It didn't make the cut just because is a keynote and not a paper, but nevertheless is a great engineering fit. Even more if considering that in the meanwhile Jeff is running the entire brain team, and keep pouring contributions on a regular basis: https://research.google.com/pubs/jeff.html
Slightly OT, but I wanted to know if there's any group/forum where we can read and discuss papers regularly?
I know the morning paper (https://blog.acolyer.org/), but it is not so interactive, in the sense that you can't have discussions with peers and it turns into just passive reading.
At Spotify, we have a reading group. I started one at SoundCloud and at Google there were multiple focused on very specific topics. If you can prove to your company the value in investing in a reading group, you can probably start one in your company too.
KTH, Stockholm's main technical university, has an open reading group too, open to everyone. Probably if you have a big enough university in your area they have something similar.
Alternatively try reddit, ie.: on r/machinelearning.
That said, the value of doing this in real life, in front of a whiteboard, is worth going extra mile and find someone to team up with.
Somewhat related,a general purpose annotation platform is http://hypothes.is - a great feature is that PDF annotations are location independent because they use some kind of fingerprint to identify the document.
You find a rather common spelling mistake (which has been fixed) “credibility-undercutting” and “cringeworthy”? It seems like you are holding blog posts that have made it to the first page of Hacker News to a ridiculously high standard.
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[ 177 ms ] story [ 1488 ms ] threadIt didn't make the cut just because is a keynote and not a paper, but nevertheless is a great engineering fit. Even more if considering that in the meanwhile Jeff is running the entire brain team, and keep pouring contributions on a regular basis: https://research.google.com/pubs/jeff.html
https://arxiv.org/abs/1712.01208
I know the morning paper (https://blog.acolyer.org/), but it is not so interactive, in the sense that you can't have discussions with peers and it turns into just passive reading.
KTH, Stockholm's main technical university, has an open reading group too, open to everyone. Probably if you have a big enough university in your area they have something similar.
Alternatively try reddit, ie.: on r/machinelearning. That said, the value of doing this in real life, in front of a whiteboard, is worth going extra mile and find someone to team up with.
Somewhat related,a general purpose annotation platform is http://hypothes.is - a great feature is that PDF annotations are location independent because they use some kind of fingerprint to identify the document.
(So easy to be lazy w/ the infinite world of distractions available.)
List of papers we've discussed: https://github.com/pmiller10/cambridge-ai
Mailing list: http://mailman.mit.edu/mailman/listinfo/sipb-deeplearning
What are the best scholarly papers you read in 2017?
I'm hoping for some discussion on there.
https://news.ycombinator.com/item?id=15991373
I'm not sure when people started making this mistake, but it's one of my more cringe-worthy ones to see.