Review for NeurIPS paper: Searching for Low-Bit Weights in Quantized Neural Networks

Weaknesses: 1) The similar idea of learning an auxiliary differentiable network has also been introduced in the following paper. The main difference of this paper to the following reference is that multiple bits are learned for each code in this paper while, undoubtedly, binary weights and representations will be more cost-efficient. More importantly, authors did not discuss this similar reference. IJCAI, 2019 2) I am very confused with the EQ. According to EQ. (1), The values v are discrete numbers while p is probability that the elements in W belong to the i -th discrete value.