Fig. 3. Transferring kernel methods from CIFAR10 to adapt to 19 different corruptions in CIFAR10-C.

a Test accuracy of baseline kernel method (red), using source predictor given by directly applying the kernel trained on CIFAR10 to CIFAR10-C (gray), and transferred kernel method (green). The transferred kernel method outperforms the other models on all 19 corruptions and even improves on the baseline kernel method when the source predictor exhibits a decrease in performance. Additional results are presented in SI Fig. S6. b Performance of the transferred and baseline kernel predictors as a function of the number of target examples. The transferred kernel method can outperform both source and baseline predictors even when transferred using as little as 200 target examples.