Reviews: Abstract Reasoning with Distracting Features

As the performance on extrapolation is one of the key indicators of the model's abstract reasoning ability and extrapolation can also be treated as one kind of distracting features, a set of experiment on extrapolation will further demonstrate the proposed model's ability to distinguish distracting features and reasoning features. In addition, it would also be interesting to see how the performances of models other than LEN (e.g. RN, WReN, etc.) as the student networks can benefit from a teacher model. Clarity: The paper is generally well-written and structured clearly. Significance: This paper seems to be a useful contribution to the literature on abstract reasoning, showing a large improvement over the state of the art. Post-rebuttal update I am happy to main my ratings and recommend this work for acceptance after reading through other reviews as well as the author rebuttal, and engaging in the discussions. I look forward to seeing the discussions on disentangled representation, experimental results on extrapolation, and performances of models other than LEN in the camera ready version of this paper.