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ResearchFormerly WizWand

Image Classification on Fashion-MNIST uniform noise η=0.2 (7-fold CV)

88.32AccuracyrSDNet
6.763227.936649.1170.2834Mar 18, 2026
Updated 7mo ago

Evaluation results

MethodLinks
rSDNetβ=0, λ=−0.52026.0388.32
GCEq=0.52026.0388.16
rSDNetβ=0.05, λ=−0.52026.0387.88
rSDNetβ=0.1, λ=−0.72026.0387.58
rSDNetβ=0.1, λ=−0.52026.0387.49
rSDNetβ=0.05, λ=−0.72026.0387.17
TCCEparameter=0.32026.0387.15
GCEq=0.72026.0386.58
rSDNetβ=0.3, λ=−12026.0386.51
rSDNetβ=0.1, λ=−0.82026.0386.49
rSDNetβ=0.3, λ=−0.82026.0386.48
rSDNetβ=0, λ=−0.72026.0386.4
rSDNetβ=0.3, λ=−0.72026.0386.31
TCCEparameter=0.22026.0386.3
rSDNetβ=0.05, λ=−0.82026.0386.17
rSDNetβ=0, λ=−0.82026.0384.94
rSDNetβ=0.1, λ=−12026.0384.8
rSDNetβ=0.3, λ=−0.52026.0384.4
rSDNetβ=0.05, λ=−12026.0383.81
rKLD2026.0380.99
rSDNetβ=0.5, λ=−0.52026.0380.85
TCCEparameter=0.12026.0380.7
rSDNetβ=0.5, λ=−0.72026.0380.61
rSDNetβ=0.5, λ=−0.82026.0380.44
rSDNetβ=1, λ=02026.0379.79
rSDNetβ=0.7, λ=−0.52026.0379.31
rSDNetβ=0.5, λ=−12026.0379.28
rSDNetβ=0.7, λ=−0.82026.0379.2
MAE2026.0379.07
rSDNetβ=0.7, λ=−12026.0378.9
rSDNetβ=0.7, λ=−0.72026.0378.77
rSDNetβ=0.7, λ=02026.0378.48
rSDNetβ=0.5, λ=02026.0377.85
rSDNetβ=0.7, λ=0.52026.0377.85
SCEα=0.5, β=12026.0377.81
rSDNetβ=0.3, λ=02026.0375.41
FCLμ=0.252026.0375.14
FCLμ=02026.0375.13
rSDNetβ=0.1, λ=02026.0374.35
rSDNetβ=0.5, λ=0.52026.0374.25
CCE2026.0374.01
FCLμ=0.502026.0368.45
FCLμ=0.752026.039.9