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SOTA Semi-supervised classification benchmarks and papers with code | Wizwand
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Semi-supervised classification
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
MNIST digits 8, 9 n=10000 (unlabeled points)
Top Eigen
Average Run Time (s)
0.01
25
1mo ago
tieredImageNet (test)
TPN-semi
Accuracy
71.01
16
1mo ago
MNIST 100 labels
ADGM
Error Rate
0.0096
16
1mo ago
SVHN 1000 labels
ADGM
Error Rate
16.61
14
1mo ago
ImageNet 10% labels (train)
TWIST
Top-1 Accuracy
0.765
12
1mo ago
ImageNet 1% labels (train)
TWIST
Top-1 Acc
69.6
12
1mo ago
Reuters
MGCN-FLC
Accuracy
99.1
10
19d ago
ProteinFold
MGCN-FLC
Accuracy
60
10
19d ago
NGs
MGCN-FLC
Accuracy
97.8
10
19d ago
BBCSports
MGCN-FLC
Accuracy
97.4
10
19d ago
WebKB
MGCN-FLC
Accuracy
91.8
10
19d ago
NUS-WIDE
MGCN-FLC
Accuracy
99
10
19d ago
MNIST
GBCM-GCN
Accuracy
98
10
19d ago
Caltech101 7
MGCN-FLC
Accuracy
97.5
10
19d ago
BBCnews
MGCN-FLC
Accuracy
0.984
10
19d ago
ImageNet 10% labels 1K (val)
LEWEL_B
Top-5 Acc
90.1
10
1mo ago
ImageNet 1% labels 1K (val)
LEWEL_B
Top-5 Accuracy
83.2
10
1mo ago
ImageNet 10% labels
BYOL
Top-1 Acc
77.7
10
1mo ago
MNIST 100 labels statically binarized (test)
SSLGAN
Error Rate (%)
0.8
10
1mo ago
MNIST 1000 labels
Ladder Networks
Error Rate
0.0084
8
1mo ago
STL-10 25 labels per class
UniMatch V2
Accuracy (Seed 0)
91.7
4
1mo ago
NORB 1000 labels
VAT
Error Rate
9.96
1
1mo ago
SVHN 500 labels
-
-
0
1mo ago
MNIST 50 labels
-
-
0
1mo ago
MNIST 20 labels
-
-
0
1mo ago
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