Attention-based attribution sensitivity on CIFAR10 32x32
0.99AttRaw ScoreAnte-hoc Act. Reg. (AAR)
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Ante-hoc Act. Reg. (AAR)Backbone=ViT-Tiny, Attention Mechanism=Softmax Attn.2026.05 | 0.99 | 60 | 69 | 79 | 1.06 | 4.1588 | |
| Adv. Trainig Reg. (ATR)Backbone=ViT-Tiny, Attention Mechanism=Softmax Attn.2026.05 | 0.96 | 62 | 54 | 78 | 0.91 | 4.1588 | |
| No Regularization (Base)Backbone=ViT-Tiny, Attention Mechanism=Softmax Attn.2026.05 | 0.91 | 59 | 70 | 80 | 1.01 | 4.1588 | |
| Post-hoc Act. Reg. (PAR)Backbone=ViT-Tiny, Attention Mechanism=Softmax Attn.2026.05 | 0.86 | 53 | 70 | 78 | 1.08 | 4.1588 | |
| No Regularization (Base)Backbone=ViT-Tiny, Attention Mechanism=Unnorm. Kern.2026.05 | 0.52 | 29 | 85 | 36 | 1.14 | 4.12 | |
| Explicit Curv. Reg. (ECR)Backbone=ViT-Tiny, Attention Mechanism=Unnorm. Kern.2026.05 | 0.27 | 20 | 43 | 31 | 1.07 | 3.55 | |
| Adv. Trainig Reg. (ATR)Backbone=ViT-Tiny, Attention Mechanism=Unnorm. Kern.2026.05 | 0.27 | 23 | 87 | 30 | 1.05 | 4.14 | |
| Implicit Curv. Reg. (ICR†)Backbone=ViT-Tiny, Attention Mechanism=Unnorm. Kern.2026.05 | 0.25 | 18 | 74 | 26 | 1.22 | 3.91 | |
| Sharp. Aware Min. (SAM)Backbone=ViT-Tiny, Attention Mechanism=Unnorm. Kern.2026.05 | 0.17 | 25 | 74 | 15 | 1.21 | 4.09 | |
| Explicit Curv. Reg. (ECR)Backbone=ViT-Tiny, Attention Mechanism=Softmax Attn.2026.05 | 0.01 | 44 | 73 | 79 | 0.99 | 4.1588 | |
| Sharp. Aware Min. (SAM)Backbone=ViT-Tiny, Attention Mechanism=Softmax Attn.2026.05 | 0 | 32 | 75 | 79 | 0.89 | 4.1588 | |
| Implicit Curv. Reg. (ICR†)Backbone=ViT-Tiny, Attention Mechanism=Softmax Attn.2026.05 | 0 | 34 | 77 | 80 | 0.85 | 4.1588 |