Our new X account is live! Follow @wizwand_team for updates
Home
/
Benchmarks
Classification on MNIST
Loading...
0.57
Error Rate
Ladder Networks
-354.0072
2,039.3889
4,432.785
6,826.1811
Oct 17, 2015
Jul 13, 2016
Apr 9, 2017
Jan 4, 2018
Oct 1, 2018
Jun 28, 2019
Mar 24, 2020
Error Rate
Updated 4d ago
Evaluation Results
Method
Method
Links
Error Rate
Ladder Networks
2015.11
0.57
VAT
2015.11
0.64
Adversarial Autoencoders
training=end-to-end
2015.11
0.85
CatGAN
2015.11
0.91
VAE (M1 + M2)
2015.11
0.96
NN Baseline
Regularization=Dropout
2015.11
1.25
BN
Batch Normalization=true
2015.10
52
uSF+BN
Feedback=Uniform Sign-...
2015.10
55
NuSF
Feedback=Normalized uSF
2015.10
60
SGD
Optimizer=SGD
2015.10
67
BN+BM
Batch Normalization=tr...
2015.10
73
brSF+BN+BM
Feedback=Biased Random...
2015.10
80
uSF+BN+BM
Feedback=Uniform Sign-...
2015.10
83
frSF+BN+BM
Feedback=Fixed Random...
2015.10
91
LeNet-N
# Trained Params=64k
2020.03
92
uSF+BM
Feedback=Uniform Sign-...
2015.10
95
BM
Batch Manhattan=true
2015.10
99
uSF
Feedback=Uniform Sign-...
2015.10
8,865
Feedback
Search any
task
Search any
task