What about catalog of reasonable baseline algorithms and tasks?
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It might be way subject specific, though, so it'd take a series of posts/community wiki/SO post.
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Ok, fair enough, but I think that we should know better. "We" often claim 2x gain when real system is a no-op.
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Many of the bogus academic papers I read just dont build out something where you could measure the real effect
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I’m in a place where I can find out which papers are bogus, but I wonder what grad students do?
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Just saw CMU professor cite a bogus paper on HN to defend against vaporware claims. I was worried about students but this also hurts profs.
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I don't think people will speak up without anonymity. And maybe not even then.
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I once had someone make the case I could be fired because of comments similar to the ones I've made here.
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when in a pessimistic mood, I think all papers have some bullshit—but industrial bullshit is harder to detect
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I feel like different companies have different flavors of bullshit.
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