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Image Classification on CIFAR-10 30% symmetric noise (test)

82.26AccuracyDCQ
36.884848.664960.44572.2251Jan 22, 2026Jan 27, 2026Feb 2, 2026Feb 7, 2026Feb 13, 2026Feb 18, 2026Feb 24, 2026
Updated 8mo ago

Evaluation results

MethodLinks
DCQBackbone=ResNet-18, Pruning Ratio=80%2026.0282.26
CCSBackbone=ResNet-18, Pruning Ratio=80%2026.0278.51
TDDSBackbone=ResNet-18, Pruning Ratio=80%2026.0277.44
RandomBackbone=ResNet-18, Pruning Ratio=80%2026.0276.51
DCQBackbone=ResNet-18, Pruning Ratio=87.5%2026.0273.44
CCSBackbone=ResNet-18, Pruning Ratio=87.5%2026.0269.35
DCQBackbone=ResNet-18, Pruning Ratio=92%2026.0268.34
TDDSBackbone=ResNet-18, Pruning Ratio=87.5%2026.0267.99
RandomBackbone=ResNet-18, Pruning Ratio=87.5%2026.0267.18
CCSBackbone=ResNet-18, Pruning Ratio=92%2026.0264.16
TDDSBackbone=ResNet-18, Pruning Ratio=92%2026.0263.66
RandomBackbone=ResNet-18, Pruning Ratio=92%2026.0262.05
DCQBackbone=ResNet-18, Pruning Ratio=96%2026.0259.17
CCSBackbone=ResNet-18, Pruning Ratio=96%2026.0251.28
TDDSBackbone=ResNet-18, Pruning Ratio=96%2026.0250.85
RandomBackbone=ResNet-18, Pruning Ratio=96%2026.0249.36
RACTBackbone=CNN, Noise level=30%, Noise type=symmetric, Seeds=3-52026.0147.36
CoTBackbone=CNN, Noise level=30%, Noise type=symmetric, Seeds=12026.0147
CEBackbone=CNN, Noise level=30%, Noise type=symmetric, Seeds=12026.0146.71
LSBackbone=CNN, Noise level=30%, Noise type=symmetric, Seeds=12026.0146.51
DivideMixBackbone=CNN, Noise level=30%, Noise type=symmetric, Seeds=22026.0138.63