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ResearchFormerly WizWand

Image Classification on CIFAR-10 (train)

0Error RateMax Pooling
-1.937211.138924.21537.2911Jan 16, 2013Apr 11, 2015Jul 4, 2017Sep 27, 2019Dec 20, 2021Mar 14, 2024Jun 8, 2026
Updated 4mo ago

Evaluation results

MethodLinks
Max PoolingArchitecture=3-layer Conv. Net, Pooling Method=Max2013.010
BPArchitecture=Convolutional, Network Type=Conventional, Sign Constraint=Mixed-sign2021.060.15
BPArchitecture=Convolutional, Network Type=Conventional, Sign Constraint=Nonnegative2021.060.23
BPArchitecture=Locally connected, Network Type=Vectorized, Sign Constraint=Nonnegative2021.060.34
BPArchitecture=Locally connected, Network Type=Vectorized, Sign Constraint=Mixed-sign2021.060.36
CURVEBALL λArchitecture=ResNet-182018.050.7
BPArchitecture=Fully connected, Network Type=Vectorized, Sign Constraint=Nonnegative2021.060.72
BPArchitecture=Fully connected, Network Type=Conventional, Sign Constraint=Mixed-sign2021.060.73
BPArchitecture=Fully connected, Network Type=Vectorized, Sign Constraint=Mixed-sign2021.060.78
GEVBArchitecture=Locally connected, Network Type=Vectorized, Sign Constraint=Nonnegative2021.060.83
GEVBArchitecture=Locally connected, Network Type=Vectorized, Sign Constraint=Mixed-sign2021.060.83
BPArchitecture=Fully connected, Network Type=Conventional, Sign Constraint=Nonnegative2021.060.96
GEVBArchitecture=Fully connected, Network Type=Vectorized, Sign Constraint=Nonnegative2021.061.25
CURVEBALLArchitecture=ResNet-182018.051.3
AdamArchitecture=ResNet-182018.051.4
BPArchitecture=Convolutional, Network Type=Vectorized, Sign Constraint=Mixed-sign2021.061.71
Avg PoolingArchitecture=3-layer Conv. Net, Pooling Method=Average2013.011.92
GEVBArchitecture=Fully connected, Network Type=Vectorized, Sign Constraint=Mixed-sign2021.062.02
cSB-EPArchitecture=4-conv, Algorithm Variant=cEP2026.062.08
SGDArchitecture=ResNet-182018.052.1
0/1(BCD)Filter number=2340, Parameter number=14.20M, FLOPs (M)=221.42022.062.179
SELUFilter number=3000, Parameter number=14.21M, FLOPs (M)=223.42022.062.43
STEFilter number=3000, Parameter number=14.21M, FLOPs (M)=221.72022.062.465
ReLUFilter number=3000, Parameter number=14.21M, FLOPs (M)=223.42022.062.478
SwishFilter number=3000, Parameter number=14.21M, FLOPs (M)=223.42022.062.486
TanhFilter number=3000, Parameter number=14.21M, FLOPs (M)=223.42022.062.488
Bi-Real-NetFilter number=3000, Parameter number=14.21M, FLOPs (M)=221.72022.062.497
DFAArchitecture=Fully connected, Network Type=Conventional, Sign Constraint=Mixed-sign2021.062.88
DFAArchitecture=Locally connected, Network Type=Conventional, Sign Constraint=Mixed-sign2021.062.94
PCNNFilter number=3000, Parameter number=14.21M, FLOPs (M)=221.72022.063.007
SigmoidFilter number=3000, Parameter number=14.21M, FLOPs (M)=223.42022.063.05
BPArchitecture=4-conv2026.063.1
DFAArchitecture=Fully connected, Network Type=Conventional, Sign Constraint=Nonnegative2021.063.28
Stochastic PoolingArchitecture=3-layer Conv. Net, Pooling Method=Stochastic2013.013.4
CCNNFilter number=3000, Parameter number=14.21M, FLOPs (M)=221.72022.063.626
cEPArchitecture=4-conv2026.064.98
cEPArchitecture=4-conv2026.065.6
CURVEBALL λArchitecture=Basic + BN2018.057.6
CURVEBALLArchitecture=Basic + BN2018.059.4
AdamArchitecture=Basic + BN2018.059.6
SGDArchitecture=Basic + BN2018.0510
DFAArchitecture=Locally connected, Network Type=Conventional, Sign Constraint=Nonnegative2021.0610.62
CURVEBALL λArchitecture=Basic2018.0514.1
CURVEBALLArchitecture=Basic2018.0515.3
AdamArchitecture=Basic2018.0515.7
BPArchitecture=Convolutional, Network Type=Vectorized, Sign Constraint=Nonnegative2021.0616.29
DFAArchitecture=Convolutional, Network Type=Conventional, Sign Constraint=Mixed-sign2021.0617.25
SGDArchitecture=Basic2018.0518.9
GEVBArchitecture=Convolutional, Network Type=Vectorized, Sign Constraint=Mixed-sign2021.0620.59
GEVBArchitecture=Convolutional, Network Type=Vectorized, Sign Constraint=Nonnegative2021.0628.83
DFAArchitecture=Convolutional, Network Type=Conventional, Sign Constraint=Nonnegative2021.0648.43