Image Classification on noise padded CIFAR-10

Metric: % Test Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	% Test Accuracy▼	Extra Data	Paper	Date↕	Code
1	UnICORNN	62.4	No	UnICORNN: A recurrent model for learning very lo...	2021-03-09	Code
2	LEM	60.5	No	Long Expressive Memory for Sequence Modeling	2021-10-10	Code
3	coRNN	59	No	Coupled Oscillatory Recurrent Neural Network (co...	2020-10-02	Code
4	Lipschitz RNN	59	No	Lipschitz Recurrent Neural Networks	2020-06-22	Code
5	AntisymmetricRNN w/ gating	54.7	No	AntisymmetricRNN: A Dynamical System View on Rec...	2019-02-26	Code
6	LSTM	11.6	No	AntisymmetricRNN: A Dynamical System View on Rec...	2019-02-26	Code

#1UnICORNNSOTA
62.4
% Test Accuracy· 2021-03-09
UnICORNN: A recurrent model for learning very long time dependencies Code
#2LEM
60.5
% Test Accuracy· 2021-10-10
Long Expressive Memory for Sequence Modeling Code
#3coRNN
59
% Test Accuracy· 2020-10-02
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies Code
#4Lipschitz RNNSOTA
59
% Test Accuracy· 2020-06-22
Lipschitz Recurrent Neural Networks Code
#5AntisymmetricRNN w/ gatingSOTA
54.7
% Test Accuracy· 2019-02-26
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks Code
#6LSTM
11.6
% Test Accuracy· 2019-02-26
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks Code