Interpretability Techniques For Deep Learning 1
Metriken
Insertion AUC score
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Insertion AUC score |
|---|---|
| axiomatic-attribution-for-deep-networks | 0.3578 |
| why-should-i-trust-you-explaining-the | 0.5246 |
| grad-cam-visual-explanations-from-deep | 0.3721 |
| making-sense-of-dependence-efficient-black | 0.5692 |
| a-unified-approach-to-interpreting-model | 0.5246 |
| rise-randomized-input-sampling-for | 0.5703 |
| deep-inside-convolutional-networks | 0.4632 |