Despite tremendous progress over the past decade, deep learning methods
generally fall short of human-level systematic generalization. It has been
argued that explicitly capturing the underlying structure of data should allow
connectionist systems to generalize in a more predictable and systematic
manner. Indeed, evidence in humans suggests that interpreting