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A very interesting read indeed! Besides HN how can one find great papers like this? How did you find out about it?
by AlexTelon 9y ago
A very interesting read indeed!
Besides HN how can one find great papers like this? How did you find out about it?
- CaHoop 9y agoI 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/ http://www.arxiv-sanity.com/ which sorts new machine learning papers by popularity.
- sulam 9y agoI 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 http://learningsys.org/nips17/assets/slides/dean-nips17.pdf You can generally find a paper for each section.
- dekayed 9y agoI'd recommend taking a look at Papers We Love https://github.com/papers-we-love/papers-we-love https://github.com/papers-we-love/papers-we-love
- rmk 9y agoLoved the two-minute papers channel that I came across on this list. Thanks!
- godelmachine 9y ago1) 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 9y agoThank you for The Morning Paper
- travmatt 9y agoYou'd also like Fermat's Library
- godelmachine 9y agoOh 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.