Meta-Learning with Differentiable Convex Optimization

Benchmark Model Rank Results
few-shot-image-classification-on-cifar-fs-5MetaOptNet-SVM-trainval#30Accuracy: 72.8
few-shot-image-classification-on-cifar-fs-5-1MetaOptNet-SVM-trainval#29Accuracy: 85
few-shot-image-classification-on-fc100-5-wayMetaOptNet-SVM-trainval#11Accuracy: 47.2
few-shot-image-classification-on-fc100-5-way-1MetaOptNet-SVM-trainval#12Accuracy: 62.5
few-shot-image-classification-on-mini-2MetaOptNet-SVM-trainval#57Accuracy: 64.09
few-shot-image-classification-on-mini-3MetaOptNet-SVM-trainval#50Accuracy: 80
few-shot-image-classification-on-tieredMetaOptNet-SVM-trainval#39Accuracy: 65.81
few-shot-image-classification-on-tiered-1MetaOptNet-SVM-trainval#38Accuracy: 81.75