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Deep Learning Weekly - 🤖 - Issue #68: NIPS Madness, Differential Privacy, Learned Index Structures, NLP and much more...

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Hey Folks, after a full week of NIPS madness, we worked through all the news, gossip and papers and p
 
December 14 · Issue #68 · View online
Deep Learning Weekly
Hey Folks,
after a full week of NIPS madness, we worked through all the news, gossip and papers and present you our selection.
Starting off with a journalists view on the conference itself, we move on with some interesting work on artwork personalization and Apples use of differential privacy. We then move on to this years works in NLP, small dataset experiments, Apples new machine learning tool, a GAN library for TensorFlow and head right into research with the NIPS 2017 proceedings, machine learning for systems, deep learning for index structures and a paper on adversarial domain shifts and how to avoid them.
As always, we hope you’ll enjoy reading as much as we did and would appreciate you sharing this newsletter with friends and colleagues.
See you next week!

Industry
All the buzz at AI’s big shindig
Artwork Personalization at Netflix
Learning with Privacy at Scale
Learning
Deep Learning for NLP, advancements and trends in 2017
RMNIST with annealing and ensembling
Libraries & Code
Turi Create simplifies the development of custom machine learning models
TFGAN: A Lightweight Library for Generative Adversarial Networks
NVIDIA/pix2pixHD: Generating and manipulating 2048x1024 images with conditional GANs
Papers & Publications
NIPS 2017 Proceedings
Machine Learning for Systems and Systems for Machine Learning
The Case for Learned Index Structures
Grouping-By-ID: Guarding Against Adversarial Domain Shifts
Born Again Neural Networks
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