Best ML papers to pick up writing skills [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
Which research papers (old or new) do you think a PhD student/early researcher must read to improve their writing skills? Do you have a personal favorite researcher whose papers tend to be well-written, in your opinion?
Let's define a "well-written paper" as one that clearly explains the problem it is trying to solve, how the method is developed, and the details of the method, while keeping it easy to understand for a general reader (with a basic knowledge of ML, obviously).
Also, post-2015-ish papers usually have nice figures to explain their problem/method, and so they tend to be easier to understand. But I am looking for "well-written papers" in terms of the text.
PS: I know the best way to learn writing is by actually writing manuscripts, but I am looking for additional reading resources.
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