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ResearchFormerly WizWand

Classification on Splice

97.72AccuracyMultilinear-STE
58.595268.752678.9189.0674Oct 8, 2019Nov 11, 2020Dec 17, 2021Jan 22, 2023Feb 27, 2024Apr 3, 2025May 9, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Multilinear-STE2026.0597.72
Multilinear-CovJac2026.0597.53
Soft-Mix2026.0597.4
M-CovJac#p/n=4, L=6, k=4k, iterations=50k, τ=1.02026.0597.2
Gumbel-ST2026.0597.2
M-STE#p/n=4, L=6, k=4k, iterations=50k, τ=1.02026.0597.07
Soft-Mix#p/n=16, L=6, k=4k, iterations=50k, τ=1.02026.0597.01
Gumbel-ST#p/n=16, L=6, k=4k, iterations=50k, τ=1.02026.0596.81
Peernoise_rates=0.1, 0.3, prior_equalization=p != 0.52019.1092.5
PeerPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1092.5
Peernoise_rates=0.1, 0.3, prior_equalization=p = 0.52019.1091.9
PeerPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1091.9
PeerPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1091.2
PeerPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1090.1
DMIPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1088.9
Surrnoise_rates=0.1, 0.3, prior_equalization=p != 0.52019.1088.5
SurrPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1088.5
SurrPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1087.8
DMIPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1087.5
SymmPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1086.8
SymmPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1085.1
SurrPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1084
SurrPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1083.2
PeerPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1082.2
PeerPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1081.9
NNPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1081.1
DMIPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1081
NNPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1080.9
DMIPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1080.1
SymmPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1078.2
SymmPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1075.7
SurrPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1075.5
SurrPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1075.4
NNPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1072.5
NNPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1071.4
SymmPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1067.4
DMIPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1066
SymmPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1065.7
DMIPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1064.7
NNPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1062.6
NNPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1060.1