Before revision:  We find that, when trained on datasets of images with conflicting shape and texture, the inductive bias of CNNs often favors shape; in general, models learn shape at least as easily as  texture .
After revision:  We find that, when trained on datasets of images with conflicting shape and texture, CNNs learn to classify by shape at least as easily as texture .