[D] Old Paper - Troubling Trends in Machine Learning Scholarship

I just wanted to remind or introduce newcomers to this paper. I think this discussion should be re-opened since many people here actually do influence the trends of the field.

[https://arxiv.org/pdf/1807.03341](https://arxiv.org/pdf/1807.03341)

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On a personal note (feel free to skip):

Specifically, I want to point out the issue of "Mathiness", as it seems like this problem **got way out of hand** and most best papers of conferences suffer from it (one of the most important ML papers tried to be …

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