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Vision Data Selection on CIFAR-10 1k 10% label noise
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56.1
Accuracy (20% Selected Data)
GRASP
28.852
35.926
43
50.074
Jun 5, 2026
Accuracy (20% Selected Data)
Accuracy (40% Selected Data)
Accuracy (60% Selected Data)
Accuracy (80% Selected Data)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy (20% Selected Data)
Accuracy (40% Selected Data)
Accuracy (60% Selected Data)
Accuracy (80% Selected Data)
GRASP
Backbone=ResNet18, Pre...
2026.06
56.1
69.6
71.8
76.1
InRun-1
Backbone=ResNet18, Pre...
2026.06
55.6
68.9
71.9
75.5
InRun-2
Backbone=ResNet18, Pre...
2026.06
52.8
66.4
73.4
75.9
Random
Backbone=ResNet18, Pre...
2026.06
50.9
63.2
70
74.5
Datamodels
Backbone=ResNet18, Pre...
2026.06
47.6
64.1
71.4
74.1
Influence
Backbone=ResNet18, Pre...
2026.06
45.8
64.4
72.2
76.9
KNN-Shapley
Backbone=ResNet18, Pre...
2026.06
34.1
48.7
64.7
74.3
TRAK
Backbone=ResNet18, Pre...
2026.06
29.9
43.4
52.8
65
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