52292e0c763fd027c6eba6b8f494d2eb-Reviews.html

Reviewer response to rebuttal: I have read through the author's rebuttal and I am happy with the proposed changes. I have not changed my review as I already recommended this paper for acceptance. Previous Review: In this work, the authors develop a hierarchical generative model for producing and classifying written characters with the goal of achieving a high level of performance with just one training example. The model is rooted in learning the compositional structure of characters and the causal relationship that dictates how characters are produced. The model is compared to a simpler version of the model that does not represent character strokes, a deep boltzmann machine approach, and a hierarchical deep learning method.