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Benchmarks
Semi-supervised classification on SVHN 1000 labels
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16.61
Error Rate
ADGM
15.0612
25.5156
35.97
46.4244
Nov 18, 2015
Sep 18, 2016
Jul 20, 2017
May 21, 2018
Mar 22, 2019
Jan 21, 2020
Nov 21, 2020
Error Rate
Updated 4d ago
Evaluation Results
Method
Method
Links
Error Rate
ADGM
2015.11
16.61
Adversarial Autoencoders
training=end-to-end
2015.11
17.7
ADGM
labeled samples=1000
2017.06
22.86
VAT
2015.11
24.63
VAT
labeled samples=1000
2017.06
24.63
SHOT-VAE
Backbone=4-layer MLP,...
2020.11
28.82
smooth-ELBO
Backbone=4-layer MLP,...
2020.11
29.38
Domain-VAE
Backbone=4-layer MLP,...
2020.11
32.17
VAE (M1 + M2)
2015.11
36.02
M1+M2
Backbone=4-layer MLP,...
2020.11
36.02
Disentangled-VAE
Backbone=4-layer MLP,...
2020.11
38.91
NN Baseline
2015.11
47.5
M2
Backbone=4-layer MLP,...
2020.11
54.33
VAE (M1) + TSVM
2015.11
55.33
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