My Favorite Papers of 2017(nicolabortignon.com)
nicolabortignon.com
My Favorite Papers of 2017
http://www.nicolabortignon.com/my-favorite-4-papers-of-2017/
16 comments
Huge, massive, credibility-undercutting typo in the slot pulling analogy: "you loose."
I'm not sure when people started making this mistake, but it's one of my more cringe-worthy ones to see.
I'm not sure when people started making this mistake, but it's one of my more cringe-worthy ones to see.
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.
I wish Apple was sharing even more, and not just on Machine learning.
TFX is indeed quite a massive one. Well played Google
Website broken with Firefox on Android.
My favorite is the Jeff Dean paper from NIPS in using NN for data base indexes.
You are referring to this http://learningsys.org/nips17/assets/slides/dean-nips17.pdf, right?
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
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
There is a paper for the index structure part; several authors.
https://arxiv.org/abs/1712.01208
https://arxiv.org/abs/1712.01208
Ah, great catch! thanks for sharing
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.
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.
If you're in Boston, we have a reading group for machine learning papers. We'll start up again on the 9th.
List of papers we've discussed: https://github.com/pmiller10/cambridge-ai
Mailing list: http://mailman.mit.edu/mailman/listinfo/sipb-deeplearning
List of papers we've discussed: https://github.com/pmiller10/cambridge-ai
Mailing list: http://mailman.mit.edu/mailman/listinfo/sipb-deeplearning
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.
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.
Not exactly what you're looking for, but maybe you or someone else might be interested on this:
http://fermatslibrary.com
Very interesting, thanks!
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.
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.
Yeah, I'd be interested in this too. Something with a lot of discussion, smallish group, to create a sense of social obligation...
(So easy to be lazy w/ the infinite world of distractions available.)
(So easy to be lazy w/ the infinite world of distractions available.)
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