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Image Classification on MNIST CW perturbed (test)

98.15AccuracyCCE
6.619630.382354.14577.9077Mar 18, 2026
Updated 7mo ago

Evaluation results

MethodLinks
CCELoss Function=CCE2026.0398.15
FCLLoss Function=FCL, mu=02026.0398.1
SCELoss Function=SCE, alpha=0.5, beta=12026.0398.09
rSDNetbeta=0.3, lambda=0.52026.0398.09
rSDNetbeta=0.5, lambda=0.52026.0398.09
rSDNetbeta=0.3, lambda=02026.0398.08
rSDNetbeta=0.1, lambda=02026.0398.07
rSDNetbeta=0.7, lambda=0.52026.0398.05
rSDNetbeta=0.7, lambda=-0.52026.0397.97
rSDNetbeta=0.1, lambda=-0.32026.0397.97
GCELoss Function=GCE, q=0.72026.0397.96
rSDNetbeta=0.3, lambda=-0.52026.0397.96
rSDNetbeta=0.9, lambda=-0.72026.0397.95
rSDNetbeta=0.5, lambda=-0.32026.0397.94
FCLLoss Function=FCL, mu=0.252026.0397.93
rSDNetbeta=0.3, lambda=-12026.0397.93
rSDNetbeta=0.5, lambda=02026.0397.93
rSDNetbeta=0.7, lambda=-0.72026.0397.92
rSDNetbeta=0.7, lambda=-0.32026.0397.92
rSDNetbeta=0.9, lambda=-12026.0397.91
rSDNetbeta=0.5, lambda=-0.72026.0397.9
rSDNetbeta=0.5, lambda=-0.52026.0397.89
rSDNetbeta=0.9, lambda=-0.32026.0397.89
GCELoss Function=GCE, q=0.52026.0397.88
rSDNetbeta=0.5, lambda=-12026.0397.88
rSDNetbeta=0.1, lambda=-0.72026.0397.88
rSDNetbeta=1, lambda=02026.0397.88
rSDNetbeta=0.1, lambda=-0.52026.0397.87
rSDNetbeta=0.3, lambda=-0.32026.0397.87
rSDNetbeta=0.7, lambda=02026.0397.87
rSDNetbeta=0.9, lambda=-0.52026.0397.85
rSDNetbeta=0.9, lambda=0.52026.0397.85
rSDNetbeta=0.3, lambda=-0.72026.0397.84
rSDNetbeta=0.7, lambda=-12026.0397.81
rSDNetbeta=0.1, lambda=-12026.0397.74
MAELoss Function=MAE2026.0397.7
rSDNetbeta=0.1, lambda=0.52026.0397.02
TCCELoss Function=TCCE, alpha=0.12026.0395.49
TCCELoss Function=TCCE, alpha=0.22026.0391.84
TCCELoss Function=TCCE, alpha=0.32026.0388.08
FCLLoss Function=FCL, mu=0.752026.0310.29
FCLLoss Function=FCL, mu=0.52026.0310.14