| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Coarse-grained Unlearning | Imagenette | Atar100 | 70 | |
| Machine Unlearning | ImageNette gas pump Class 7 (test) | Forget Accuracy100 | 48 | |
| Image Classification | ImageNette (test) | Accuracy89.5 | 45 | |
| Class-wise forgetting | Imagenette (val) | FID0.78 | 44 | |
| Backdoor Certification | ImageNette (test) | AER74 | 36 | |
| Image Reconstruction | ImageNette | SSIM0.997 | 27 | |
| Image Classification | ImageNette (val) | Accuracy0.768 | 24 | |
| Class-wise Forgetting | Imagenette Stable Diffusion v1.4 (val) | FID0.67 | 22 | |
| Image Classification | ImageNette standard evaluation | Top-1 Accuracy92.6 | 19 | |
| Backdoor Defense | ImageNette | AER0.67 | 18 | |
| Machine Unlearning | Imagenette | Accuracy (garbage truck)76.7 | 18 | |
| Image Classification | Imagenette 256 x 256 10 classes (test) | Classification Accuracy90.67 | 17 | |
| Image Classification | ImageNette 128x128 (test) | Top-1 Acc87.4 | 16 | |
| Image Classification | ImageNette 128x128 | Top-1 Acc87.9 | 13 | |
| Image Classification | ImageNette 1.0 (test) | Accuracy (alpha=0.1)90 | 12 | |
| Object Unlearning | Imagenette (test) | Garbage Truck Accuracy89.1 | 10 | |
| Concept Unlearning | Imagenette | Accuracy (garbage truck)89.1 | 10 | |
| Poisoning Defense in U-shape Split Learning | ImageNette | Accuracy64 | 10 | |
| Object Recognition | ImageNette (test) | MiniGPT-4 Score97.71 | 10 | |
| Neural Field Reconstruction | ImageNette | PSNR (Step 1)25.18 | 9 | |
| Image Classification | Imagenette | AUROC76.9 | 9 | |
| Image Reconstruction | Imagenette 178 x 178 | PSNR48.44 | 9 | |
| Image Classification | ImageNette 128x128 (val) | Accuracy87.4 | 9 | |
| Concept Reawakening | ImageNette Tench | CLIP Score34.01 | 7 | |
| Concept Reawakening | ImageNette Parachute | CLIP Score33.16 | 7 |