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Benchmarks
Image Classification on CIFAR-100 (Accuracy, Std.)
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95.5
Accuracy
Adaptive DBN (TS)
60.036
69.243
78.45
87.657
Nov 4, 2025
Accuracy
Std. Dev.
Updated 26d ago
Evaluation Results
Method
Method
Links
Accuracy
Std. Dev.
Adaptive DBN (TS)
No. of student models=10
2025.11
95.5
0.8
Adaptive DBN (TS)
No. of student models=5
2025.11
85.8
1.9
Adaptive DBN
2025.11
81.2
0.8
Convolutional NN (Wide ResNet)
2025.11
80.7
-
Convolutional NN (ELU-Network)
2025.11
75.7
-
Convolutional NN (Fract. Max Pooling)
2025.11
72.3
-
Convolutional NN (Maxout)
2025.11
61.4
-
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