Live : iclr conference 2019

https://www.facebook.com/iclr.cc/videos/2261061694154984/

@ArtificialIntelligenceArticles

"Wasserstein GAN"

Written by James Allingham: https://www.depthfirstlearning.com/2019/WassersteinGAN

#DeepLearning #GenerativeModels #GenerativeAdversarialNetworks

The Biological Roots of Intelligence
Imaging, behavioral, and genetic data yield clues to what’s behind effective thinking.
https://www.the-scientist.com/features/the-biological-roots-of-intelligence-64931

This new scholarship program, announced at [F8](https://www.f8.com/), the Facebook Developer Conference in San Jose, will enable students to acquire skills in Federated Learning, Differential Privacy, and Encrypted Computation with the benefit of robust community support from Udacity. You will learn how to use the newest privacy-preserving technologies, such as [OpenMined’s](https://openmined.org/) PySyft. [PySyft](https://github.com/OpenMined/PySyft) extends [PyTorch](https://pytorch.org/) and other deep learning tools with the cryptographic and distributed technologies necessary to safely and securely train AI models on distributed private data while maintaining users’ privacy. Students will also have the opportunity to earn their way to a full scholarship to either the[ Deep Learning Nanodegree program](https://www.udacity.com/course/deep-learning-nanodegree--nd101) or the [Computer Vision Nanodegree program](https://www.udacity.com/course/computer-vision-nanodegree--nd891) with Udacity.

#FacebookAI #Udacity #AIScholarship #PrivateAI

Free datasets of russian speech
https://habr.com/ru/post/450760/

Best paper Award ICLR 2019


https://iclr.cc/Conferences/2019/Awards

What's the verdict on Tensorflow Federated (TFF)? Anyone have a chance to use this on distributed data sets yet?
https://medium.com/tensorflow/introducing-tensorflow-federated-a4147aa20041

Universal Transformers

Blog by Mostafa Dehghani : https://mostafadehghani.com/2019/05/05/universal-transformers/

#artificialintelligence #deeplearning #technology

"Deep Generative Models for Graphs: Methods & Applications"

Slides by Jure Leskovec :
https://i.stanford.edu/~jure/pub/talks2/graph_gen-iclr-may19-long.pdf

#artificialintelligence #deeplearning #machinelearning #ICLR2019

BREAKING: MIT's new AI predicts breast cancer equally well for white & black women.

The model can look at a mammogram (left) & predict cancer (right) up to 5 years in advance. https://www.csail.mit.edu/news/using-ai-predict-breast-cancer-and-personalize-care

Videos of all sessions at ICLR 2019 (including live stream)

https://www.facebook.com/pg/iclr.cc/videos/?ref=page_internal

MAESTRO: awesome new dataset from Google Magenta of piano performance with audio and corresponding MIDI collected from Yamaha Disklaviers.

Nice presentation at ICLR on "wav2midi2wav" using this dataset:
"Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset" by Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, Douglas Eck
https://openreview.net/forum?id=r1lYRjC9F7

https://magenta.tensorflow.org/datasets/maestro

Top #DataScience and #MachineLearning
#Methods Used in 2018, 2019


https://www.kdnuggets.com/2019/04/top-data-science-machine-learning-methods-2018-2019.html

#fintech #insurtech #AI #ArtificialIntelligence #DeepLearning

#RP Mariya Toneva, Excited to present our work on understanding catastrophic example forgetting at ICLR on Wednesday from 11-1pm! Poster #44. Joint work with Alessandro Sordoni, Remi Tachet, Adam Trischler, Yoshua Bengio, and Geoff Gordon
Paper: https://bit.ly/2H8yQUg
Code: https://bit.ly/2vMH6mw

#ICLR #ICLR2019 #MachineLearning

https://www.humanbrainproject.eu/en/silicon-brains/how-we-work/hardware/

EU Human Brain Project (HBP) aimed at understanding cognition and human brain, budget €1 billion for 2013-2023, 100 universities, 500 scientists.

Exponential Family Estimation via Adversarial Dynamics Embedding

Dai et al.: https://arxiv.org/abs/1904.12083

#ArtificialIntelligence #DeepLearning #MachineLearning

Temporal Cycle-Consistency Learning
Dwibedi et al.: https://sites.google.com/view/temporal-cycle-consistency/
#artificialintelligence #deeplearning #machinelearning #technology