Influential Training Sample Identification on Magic Cards
100Top-5 AccuracyDMin
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| DMinModel=SD 3 Medium (LoRA), Variant=w/o Comp.2024.12 | 100 | 100 | 100 | 97 | |
| DMinModel=SD 3 Medium (Full), v=2^16, Computation=Excatly2024.12 | 99.61 | 99.02 | 95.14 | 92.2 | |
| DMinModel=SD 3 Medium (Full), v=2^16, Search=KNN2024.12 | 99.6 | 99.6 | 96.4 | 93.08 | |
| DMinModel=SD 3 Medium (Full), v=2^20, Computation=Excatly2024.12 | 99.22 | 99.22 | 94.98 | 92.02 | |
| DMinModel=SD 3 Medium (Full), v=2^12, Computation=Excatly2024.12 | 98.82 | 98.82 | 94.2 | 90.63 | |
| DMinModel=SD 3 Medium (Full), v=2^12, Search=KNN2024.12 | 98.8 | 98.2 | 94.72 | 90.46 | |
| DMinModel=SD 3 Medium (LoRA), v=2^16, Search=KNN2024.12 | 98.64 | 98.62 | 97.85 | 97.36 | |
| DMinModel=SD 3 Medium (LoRA), v=2^12, Search=KNN2024.12 | 98.54 | 98.51 | 97.71 | 97.17 | |
| DMinModel=SD 3 Medium (LoRA), v=2^16, Computation=Excatly2024.12 | 98.48 | 98.4 | 97.61 | 97.18 | |
| DMinModel=SD 3 Medium (LoRA), v=2^20, Computation=Excatly2024.12 | 98.48 | 98.4 | 97.62 | 97.2 | |
| DMinModel=SD 3 Medium (LoRA), v=2^12, Computation=Excatly2024.12 | 98.37 | 98.35 | 97.51 | 97.03 | |
| DMinModel=SD 1.4 (LoRA), Variant=w/o Comp.2024.12 | 97.78 | 97.78 | 99.11 | 99.33 | |
| DMinModel=SD 1.4 (LoRA), v=2^12, Computation=Excatly2024.12 | 97.78 | 98.89 | 99.33 | 99.44 | |
| DMinModel=SD 1.4 (LoRA), v=2^16, Computation=Excatly2024.12 | 97.78 | 97.78 | 99.11 | 99.33 | |
| DMinModel=SD 1.4 (LoRA), v=2^20, Computation=Excatly2024.12 | 97.78 | 97.78 | 99.11 | 99.33 | |
| DMinModel=SD 1.4 (LoRA), v=2^12, Search=KNN2024.12 | 97.78 | 98.89 | 99.33 | 99.44 | |
| DMinModel=SD 1.4 (LoRA), v=2^16, Search=KNN2024.12 | 97.78 | 98.89 | 98.89 | 99.44 | |
| LiSSAModel=SD 1.4 (LoRA)2024.12 | 96.67 | 95 | 96 | 94.83 | |
| DataInfModel=SD 1.4 (LoRA), Variant=Identity2024.12 | 96.67 | 95 | 96 | 94.83 | |
| DataInfModel=SD 1.4 (LoRA), Variant=Hessian Inversion2024.12 | 96.67 | 95 | 96 | 94.83 | |
| DMinModel=SD 1.4 (LoRA), Variant=w/o Comp. & Norm.2024.12 | 96.37 | 95.85 | 94.02 | 92.8 | |
| LiSSAModel=SD 3 Medium (LoRA)2024.12 | 90.91 | 90.91 | 90.91 | 90.82 | |
| DataInfModel=SD 3 Medium (LoRA), Variant=Identity2024.12 | 88.33 | 89.17 | 89 | 88.83 | |
| DataInfModel=SD 3 Medium (LoRA), Variant=Hessian Inversion2024.12 | 88.33 | 89.17 | 89 | 88.83 | |
| DMinModel=SD 3 Medium (LoRA), Variant=w/o Comp. & Norm.2024.12 | 79.35 | 79.51 | 79.65 | 79.86 | |
| CLIP SimilarityModel=SD 1.4 (LoRA)2024.12 | 44.44 | 40.05 | 35.65 | 38.3 | |
| CLIP SimilarityModel=SD 3 Medium (Full)2024.12 | 29.38 | 34.12 | 45.83 | 49.82 | |
| SSIMModel=SD 1.4 (LoRA)2024.12 | 28 | 35 | 44.8 | 42.9 | |
| Random SelectionModel=SD 1.4 (LoRA)2024.12 | 20 | 20 | 8 | 13 | |
| Random SelectionModel=SD 3 Medium (LoRA)2024.12 | 20 | 20 | 8 | 13 | |
| Random SelectionModel=SD 3 Medium (Full)2024.12 | 20 | 20 | 8 | 13 | |
| CLIP SimilarityModel=SD 3 Medium (LoRA)2024.12 | 3.52 | 3.63 | 4.21 | 4.38 | |
| SSIMModel=SD 3 Medium (LoRA)2024.12 | 0 | 0.67 | 1.8 | 3.47 | |
| SSIMModel=SD 3 Medium (Full)2024.12 | 0 | 0 | 0.2 | 1.6 |