Hiring a 2-year #postdoc position funded by @cities_nyuad. Join @EtienneWasmer and me to work on an exciting project related to Knowledge Graphs, Machine Learning, Crowdsourcing, and Spatial Data Analysis.
https://t.co/hgspdFL3C2
RT, please
Here it is: 6 years of work, 6 authors, almost 6k years of human history, 2.10^6 famous individuals in a ready-to-use geolocalized database. The article is available online here https://t.co/Pr9izKpKHf PDF here https://t.co/Kgw0dtqAnQ. @JbEymeoud@gergaud_econ@palaashbhargava
We’re excited to announce that the Fall 2022 MS & PhD applications are now open! We're ready for the next cohort of future Data Scientists! To apply/find more information, please visit our MS & PhD Applications landing page: https://t.co/sLFpEdtJmZ
We're excited to announce ***HCI+NLP***: the first workshop on Bridging Human-Computer Interaction and Natural Language Processing, virtual at EACL this April!
Website: https://t.co/Ii186lAKoi
Seriously impressive work on image compression using GANs. Replacing high-frequency components with slight but believable variations, eg see the 3rd example on the prj page https://t.co/T6VIvmH3zJ (h/t to @sedielem).
Stratos and @MarkCallaghanDB will be presenting a tutorial on state-of-the-art solutions and open problems for the design of key-value storage engines at @SIGMOD2020 PDF available here: https://t.co/vTAoH4WwWi
The next Research Showcase will be live-streamed on Wednesday, May 20, at 9:30 AM PDT/16:30 UTC.
This month we will learn about machine learning systems that rely on human supervision for their learning and optimization.
Tune in via the YouTube stream: https://t.co/Zs2O8tQqYw
1/7 Do word embeddings really say that man is to doctor as woman is to nurse? Apparently not. Check out this thread for a description of a short paper I co-wrote with Malvina Nissim and Rob van der Goot, available here: https://t.co/1ElUWOxs8x #NLProc#bias
To remain the world leader in artificial intelligence, China relies on young “data labelers” who work eight hours a day processing massive amounts of data. https://t.co/QpyjgSrz5R
So I was slightly involved with this story: https://t.co/ohZhpyqmjo
TLDR: I've read the internal Amazon document in the CNBC story. @Werner is correct. When I told the reporter that it wasn't a big deal he called me on the phone and flipped out.
Papers with Code: A searchable site that links machine learning papers on ArXiv with code on GitHub. They also tag any framework libraries used, along with other info like GitHub stars. I think such a feature would be a nice addition to ArXiv-Sanity. https://t.co/Q5kUhsqIED