#DeepMind new release: Neural Processes (#NPs) that generalise #GQN ’s training regime to other few-shot prediction tasks such as regression and classification
Arxiv 1: https://arxiv.org/abs/1807.01622
Arxiv 2: https://arxiv.org/abs/1807.01613
#ICML2018
Arxiv 1: https://arxiv.org/abs/1807.01622
Arxiv 2: https://arxiv.org/abs/1807.01613
#ICML2018
How #Netflix used data science to make scripts for the shows:
Video: https://www.youtube.com/watch?v=qXo9jTxfqJ8&feature=youtu.be
Github: http://netflix.github.io
Really great video, showing practical approach, with some focus on human interactions and integrating data insights into the product.
#youtube #netflixresearch
Video: https://www.youtube.com/watch?v=qXo9jTxfqJ8&feature=youtu.be
Github: http://netflix.github.io
Really great video, showing practical approach, with some focus on human interactions and integrating data insights into the product.
#youtube #netflixresearch
YouTube
Netflix Data: From Script to Screen - Netflix Los Angeles - June 2017
Ever wonder how Netflix leverages data and analytics to influence the shows and content they create? Hear it straight from Netflix's LA-based content data team themselves. Netflix’s cast of data professionals share aspects of their processes and tools used…
👍1
Udacity has published a github repo for the Deep Reinforcement Learning Nanodegree program
Repo: https://github.com/udacity/deep-reinforcement-learning
Nanodegree: https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893
#dl #udacity #mooc #course #github #rl
Repo: https://github.com/udacity/deep-reinforcement-learning
Nanodegree: https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893
#dl #udacity #mooc #course #github #rl
GitHub
GitHub - udacity/deep-reinforcement-learning: Repo for the Deep Reinforcement Learning Nanodegree program
Repo for the Deep Reinforcement Learning Nanodegree program - udacity/deep-reinforcement-learning
Deep Learning for Matching in Search and Recommendation
PDF: http://www.comp.nus.edu.sg/~xiangnan/sigir18-deep.pdf
#sigir2018 #Tutorial
PDF: http://www.comp.nus.edu.sg/~xiangnan/sigir18-deep.pdf
#sigir2018 #Tutorial
Glow by #OpenAI: Better Reversible Generative Models
Project link: https://blog.openai.com/glow/
Video: https://d4mucfpksywv.cloudfront.net/research-covers/glow/videos/both_loop_new.mp4
Project link: https://blog.openai.com/glow/
Video: https://d4mucfpksywv.cloudfront.net/research-covers/glow/videos/both_loop_new.mp4
Openai
Glow: Better reversible generative models
We introduce Glow, a reversible generative model which uses invertible 1x1 convolutions. It extends previous work on reversible generative models and simplifies the architecture. Our model can generate realistic high resolution images, supports efficient…
Dynamic few-shot visual learning without forgetting by Gidaris and Komodakis
The authors share even configs and learning rate schedules for experiments in paper.
Github: https://github.com/gidariss/FewShotWithoutForgetting
#cvpr2018
The authors share even configs and learning rate schedules for experiments in paper.
Github: https://github.com/gidariss/FewShotWithoutForgetting
#cvpr2018
GitHub
GitHub - gidariss/FewShotWithoutForgetting
Contribute to gidariss/FewShotWithoutForgetting development by creating an account on GitHub.
SwitchNorm: add BatchNorm + InstanceNorm + GroupNorm with a learnable blend at each layer.
Paper about optimal normalization in neural nets continues. Plots + code
Arxiv: https://arxiv.org/abs/1806.10779
#dl #normalization
Paper about optimal normalization in neural nets continues. Plots + code
Arxiv: https://arxiv.org/abs/1806.10779
#dl #normalization
And it would be a crime to leave #ICML2018 out.
It is held in Stockholm now, papers are available at: http://proceedings.mlr.press/v80/
#conference
It is held in Stockholm now, papers are available at: http://proceedings.mlr.press/v80/
#conference
Proceedings of Machine Learning Research
Proceedings of the 35th International Conference on Machine Learning Held in Stockholmsm"assan, Stockholm Sweden on 10-15 July 2018 Published as Volume 80 by the Proceedings of Machine Learning Research on 03 July 2018. Volume Edited by: Jennifer Dy Andreas…
Facebook Research at ICML 2018
Seventeen papers by #FAIR at the #ICML2018
https://research.fb.com/facebook-research-at-icml-2018/
Seventeen papers by #FAIR at the #ICML2018
https://research.fb.com/facebook-research-at-icml-2018/
#Nvidia developed approach for cleaning noisy photoes. This comes extremely handy in the radiology.
Link: https://news.developer.nvidia.com/ai-can-now-fix-your-grainy-photos-by-only-looking-at-grainy-photos/?ncid=--45511
#dl #cv
Link: https://news.developer.nvidia.com/ai-can-now-fix-your-grainy-photos-by-only-looking-at-grainy-photos/?ncid=--45511
#dl #cv
NVIDIA Developer Blog
AI Can Now Fix Your Grainy Photos by Only Looking at Grainy Photos | NVIDIA Developer Blog
What if you could take your photos that were originally taken in low light and automatically remove the noise and artifacts? Have grainy or pixelated images in your photo library and want to fix them?
ICML 2018 Accepted Papers Stats
Medium post with the meta statistics about accepted papers.
https://medium.com/machine-learning-in-practice/icml-2018-accepted-papers-stats-339f1cad5a55
#ICML2018 #meta #statistics
Medium post with the meta statistics about accepted papers.
https://medium.com/machine-learning-in-practice/icml-2018-accepted-papers-stats-339f1cad5a55
#ICML2018 #meta #statistics
Medium
ICML 2018 Accepted Papers Stats
The Thirty-fifth International Conference on Machine Learning (ICML) is being held this week in Stockholm Sweden. ICML is one of the most…
Visitor's highlights on #ICML2018
[ICML 2018] Day 2 - Representation Learning, Networks and Relational Learning
https://gmarti.gitlab.io/ml/2018/07/11/icml18-day-2.html
[ICML 2018] Day 2 - Representation Learning, Networks and Relational Learning
https://gmarti.gitlab.io/ml/2018/07/11/icml18-day-2.html
Ian Goodfellow (Google Brain) will have a free webinar on Adversarial Machine Learning
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&partnerref=twitterShareFromReg&ms=1531251848082&eventid=1633807&sessionid=1&key=8B7A8F4B65B54C35752F8A6FE23F641A®Tag=&sourcepage=register
#webinar #google #gbrain
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&partnerref=twitterShareFromReg&ms=1531251848082&eventid=1633807&sessionid=1&key=8B7A8F4B65B54C35752F8A6FE23F641A®Tag=&sourcepage=register
#webinar #google #gbrain
Learning World Models: The Next Step Towards AI
Video of Yann LeCun's keynote speech. First-hand expectations of closeness of real AI. Spoiler: still not even near yet.
https://www.facebook.com/722677142/posts/10155402036352143/
Video of Yann LeCun's keynote speech. First-hand expectations of closeness of real AI. Spoiler: still not even near yet.
https://www.facebook.com/722677142/posts/10155402036352143/
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Takeaways from Netflix’s Personalization Workshop 2018
https://medium.com/rtl-tech/my-takeaways-from-netflixs-personalization-workshop-2018-f564a19437b6
#recommendation #netflix #summary
https://medium.com/rtl-tech/my-takeaways-from-netflixs-personalization-workshop-2018-f564a19437b6
#recommendation #netflix #summary
Medium
Takeaways from Netflix’s Personalization Workshop 2018
For the third time Netflix organized its Personalization, Recommendation and Search Workshop. It was awesome to get invited for this event…