Table 2 presents the results of the cross-domain experiment, whereby we train a model on MR and test on CR, and vice versa, to measure the robustness of the different regularization methods in a more real-world setting.
finally, the model minimizes the loss of the cross-entropy between the ground-truth and the model prediction, L = CrossEntropy(y true , y pred ), for which we use stochastic gradient descent.