My Favorite Papers of 2017

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.

Not exactly what you're looking for, but maybe you or someone else might be interested on this: http://fermatslibrary.com

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.)

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

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.

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