Our latest initiative to expose hidden ๐s in AI research! Join us for the #APaperADay AI paper Reading Challenge beginning 23 July as we uncover the latest breakthroughs across AI domains.๐ค ๐Sign up๐https://t.co/mHOj4ovBjb #AI#ArtificialIntelligence#Academia#academictwitter
If you liked the weekly AI paper curation that happened for #APaperADay, sign yourselves up on https://t.co/uUbx8doJtE because we'll be continuing the paper curations on the newsletter over there๐จโ๐๐ฉโ๐
#APaperADay Reading Challenge ends tomorrow!๐๐Amazed to see everyone come tgt and read. Hopefully all of you were signed up for the challenge, cause we just sent out an exclusive reading list to close things off! ๐
In case any of you signed up late for the #APaperADay reading challenge, and to catch up on any of the older papers, we've put them up on reddit https://t.co/439099WgMB & on the webpage as well https://t.co/LFRqM2e6Tu! Happy reading folks!
How do you choose the hyperparameters of an NN model? While current methods revolve around trial and error, this becomes infeasible when the number of hyperparameters is large. Find out more in our 2 min TLDR: https://t.co/YgOMUKE2lJ
Reproducible research is something we care about a lot. ๐๐ #APaperADay Reading Challenge, and our newest feature: Opening Issues on papers are both initiatives to address this problem. #RT and read more here https://t.co/GRPiaTxdVf #AcademicTwitter#ReproducibleResearch#AI
Our latest initiative to expose hidden ๐s in AI research! Join us for the #APaperADay AI paper Reading Challenge beginning 23 July as we uncover the latest breakthroughs across AI domains.๐ค ๐Sign up๐https://t.co/mHOj4ovBjb #AI#ArtificialIntelligence#Academia#academictwitter
Got 2 minutes? read a quick summary to discover a new method that helps us interpret model decisions and also reveal unintended gender and racial biases in models. https://t.co/hDghgVkhUI
What do you think about opening up a discussion channel for the #APaperADay Reading Challenge, we're considering some of these channels. RT and let us know which one you prefer. Reply if you think there's a better solution! #AcademicTwitter#nurtureai
Day 1 of #apaperaday by @NurtureAI had me reading a paper that talks about an algorithm for merging two images into one, or transitioning from one image to another when both images are not of the same object. My summary: https://t.co/QXkVenCCTS
Happy Tuesday! Read our top pick: Neural Best Buddies paper (short summary included). Relate two different pictures by a ranking function based on deep feature maps. https://t.co/6adDyDaj3k
Video: https://t.co/fNvnrXeGWq
#APaperADay
Besides the awesome name, we love the idea of connecting similar features across two different images, itโs akin to how humans relate two different objects through generalization. We see possible extensions of this research into art, taxonomy, human behavior and many more. ๐๐
Announcing @NurtureAI FastAIMLSundays.
Everyone from @AISaturdays@remoteML community is welcome to join.
Starting 12th August, I'll host a weekly @fastdotai ML Lecture (Online) Discussions.
Subscribe below to be Notified:
https://t.co/SayzEjHbSL
Vote for the Timings below:
2-min TLDRs for our fav paper of the week: Discover a novel and quick method to solve a key problem in generating synthetic images for CV tasks. https://t.co/08CKKhWg4v