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Omniglot

Benchmarks

Task NameDataset NameSOTA ResultTrend
Few-shot classificationOmniglot (test)
Accuracy99.58
109
ClassificationOmniglot to EMNIST (test)
Accuracy90.81
51
5-way 5-shot ClassificationOmniglot (test)
Accuracy99.93
49
Few-shot classificationOmniglot 20-way 5-shot (test)
Accuracy99.65
43
Few-shot classificationOmniglot 20-way 1-shot (test)
Accuracy99.12
43
Image ClassificationOMNIGLOT (test)
Accuracy99.6
39
Few-shot classificationOmniglot
Accuracy99.9
38
Few-shot classificationOmniglot 5-way 5-shot (test)
Accuracy99.58
35
5-way 1-shot ClassificationOmniglot (test)
Accuracy99.5
34
Generative ModelingOmniglot (train)
Log Likelihood-108.62
30
Variational InferenceOmniglot (test)
Test Log Likelihood-112.7
30
20-way 1-shot ClassificationOmniglot (test)
Accuracy99.2
28
Image ModelingOMNIGLOT (test)
NLL89.05
27
5-way Few-shot ClassificationOmniglot (test)
Accuracy (1-shot)99.8
27
5-way 1-shot classificationOmniglot
Accuracy98.35
23
20-way 5-shot ClassificationOmniglot (test)
Accuracy99.14
23
Image ClassificationOmniglot 5-way 1-shot (test)
Accuracy98.23
21
Hyper-representation LearningOmniglot (val)
Accuracy78.3
21
Hyper-representation Learning (5-way 5-shot)Omniglot (val)
Validation Accuracy93.13
21
20-way Few-Shot Image ClassificationOmniglot (test)
Accuracy99.63
18
20-way Few-shot ClassificationOmniglot (test)
1-shot Accuracy98.825
18
ClassificationOmniglot 20-way (test)
Accuracy98.97
17
Density EstimationOMNIGLOT dynamically binarized (test)
NLL88.29
16
Few-Shot Image ClassificationOmniglot 20-Way
Accuracy99
16
Conditional estimationOmniglot (test)
Test Log Likelihood72.98
15
Showing 25 of 69 rows