Curious: how are people finding the most important recent AI papers? (I haven't been seriously following, but would like to catch up.)
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I'm finding this list up to 2016 rather useful:https://github.com/terryum/awesome-deep-learning-papers …
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@karpathy's arxiv-sanity is a great project, and I wondered how the top papers over the past year (http://www.arxiv-sanity.com/top?timefilter=year&vfilter=all … ) would be. But many of the most-saved papers are elementary tutorials, which makes me wonder about the collective(!) judgement of users on the siteShow this thread -
What are your favourite 1-3 AI / ML papers over the past 12-24 months? (And feel free to say what excited you about them?)
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(To clarify the arxiv-sanity remark: nothing against the project or users! But it suggests the collective judgements are from people fairly new to the field - natural, given the influx into deep learning. But curious about the recommendations of ppl who've been at this a while!)
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The suggestions so far are great! Please keep them coming! Also love to hear about classic papers that you particularly like!
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I’d suggest
@Miles_Brundage and@BrundageBot for as many as you might want or need! -
A bit too unfiltered for my purposes. But thanks!
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