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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 -
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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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 -
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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Machine Learning and the Physical Sciences
#NeurIPS2019 will live stream https://slideslive.com/38922040/machine-learning-and-the-physical-sciences … -
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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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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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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#NeurIPS2019 is sadly coming to an end and I just wanted to remark on how great the venue is: Canada Place is remarkably well-located, the convention center is walkable to so much good stuff in the city. I enjoy that we get to mingle with locals that take evening strolls here. pic.twitter.com/GjpvEte86u
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Neural networks grown and self-organized by noise Inspired by the development of the mammalian visual system, they propose an way to grow and self-organize a retinotopic pooling architecture that behaves like CNNs. Found this weird work at
#NeurIPS2019: https://papers.nips.cc/paper/8465-neural-networks-grown-and-self-organized-by-noise.pdf …pic.twitter.com/7WKEErutFQ
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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 … -
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 -
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 -
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 -
At
#NeurIPS2019 I spoke at the Bayesian Deep Learning workshop on the central limit theory for multiple hidden layers and then on the panel. Slides and video here: http://bayesiandeeplearning.org -
“100x faster Hyperparameter Search Framework with Pyspark” by Rahul Agarwal https://link.medium.com/2wwB0KPgL3
#NeurIPS2019#DataScience#MachineLearning#hyperparameters -
Good time to remind about this paper from the
#NeurIPS2019: "Avoiding a Tragedy of the Commons in the Peer Review Process"#CVPR2020#reviewshttps://twitter.com/ducha_aiki/status/1223657778125905921 …
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