Global-Local Regularization Via Distributional Robustness

Benchmark Model Rank Results
adversarial-robustness-on-cifar-10GLOT-DR#4Accuracy: 84.13Attack: AutoAttack: 49.94
domain-adaptation-on-imageclef-daGLOT-DR#3Accuracy: 90.4
domain-adaptation-on-office-31GLOT-DR#23Average Accuracy: 87.8
domain-generalization-on-pacs-2GLOT-DR#82Average Accuracy: 73.5
semi-supervised-image-classification-on-cifarGLOT-DR#32Percentage error: 10.6