All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training

Benchmark Model Rank Results
semi-supervised-image-classification-on-cifarSemCo (μ=7)#1Percentage error: 3.8±0.08
semi-supervised-image-classification-on-cifar-2SemCo (μ=7)#13Percentage error: 24.45±0.12
semi-supervised-image-classification-on-miniSemCo (μ=3)#3Accuracy: 53.99±0.93
semi-supervised-image-classification-on-miniSemCo (μ=7)#4Accuracy: 50.54±2.20
semi-supervised-image-classification-on-mini-2SemCo (μ=3)#2Accuracy: 44.65±0.71
semi-supervised-image-classification-on-mini-2SemCo (μ=7)#3Accuracy: 40.65±0.23