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Benchmarks
PvN classification on Binarized CIFAR
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82.7
Accuracy
TEDⁿ
60.756
66.453
72.15
77.847
Nov 1, 2021
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
TEDⁿ
Model=ResNet, MPE Know...
2021.11
82.7
CVIR
Model=ResNet, MPE Know...
2021.11
82.3
CVIR
Model=All Conv, MPE Kn...
2021.11
78.1
TEDⁿ
Model=All Conv, MPE Kn...
2021.11
77.9
nnPU
Model=ResNet, MPE Know...
2021.11
77.2
DEDPUL
Model=ResNet, MPE Know...
2021.11
77.1
DEDPUL
Model=All Conv, MPE Kn...
2021.11
77.1
PvU
Model=ResNet, MPE Know...
2021.11
76.9
uPU
Model=ResNet, MPE Know...
2021.11
76.7
PvU
Model=All Conv, MPE Kn...
2021.11
75.8
nnPU
Model=All Conv, MPE Kn...
2021.11
73.4
uPU
Model=All Conv, MPE Kn...
2021.11
72.5
CVIR
Model=MLP, MPE Knowled...
2021.11
66.9
TEDⁿ
Model=MLP, MPE Knowled...
2021.11
64.2
uPU
Model=MLP, MPE Knowled...
2021.11
64
nnPU
Model=MLP, MPE Knowled...
2021.11
63.1
DEDPUL
Model=MLP, MPE Knowled...
2021.11
62.6
PvU
Model=MLP, MPE Knowled...
2021.11
61.6
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