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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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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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Machine Learning and the Physical Sciences
#NeurIPS2019 will live stream https://slideslive.com/38922040/machine-learning-and-the-physical-sciences … -
#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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“100x faster Hyperparameter Search Framework with Pyspark” by Rahul Agarwal https://link.medium.com/2wwB0KPgL3
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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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Getting started with Jovian ml ,a collaborative platform for all your data science projects
#DataScience#MachineLearning#neurips2019 https://medium.com/wids-mysore/getting-started-with-jovian-ml-the-platform-for-all-your-data-science-projects-b9b2a9a5b41e … -
I just came across these notes on
#NeurIPS2019 -> 70 pages of research summaries. Thanks to these notes I discovered@esztervertes work on successor representations and state uncertainty.https://twitter.com/dabelcs/status/1206237428626923520 …
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"Self-Driving Research in Review: NeurIPS 2019" – short reviews of papers from Machine Learning for Autonomous Driving Workshop and main conference by
@pondruska and@viglovikov from@lyftlevel5 https://medium.com/@LyftLevel5/neurips-2019-digest-feeae8be396d …#NeurIPS2019 pic.twitter.com/XI0ylQlPXw
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Nuria Oliver
@nuriaoliver, renowned AI researcher &#ELLIS board member shared ELLIS' mission & new initiative announced at#NeurIPS2019 to retain AI talent in Europe. Check out#Robinly interview http://bit.ly/2vyB0cH &#LeadersInAI podcast https://apple.co/2S3SbKE -
Reminder to join us on Monday night at 6pm Eastern to learn about
#NeurIPS2019 and why conferences rule (and how to capitalize on the experience) from@kammitama.https://twitter.com/VT_WiMLDS/status/1220114633505345537 … -
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 … -
■ Research Blog 公開 ■ 先月カナダで行われた
#機械学習 の国際学会#NeurIPS2019 に関する 参加報告レポートを公開! ワークショップとメンタリングセッションで AILab研究員が行った3件の研究発表の詳細に加え、 今回の会議の研究動向をご紹介しています
https://cyberagent.ai/blog/pr/information/11709/ … -
Survey of machine-learning experimental methods at
#NeurIPS2019 and#ICLR2020 http://gael-varoquaux.info/science/survey-of-machine-learning-experimental-methods-at-neurips2019-and-iclr2020.html … Results of a poll@bouthilx and I ran, with some analysis and discussion of statistical power and reproducibility.pic.twitter.com/FhebPSOCRW
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