNet2026.04 | 0.81 | |
| Integrated GradientsModel=VGG2026.04 | 0.67 | |
| CAFOModel=VGG2026.04 | 0.64 | |
| Integrated GradientsModel=ResNet2026.04 | 0.59 | |
| Integrated GradientsModel=MobileNet2026.04 | 0.58 | |
| Integrated GradientsModel=DenseNet2026.04 | 0.57 | |
| CASOModel=ResNet2026.04 | 0.56 | |
| CAFOModel=ResNet2026.04 | 0.55 | |
| CAFOModel=DenseNet2026.04 | 0.52 | |
| CASOModel=MobileNet2026.04 | 0.52 | |
| CASOModel=VGG2026.04 | 0.49 | |
| CAFOModel=MobileNet2026.04 | 0.48 | |
| CASOModel=DenseNet2026.04 | 0.48 |