Lacuna
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Face Recognition | Lacuna-10 forget split | Af Score1 | 40 | |
| Face Recognition | Lacuna-10 (retention) | Ar (Retention Accuracy)100 | 40 | |
| Face Recognition | Lacuna-10 (test) | Accuracy (Test Set)94.34 | 40 | |
| Selective Unlearning | Lacuna-10 (test) | Test Error (mean)1.4 | 36 | |
| Resolving Confusion | Lacuna-5 (test) | Test Error3.87 | 27 | |
| Class Unlearning | Lacuna 10 (test) | Test Error (Mean)1.48 | 27 | |
| Class Unlearning | Lacuna-10 | Test Error1.67 | 27 | |
| Machine Unlearning | Lacuna-10 (test train forget) | Test Error1.05 | 10 | |
| Removing Biases (RB) | Lacuna-5 | Test Error5 | 10 | |
| Machine Unlearning | Lacuna 1.0 (train test) | Test Error2.13 | 7 | |
| Resolving Confusion | Lacuna-10 (test) | Test Error2.1 | 7 | |
| Machine Unlearning | Lacuna-10-KR (test) | Df100 | 5 | |
| Machine Unlearning | Lacuna-10 (test) | Df100 | 5 | |
| Machine Unlearning | Lacuna-100-KR (test) | Df (Differential Forgetting)95.48 | 5 | |
| Machine Unlearning | Lacuna-100 (test) | Df94.58 | 5 | |
| Machine Unlearning | Lacuna-5 (test) | KL Divergence0.044 | 4 | |
| Machine Unlearning | Lacuna-5 (forget set) | KL Divergence1.35 | 4 | |
| Machine Unlearning | Lacuna-10 (forget set) | KL Divergence5.76 | 2 |
Showing 18 of 18 rows