[AlexTelon]

A very interesting read indeed!

Besides HN how can one find great papers like this? How did you find out about it?

[godelmachine]

1) The Morning Paper - blog.acolyer.org - A new super interesting paper review everyday

2) This is my personal ritual. Every weekday I check out recent entries in "Hardware architectures" and "Emerging Technologies" section of arXiv.org Many other sections are gaining traction with me, like Database.

Hope this helps.

[juanmirocks]

Thank you for The Morning Paper

[travmatt]

You'd also like Fermat's Library

[godelmachine]

Oh yes, I do read Fermat's library, but that's more into pure mathematics side, which means I need to put in 3X the efforts to understand the papers, which I do.

[dekayed]

I'd recommend taking a look at Papers We Love

https://github.com/papers-we-love/papers-we-love

[rmk]

Loved the two-minute papers channel that I came across on this list. Thanks!

[sulam]

I found this paper after reading through Jeff Dean's talk at NIPS. I recommend that, too, obviously!

http://learningsys.org/nips17/assets/slides/dean-nips17.pdf

You can generally find a paper for each section.

[CaHoop]

I saw this paper on reddit.com/r/machinelearning - usually the more interesting ML papers are posted there.

Additionally, there is http://www.arxiv-sanity.com/ which sorts new machine learning papers by popularity.