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In AI/ML job ads it is quite typical for the requirements to include, "must have published at top AI conferences include but not limited to NeuroIPS, ICML, ICLR, ...etc", which I find completely crazy, because it just incentivizes grad students to publish rubbish papers to have on their CV, and indeed most conference papers in AI/ML are complete rubbish, because it is trivial to take any architecture and any corresponding benchmark, tweak the architecture slightly and publish a paper. Even dud results are published as "promising". It's just a complete shitshow, and as somebody who is in the field it feels as though you cannot even complain because people get offended. You're just supposed to keep spinning the hamster wheel without posing any hard questions. Moreover, having published at top conferences does not prove that somebody is going to be a good ML Engineer. It just proves that somebody knows how to write a compelling conference paper, which is a completely different skill set altogether.


imo its a little more difficult to publish at these conferences using: "take any architecture and any corresponding benchmark, tweak the architecture slightly and publish a paper". at t2-t3 conferences ... sure.




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