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Benchmarks
Image Classification on CIFAR-10 (test) (Accuracy and Confidence)
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91.19
Accuracy
F-EDL
82.506
84.7605
87.015
89.2695
Oct 21, 2025
Accuracy
Confidence
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Confidence
F-EDL
Architecture=VGG-16, S...
2025.10
91.19
99.1
DAEDL
Architecture=VGG-16, S...
2025.10
91.11
99.08
R-EDL
Architecture=VGG-16, S...
2025.10
90.09
98.98
DUQ
Architecture=VGG-16, S...
2025.10
89.33
97.89
I-EDL
Architecture=VGG-16, S...
2025.10
89.2
98.72
PostNet
Architecture=VGG-16, S...
2025.10
84.85
97.76
EDL
Architecture=VGG-16, S...
2025.10
83.55
97.86
Dropout
Architecture=VGG-16, S...
2025.10
82.84
97.15
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