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If you click enough links, you may eventually find your way to the paper: https://arxiv.org/abs/1606.01299

Thanks. I'd like to make some comments on the paper - it is very readable, even for non-ML folk

- first author was an intern at Google. Cool for him to have a project like this handed to him.

- paper is quite long and I don't think it would ever be published in a reputable journal. The content/length ratio is too low, for one

- another reason I think it would not get accepted is the lack of novelty. What is being done here is a basic interpolation scheme (which explains the "10-100X speedup over SotA) but with weights determined by a lookup table. The table itself is learned beforehand by analyzing a large number of other images.

I havn't time to read through it, but based on your comments, I could see it being accepted to a conference, which is where most CS publications come from (in europe anyway).

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