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ResearchFormerly WizWand

Sequence Classification on CIFAR-10 sequential standard (test)

93.15AccuracyMultiresNet
71.36277.018582.67588.3315Sep 21, 2023
Updated 8mo ago

Evaluation results

MethodLinks
MultiresNetArchitecture Class=Convolution2023.0993.15
Liquid-S4Architecture Class=State-space or linear recurrent2023.0992.02
S4Architecture Class=State-space or linear recurrent2023.0991.8
Multi-head GRUArchitecture Class=Non-linear recurrent, computation_method=DEER2023.0990.25
LRUArchitecture Class=State-space or linear recurrent2023.0989
LSSLArchitecture Class=State-space or linear recurrent2023.0984.65
FlexConvArchitecture Class=Convolution2023.0980.82
UR-GRUArchitecture Class=Non-linear recurrent2023.0974.4
TrellisNetArchitecture Class=Convolution2023.0973.42
r-LSTMArchitecture Class=Non-linear recurrent2023.0972.2