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ResearchFormerly WizWand

Pixel-by-pixel image classification on CIFAR-10 sequential (test)

91.13AccuracyS4
59.898868.006976.11584.2231Oct 22, 2019Feb 22, 2020Jun 24, 2020Oct 26, 2020Feb 26, 2021Jun 29, 2021Oct 31, 2021
Updated 8mo ago

Evaluation results

MethodLinks
S42021.1091.13
S42021.1091.13
LSSLState Transition=Learned2021.1084.65
LSSL2021.1084.65
LSSL-fixedState Transition=Fixed2021.1081.97
URGRU + Zoneoutregularization=Zoneout2019.1074.4
URGRU2021.1074.4
UR-GRU2021.1074.4
UR-GRU2021.1074.4
URLSTM + Zoneoutregularization=Zoneout2019.1074.34
TrellisNet2019.1073.42
TrellisNet2021.1073.42
TrellisNet2021.1073.42
TrellisNet2021.1073.42
r-LSTMlayers=2, auxiliary loss=true2019.1072.2
r-LSTM2021.1072.2
r-LSTM2021.1072.2
r-LSTM2021.1072.2
URLSTM2019.1071
UR-LSTM2021.1071
UR-LSTM2021.1071
LipschitzRNN2021.1064.2
LipschitzRNN2021.1064.2
LipschitzRNN2021.1064.2
CKConv2021.1063.74
CKConv2021.1063.74
CKConv2021.1063.74
LSTMImplementation=ours2019.1063.01
LSTM2021.1063.01
LSTM2021.1063.01
Transformer2019.1062.2
Transformer2021.1062.2
Transformer2021.1062.2
Transformer2021.1062.2
HiPPO-RNN2021.1061.1
HiPPO-RNN2021.1061.1
HiPPO-RNN2021.1061.1