One essential problem in domain generalization is to learn discriminative domain-invariant features.

For all authors... (a) Do the main claims made in the abstract and introduction accurately reflect the paper's contributions and scope?

Knowledge tracing (KT) is the task of using students' historical learning interaction data to model their knowledge mastery over time so as to make predictions on their

In this regard, the design of stronger adversarial attacks plays a crucial role in understanding the nature of possible real-world threats.

Image data is pre-processed in the standard way: cropping, resizing, and then normalizing using the mean and standard deviation of RGB values of ImageNet dataset. Note that for this experiment we only using "Walking" Heatmaps overlapping on images indicate epipolar error for each pixels. We characterize some failure cases in terms of geometric consistency, as shown in Figure 1. Our approach fails when the following assumptions do not hold. There must be enough corresponding points between two views.