Data Science by ODS.ai 🦜
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First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @malev
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#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
Deep Learning for Matching in Search and Recommendation

PDF: http://www.comp.nus.edu.sg/~xiangnan/sigir18-deep.pdf

#sigir2018 #Tutorial
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
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
Facebook Research at ICML 2018

Seventeen papers by #FAIR at the #ICML2018

https://research.fb.com/facebook-research-at-icml-2018/
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
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/