Best ML papers to pick up writing skills [D]
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A Reddit user in a developer community is seeking recommendations for machine learning (ML) research papers that can help PhD students and early researchers improve their writing skills. They are looking for specific papers, old or new, and potentially favorite researchers known for well-written papers, to serve as additional reading resources beyond the practice of writing manuscripts.
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.