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At
#NeurIPS2019, talking to a guy from DeepMind about how I can't reproduce their results because it's so resource intensive. "It's not too bad actually, we only use 16 GPUs, it's not like we use a cluster of TPUs or anything." pic.twitter.com/jERJbjH1gQ -
If you weren't able to make it to
#NeurIPS2019, head over to our blog for a recap of our favorite self-driving-related papers from the conference. https://medium.com/@LyftLevel5/neurips-2019-digest-feeae8be396d … -
One theme I noticed at
#NeurIPS2019 was the need for the ML community to move beyond our narrow focus on prediction. I heard this in 3 very different talks. [Thread]Prikaži ovu nit -
What a week


! I loved meeting so many of you at #NeurIPS2019 - the ML community is truly wonderful. Checkout all my collected visual notes
& feel free to share: https://github.com/RobertTLange/conference-school-notes/tree/master/2019-12-NeuRIPS …pic.twitter.com/LMn3uE4kGe
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Videos of all the great talks from the workshop are now available on the webpage, along with the accepted papers! https://pgr-workshop.github.io/
#NeurIPS2019 -
Three good summaries of
#NeurIPS2019 for those who couldn't make it: - By Andrey@andrey_kurenkov: at https://thegradient.pub/neurips-2019-too-big/ … - By Alex@kolchinski at https://alexkolchinski.com/2019/12/30/neurips-2019/ … - By Chip@chipro athttps://huyenchip.com/2019/12/18/key-trends-neurips-2019.html … -
Machine Learning and the Physical Sciences
#NeurIPS2019 will live stream https://slideslive.com/38922040/machine-learning-and-the-physical-sciences … -
My
#NeurIPS2019 invited talk, "Agency + Automation: Designing Artificial Intelligence into Interactive Systems" is online here: https://slideslive.com/38921798/agency-automation-designing-artificial-intelligence-into-interactive-systems …Prikaži ovu nit -
A first for me at a conference: more invited talks by women named Susan than any other category...
#NeurIPS2019 pic.twitter.com/bAOSH428vN
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Very detailed notes of
#NeurIPS2019. 70 pages by David Abel. https://david-abel.github.io/notes/neurips_2019.pdf …pic.twitter.com/6S41E0fJp1
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Graph representation learning is the most popular workshop of the day at
#NeurIPS2019 . Amazing how far the field has advanced. I did not imagine so many people would get into this when I started working on graph neural nets back in 2015 during an internship. Time flies... pic.twitter.com/H8LM0BMvK4
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This paper had the biggest subjective "wow" factor for me at
#NeurIPS2019: "Deep Set Prediction Networks" by Yan Zhang, Jonathon Hare, Adam Prügel-Bennett https://arxiv.org/abs/1906.06565 . The idea is very simple, and yet I find it mind-blowing.Prikaži ovu nit -
My AI art online gallery for 2019 is finally live

Check out all the art, music and design projects submitted to our #NeurIPS4Creativity Workshop
http://www.aiartonline.com
#NeurIPS2019#AIart#CreativeAIpic.twitter.com/OYAa1jQ1Wa
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I had a great time at the
#NeurIPS2019 Bayesian Deep Learning Workshop! My talk on "Using Loss Surface Geometry for Practical Bayesian Deep Learning" starts at 6m40s: https://slideslive.com/38921875/bayesian-deep-learning-2 … -
And we should not back away from challenges. I present some of these views in my talk at the
#NeurIPS2019 Bayesian Deep Learning Workshop, starting at 6m40s: https://slideslive.com/38921875/bayesian-deep-learning-2 … 18/18Prikaži ovu nit -
Want to catch up on some latest Deep RL work? Here is a zip file with all the camera-ready papers from the
#NeurIPS2019 Deep RL Workshop! https://drive.google.com/open?id=1xdf3ia2VocviPR0q1uwH49h33bVVlNmp … -
I had a great time presenting my work on imitation from observation at WIML! Here are links to my slides and video :)
#NeurIPS2019 Slides: https://tinyurl.com/v37j5h4 Video (starts around 8 mins): https://tinyurl.com/u97hh8u pic.twitter.com/ZiR4QEEm9R
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Bayesian deep learning workshop talks from NeuRIPS 2019 are already available online: https://slideslive.com/s/yarin-gal-22751 …
#BDL2019#NeurIPS2019 -
1/ Neural networks are Gaussian Processes --- the Poster Edition from
#NeurIPS2019 last week. In case you missed it, here’s a twitter version of the poster presentation, following the format of@colinraffel; and here’s the previous tweet thread https://twitter.com/TheGregYang/status/1202608248534077440?s=20 …pic.twitter.com/lHJgH43gqa
Prikaži ovu nit -
[Impressive NeurIPS papers #2] "CNN^{2}: Viewpoint Generalization via a Binocular Vision," a brain-inspired and simple way to improve the generalizability of CNNs. https://papers.nips.cc/paper/8473-cnn2-viewpoint-generalization-via-a-binocular-vision.pdf … Slides: http://www.cs.nthu.edu.tw/~shwu/pubs/shwu-neurips-19-slides.pdf …
#NeurIPS2019 pic.twitter.com/Z1ErFhCs5m
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