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Pixel-by-pixel Image Classification on MNIST permuted
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96.3
Accuracy
Lipschitz RNN using Euler
90.58
92.065
93.55
95.035
Jun 22, 2020
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Lipschitz RNN using Euler
N=128, # params=≈31K
2020.06
96.3
Exponential RNN
N=360, # params=≈69K
2020.06
96.2
Lipschitz RNN using RK2
N=128, # params=≈34K
2020.06
96.2
Antisymmteric RNN
N=128, # params=≈10K
2020.06
95.8
Incremental RNN
N=128, # params=≈4K/8K
2020.06
95.6
MomentumLSTM
N=256, # params=≈270K
2020.06
94.7
Kronecker RNN
N=512, # params=≈11K
2020.06
94.5
Lipschitz RNN using Euler
N=64, # params=≈9K
2020.06
94.2
Lipschitz RNN using RK2
N=64, # params=≈9K
2020.06
94.2
Full Capacity Unitary RNN
N=512, # params=≈270K
2020.06
94.1
LSTM baseline
N=128, # params=≈68K
2020.06
92.7
Unitary RNN
N=512, # params=≈9K
2020.06
91.4
Soft orth. RNN
N=128, # params=≈18K
2020.06
91.4
Sequential NAIS-Net
N=128, # params=≈18K
2020.06
90.8
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