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Sequential Image Recognition on sMNIST (test)

99.5Test AccuracyLEM
89.93292.41694.997.384Oct 10, 2021Apr 8, 2022Oct 6, 2022Apr 4, 2023Oct 2, 2023Mar 30, 2024Sep 27, 2024

Evaluation results

MethodLinks
LEM# units=128, Number of parameters=68k2021.1099.5
Lipschitz RNN# units=128, Number of parameters=34k2021.1099.4
Lipschitz RNNnumber of units=128, number of parameters=34k2024.0999.4
coRNN# units=128, Number of parameters=34k2021.1099.3
coRNNnumber of units=128, number of parameters=34k2024.0999.3
GRU# units=256, Number of parameters=201k2021.1099.1
LSTM# units=256, Number of parameters=267k2021.1098.9
chrono-LSTM# units=128, Number of parameters=68k2021.1098.9
expRNN# units=360, Number of parameters=69k2021.1098.4
anti.sym. RNN# units=128, Number of parameters=10k2021.1098
AntisymmetricRNNnumber of units=128, number of parameters=10k2024.0998
ORGANICsnumber of units=128, number of parameters=100k2024.0997.8
ORGANICsnumber of units=64, number of parameters=26k2024.0997.7
LSTMsnumber of units=128, number of parameters=68k2024.0997.3
ORGANICs (fixed time constants)number of units=128, number of parameters=100k, time constants=fixed2024.0994.8
ORGANICs (fixed time constants)number of units=64, number of parameters=26k, time constants=fixed2024.0990.3