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Interested in reproducibility at
#icml2018? Come see our poster on repo2docker and our analysis of#nips2017 papers on GitHub on@mybinderteam at the reproducibility workshop today at 10 in room C2! -
"Leaning a Multi-View Stereo Machine" allows one to jointly reason about shape priors while conforming to geometric constraints.
#machineleaning#nips2017 https://nips.cc/Conferences/2017/Schedule?showEvent=8833 …@NipsConferencepic.twitter.com/5Rx4yoikhL
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#nips2017 Meta Learning Symposium videos are now available here: http://metalearning-symposium.ml/ Thanks to Risto Miikkulainen, Quoc Le, Kenneth Stanley, and Chrisantha Fernando for organizing! -
Videos are now up for our
#nips2017 workshop on#DeepLearning for physical sciences. https://dl4physicalsciences.github.io/ pic.twitter.com/ZS4y196FS9
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For anyone who missed the
#NIPS2017 tutorials, all of the videos are now up! https://nips.cc/Conferences/2017/Schedule?type=Tutorial … -
Learn how the Now Playing feature works on the Pixel 2 with "Now Playing: Continuous low-power music recognition", a paper published at the
#NIPS2017 "Machine Learning on the Phone and other Consumer Devices" workshop → https://research.google.com/pubs/pub46522.html …https://twitter.com/googleresearch/status/938107184231071744 …
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Videos available for
#NIPS2017 Workshop on Approximate Inference https://www.youtube.com/playlist?list=PLsatQfvo0v3sUhi3ijRme9MyqwLL5EOiG … -
Awesome summary (43 pages) of highlights from
#NIPS2017 [PDF] https://cs.brown.edu/~dabel/blog/posts/misc/nips_2017.pdf …#BigData#DataScience#NeuralNetworks#MachineLearning#DeepLearning#AI#ReinforcementLearningpic.twitter.com/DpsD4VkN1o
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The NIPS Foundation has posted a "Statement on inappropriate behavior" at
#NIPS2017. See https://nips.cc/ -
A few folks asked, and so here’s a transcript of the talk I gave at the
@black_in_ai workshop dinner at#NIPS2017. Thanks again to the organizers and other presenters for a great day! https://medium.com/@sindero/my-talk-at-the-inaugural-black-in-ai-workshop-dinner-18ccd805062d … -
Elated to find
@katecrawford's fantastic#NIPS2017 keynote, "The Trouble with Bias," online! https://www.youtube.com/watch?v=fMym_BKWQzk … -
ICYMI: the recording of my
#NIPS2017 talk about#energy,#fusion, and#machinelearninghttps://youtu.be/L1jLpkvKPh0 -
Slides from our
#NIPS2017 Tutorial on Deep Learning with@scott_e_reed &@NandoDF posted here: http://goo.gl/b6QBBh pic.twitter.com/y6aWK1vRh2
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All my
#NIPS2017 slides in one place! Keynote main conf: http://bit.ly/2BFVpyg Meta-learning symp: http://bit.ly/2yiunXz Robot Learning ws: http://bit.ly/2AMsPYB Learning in Transportation ws: http://bit.ly/2yieBfn [w/Greg Kahn] Hierarchical RL ws:http://bit.ly/2AxFtOE -
http://johnguerra.co/viz/influentials/NIPS2017/ … Interesting visualization of how much Twitter-based influence/mindshare people/organizations have on the field of
#ArtificialIntelligence right now.#NIPS2017 pic.twitter.com/YIHGo98StW
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Awesome notes from
#NIPS2017 by David Abel, https://cs.brown.edu/~dabel/blog/posts/misc/nips_2017.pdf … -
"Deep Learning: Practice and Trends"
#nips2017 great 2hr tute giving basic intro to classic building blocks, autoregressive models, domain alighnment, learning to learn, graph nets & program induction. https://www.youtube.com/watch?v=YJnddoa8sHk … -
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Scikit-learn and nilearn: Democratisation of machine learning for brain imaging https://www.slideshare.net/GaelVaroquaux/scikitlearn-and-nilearn-democratisation-of-machine-learning-for-brain-imaging … Slides of my talk at
#mednips#NIPS2017 -
Interesting idea: Report compute resources needed to reproduce experiment. I saw this architecture search poster at the meta-learning workshop.
#nips2017 https://arxiv.org/abs/1711.04528 pic.twitter.com/faf8dfm0UG
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