COURSE
Probabilistic Graphical Models

Spring 2019 • Carnegie Mellon University

Lisa Lee
https://sailinglab.github.io/pgm-spring-2019/lectures/

Deep Learning lecture
The full deck of (600+) slides, by Gilles Louppe: https://glouppe.github.io/info8010-deep-learning/pdf/lec-all.pdf
#ArtificialIntelligence #DeepLearning #MachineLearning

Full Stack Deep Learning Bootcamp
(Most of) Lectures of Day 1: https://fullstackdeeplearning.com/march2019
Happy learning!
#ArtificialIntelligence #DeepLearning #MachineLearning

A short video explaining our recent ICLR'19 paper: "Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic" by
Mikael Henaff, Alfredo Canziani, & Yann LeCun
https://openreview.net/forum?id=HygQBn0cYm

https://youtu.be/X2s7gy3wIYw

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Cynthia Rudin, Duke University

https://www.nature.com/articles/s42256-019-0048-x

ArXiv Version:
https://arxiv.org/pdf/1811.10154

#artificialintelligence #explainableai
#blackbox

2018 ACM Tur8ng Award

https://m.youtube.com/watch?v=Fn589zeMij4&feature=youtu.be

And

https://vimeo.com/333389735

FastSpeech: Fast, Robust and Controllable Text to Speech
Ren et al.: https://arxiv.org/abs/1905.09263
#ArtificialIntelligence #DeepLearning #MachineLearning

A Transformer Chatbot Tutorial with TensorFlow 2.0
Article by Bryan M. Li: https://medium.com/tensorflow/a-transformer-chatbot-tutorial-with-tensorflow-2-0-88bf59e66fe2
#ArtificialIntelligence #MachineLearning #TensorFlow #Chatbot

Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang NT and Takanori Maehara: https://arxiv.org/abs/1905.09550
#MachineLearning #NeuralNetworks #InformationTheory #SpectralTheory

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Zakharov et al.: https://arxiv.org/abs/1905.08233
Video: https://youtu.be/p1b5aiTrGzY
Animating heads using only few shots of target person (or even 1 shot). Keypoints, adaptive instance norms and GANs.
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks

Speech2Face: Learning the Face Behind a Voice
https://arxiv.org/abs/1905.09773
#ArtificialIntelligence #DeepLearning #Multimedia

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Zakharov et al.: https://arxiv.org/abs/1905.08233

@ArtificialIntelligenceArticles

#ComputerVision #GenerativeAdversarialNetworks #MachineLearning

Text Classification Algorithms: A Survey

https://medium.com/text-classification-algorithms/text-classification-algorithms-a-survey-a215b7ab7e2d

Major 50m$ grant for fighting cancer with AI! And Mila is part of this amazing project led by the Terry Fox research institute and Imagia.



Imagia and The Terry Fox Foundation are proud to partner and lead a collaborative nationwide ecosystem that will leverage #AI to accelerate accessible #precisionmedicine, a key element to revolutionize disease cure, care, and prevention.

Full news release: https://www.canada.ca/en/innovation-science-economic-development/news/2019/05/minister-bains-announces-investment-to-accelerate-medical-breakthroughs-that-will-enable-truly-personalized-health-care.html
__________

Imagia et l’Institut de recherche Terry Fox sont fiers de s’associer dans le but de lancer un écosystème collaboratif à l’échelle nationale qui propulsera l’IA pour accélérer l’accès à la médecine de précision, un élément clef pour révolutionner le traitement et la prévention de mala


https://www.canada.ca/fr/innovation-sciences-developpement-economique/nouvelles/2019/05/le-ministre-bains-annonce-un-investissement-destine-a-accelerer-les-percees-dans-le-domaine-medical-qui-permettront-la-prestation-de-soins-de-sante.html

Paper Submissions Break NeurIPS 2019 Paper Submission System
https://medium.com/syncedreview/paper-submissions-break-neurips-2019-paper-submission-system-884a60e32a82

"Sticking the landing on inductive leaps"
Blog by Laura Ball: https://medium.com/mila-quebec/sticking-the-landing-on-inductive-leaps-10b996594fc0
#MachineLearning #ArtificialIntelligence #DeepLearning

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
By Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung: https://arxiv.org/abs/1905.08743
#Computation #Language #ArtificialIntelligence

Minister Bains announces investment to accelerate medical breakthroughs that will enable truly personalized health care
“This investment promises not only to improve the future of Canadians’ health but also to do it with made-in-Canada solutions. By harnessing Canada’s strengths in health research and AI, we’re helping to usher in a new era of more personalized care that will mean better health outcomes. We’re excited to see all the new health and biosciences innovations that will result from this collaboration.” – The Honourable Navdeep Bains, Minister of Innovation, Science and Economic Development
From: Innovation, Science and Economic Development Canada https://www.canada.ca/en/innovation-science-economic-development/news/2019/05/minister-bains-announces-investment-to-accelerate-medical-breakthroughs-that-will-enable-truly-personalized-health-care.html
#artificialintelligence #canada #health #innovation #research

This documentary provides some deep inside into the nature of intelligence

https://m.youtube.com/watch?v=oegnfAAkr_8&feature=youtu.be

ICYMI: Best Paper Award talk #ICRA2019!

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
paper: https://www.profillic.com/paper/arxiv:1810.10191

They present their results in simulation and on a real robot!

For more like this: https://www.profillic.com

Top Artificial Intelligence Books to Read in 2019


https://www.marktechpost.com/2019/05/24/top-artificial-intelligence-books-to-read-in-2019/