Re:One-shot Learning with Memory-Augmented Neural Networks
by daveguy on Saturday May 21, 2016 @01:28PM
(#11745409)
> Is it really that hard to produce a human-readable description of the architecture and put it in a particular place of the paper instead of spreading them all over?
That would allow easier reproducibility, which is the opposite of the goal for papers that come out of industry. This is the purpose of industry papers (in order of importance):
1) Avoid sufficient clarity such that competing companies could reproduce the work.
2) Brag about the company's capabilities such that it increases interest from potential customers.
3) Maintain just enough scientific rigor and clarity that it is still publishable.
1 is generally top priority. 2 is the goal. If 1 prevents 3 then they just call it a white paper and publish only to arxiv or on their website. That way you still get exposure for 2 without compromising 1.
That would allow easier reproducibility, which is the opposite of the goal for papers that come out of industry. This is the purpose of industry papers (in order of importance):
1) Avoid sufficient clarity such that competing companies could reproduce the work.
2) Brag about the company's capabilities such that it increases interest from potential customers.
3) Maintain just enough scientific rigor and clarity that it is still publishable.
1 is generally top priority. 2 is the goal. If 1 prevents 3 then they just call it a white paper and publish only to arxiv or on their website. That way you still get exposure for 2 without compromising 1.