How do you identify researchers who are good? [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
About 10 years ago, I got into the basics of ML (like regression, KNN's, LVQ's) and read a few papers before taking a break a few years back.
It feels like now, there's a lot of researchers in AI. How do you identify the ones who are actually solid vs those who (forgive my phrasing) are more researchers for appearance/status (i.e don't actually know what they're talking about)?
Is the core filter h-index or where they work? How would you identify them?
[link] [comments]
More from r/MachineLearning
-
How papers are selected for Best Paper, Oral, or Highlight presentation at major ML/CV conferences such as CVPR, ICCV, ECCV, NeurIPS, and ICLR? [D]
Jul 2
-
BMVC 2026 Review Discussion Thread [D]
Jul 2
-
Has anyone tried this approach with Fast Byte Latent Transformers ? [R]
Jul 2
-
Books/Resources to improve mathematical foundations for ML research [D]
Jul 2
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.