Accelerating the AI research and implementation process

Joined September 2017
Our latest initiative to expose hidden 💎s in AI research! Join us for the #APaperADay AI paper Reading Challenge beginning 23 July as we uncover the latest breakthroughs across AI domains.🤠🎓Sign up👉apaperaday.nurture.ai #AI #ArtificialIntelligence #Academia #academictwitter
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#APaperADay Reading Challenge ends tomorrow!🎊🎊Amazed 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! 😁
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If you liked the weekly AI paper curation that happened for #APaperADay, sign yourselves up on nurture.ai because we'll be continuing the paper curations on the newsletter over there👨‍🎓👩‍🎓
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Women Also Snowboard: Overcoming Bias in Captioning Models 2-min summary: nurture.ai/papers/women-also…
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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 bit.ly/2OzMNMZ & on the webpage as well bit.ly/2AC2AYN! Happy reading folks!
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What hidden gems or under-appreciated papers do you wish to be included in next week's #apaperaday challenge? Tweet to us!
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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: nurture.ai/papers/drmad-dist…
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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. nurture.ai/papers/interpreta…
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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
19%Discord
70%Slack
11%Gitter
47 votes • Final results
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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: buff.ly/2Lig6W5
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. nurture.ai/papers/neural-bes… Video: youtube.com/watch?v=tYqkMGaG… #APaperADay
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Besides the awesome name, we love the idea of connecting similar features across two different images, it’s 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. 🎓🎓
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Which #AI or #ML paper did you pick to read today? Let us know in your replies! 📚
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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: tinyletter.com/sanyambhutani… Vote for the Timings below:
22%Saturday 2300 hours GMT
19%Sunday 0300 hours GMT
30%Sunday 0800 hours GMT
28%Sunday 1200 hours GMT
162 votes • Final results
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Sending out our first few picks for #APaperADay later today! Your instructions are simple. READ. TWEET. BLOG. REPEAT. 🤣
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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. nurture.ai/papers/transfer-l…
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Someone asked you a question about your paper "Taco: Learning Task Decomposition Via Temporal Alignment for Control" here bit.ly/2uLJj0I @KyriacosShiarli @shimon8282 @markus_with_k @IngmarPosner
Join us in the next cycle of @AISaturdays and be part of a global community driven movement, enabling everyone to be kickass in AI! xitter.cf/AISaturdays/status/101…
We've got about 100cities right now since we launched AI Saturdays Cycle2🙌🙌Amazing! Join the global movement empowering anyone and everyone to be kickass in AI here nurture.ai/ai-saturdays #AISaturdays #DeepLearning #AI #ArtificialIntelligence #MachineLearning #GlobalMovement
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