[New paper] Add a whitepaper on Neural Network Quantization

[p-wysocki]

name: A White Paper on Neural Network Quantization
about: Quantization - from absolute basics to advanced concepts
labels: quantization, miscellaneous

Topic: quantization

Paper title: A White Paper on Neural Network Quantization

Year: 2021

Author(s): Nagel et al.

Canonical link: https://arxiv.org/abs/2106.08295

Notes: It's a fantastic paper for geting into neural network quantization. It covers everything from absolute basics (including quantization justification explained in terms of hardware) up to advanced quantization techniques. I found it exceptionally useful and clear.

[daturkel]

This looks like a great paper, though I typically try to link to the paper that originated or largely popularized a concept. In the case of quantization, that might be BinaryConnect? If that seems like an appropriate starting point, I could include both BinaryConnect and the Qualcomm white paper, which also seems to be one of the heavily-cited papers on the topic.

[p-wysocki]

I'm happy with whatever you decide. BinaryConnect seems interesting, I'll read it sometime soon, and also include in this PR if you want. I get that this paper may not fit too well in this repository, I put it because I believe it's a major popularization of a technique - it's basically an ELI5 of quantization :) Please let me know what you decide.