Feature Attribution on SST2
-0.199LOGrad*Inp
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Grad*InpBackbone=RoBERTa2023.05 | -0.199 | 7.6 | 42.6 | |
| DeepLiftBackbone=BERT2023.05 | -0.244 | 8.98 | 43.8 | |
| DeepLiftBackbone=RoBERTa2023.05 | -0.261 | 9.32 | 40.8 | |
| Grad*InpBackbone=BERT2023.05 | -0.263 | 9.23 | 43.9 | |
| Grad*InpBackbone=DistilBERT2023.05 | -0.412 | 11.2 | 37.5 | |
| GradientShapBackbone=BERT2023.05 | -0.622 | 21.9 | 38.8 | |
| DeepLiftBackbone=DistilBERT2023.05 | -0.624 | 17 | 27.1 | |
| DIGBackbone=BERT2023.05 | -0.777 | 28.7 | 34.5 | |
| DIGBackbone=RoBERTa2023.05 | -0.824 | 26.3 | 27.8 | |
| GradientShapBackbone=RoBERTa2023.05 | -0.896 | 26.1 | 31.4 | |
| IGBackbone=BERT2023.05 | -0.981 | 34.5 | 35.2 | |
| SIGBackbone=BERT2023.05 | -1.19 | 39.2 | 31.2 | |
| GradientShapBackbone=DistilBERT2023.05 | -1.32 | 30.3 | 25.8 | |
| IGBackbone=RoBERTa2023.05 | -1.44 | 40.5 | 22.6 | |
| SIGBackbone=RoBERTa2023.05 | -1.62 | 44 | 21.6 | |
| DIGBackbone=DistilBERT2023.05 | -1.69 | 38.4 | 16.7 | |
| IGBackbone=DistilBERT2023.05 | -1.96 | 44.5 | 15.1 | |
| SIGBackbone=DistilBERT2023.05 | -2.02 | 47.3 | 9.92 |