SVHN
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
SVHN ratio 0.02
49.8Accuracy
4
SVHN ratio 0.01
45.7Accuracy
4
SVHN ratio 0.005
42.8Accuracy (%)
4
SVHN 6 random classes ID vs 4 random classes OOD (test)
0.94AUROC
4
SVHN SSCL New Class 1
83.3Task 1 Accuracy
4
SVHN (OOD)
0.56AUROC
4
SVHN (test)
79.25F1 Score
4
SVHN 500 labels (train)
3.84Error Rate
4
SVHN 250 labels (train)
4.19Error Rate
4
SVHN
100Mean TNR@TPR95 (Gaussian)
4
SVHN (ε = 0.03, c = 0.1) (test)
94.36Accuracy (Baseline)
4
Reduced SVHN (test)
5.92Test Error Rate (%)
4
SVHN (test)
0.1FPR95
4
SVHN (full)
97.48Accuracy
4
SVHN
64Non-source Validity Count
3
SVHN
0.78Belief MoRF
3
SVHN
738Mean Failure Count
3
SVHN (train)
0.979Final Training Loss Gradient Magnitude
3
SVHN Digit
5.26ECE (KDE)
3
SVHN
2.94Best FID
3
SVHN (D_t) (test)
95.07Micro F1-score
3
SVHN retained set (D_r)
97.58Micro F1-score
3
SVHN unlearned set (D_u)
94.33Micro F1-score
3
SVHN
85.3Clustering Accuracy (Two Tasks)
3
SVHN
0.37Proof Generation Time (s)
3