Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2019
https://insidebigdata.com/2020/01/16/best-of-arxiv-org-for-ai-machine-learning-and-deep-learning-december-2019/

Free Online Course: Fundamentals of Machine Learning from Complexity Explorer Class Central
https://www.complexityexplorer.org/courses/81-fundamentals-of-machine-learning

Neuroscience and Artificial Intelligence Are More Linked Than You'd Expect
https://interestingengineering.com/neuroscience-and-artificial-intelligence-are-more-linked-than-youd-expect

CvxNets: Learnable Convex Decomposition by Geoffrey Hinton,

Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Andrea Tagliasacchi : https://arxiv.org/abs/1909.05736

Neuroimaging may become a key tool in the diagnosis of mental health disorders:
https://neurosciencenews.com/mental-health-neuroimaging-15502/

108-page survey paper/book on Deep Learning Techniques for Music Generation. https://arxiv.org/pdf/1709.01620v1.pdf

"Optuna: A Next-generation Hyperparameter Optimization Framework"
Akiba et al.: https://arxiv.org/abs/1907.10902
#ArtificialIntelligence #DataScience #MachineLearning

Backward Feature Correction: How Deep Learning Performs Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li: https://arxiv.org/abs/2001.04413
#ArtificialIntelligence #DeepLearning #MachineLearning

List of Global Artificial Intelligence / Machine Learning Conferences in 2020
https://www.marktechpost.com/2020/01/17/list-of-global-artificial-intelligence-machine-learning-conferences-in-2020/

Deep learning continues to improve at astounding rates. In 2017 it costed $1,000 to train ResNet50 on the cloud, now it costs $10.

Thanks to AI accelerators and 'unlimited' compute in the cloud, AI algorithms are eating up 10x the amount of FLOPs per year.

Evolution of circuits for machine learning
https://www.nature.com/articles/d41586-020-00002-x

Geoffrey Hinton: What is wrong with convolutional neural nets?
https://youtube.com/watch?v=Jv1VDdI4vy4
#geoffreyhinton

Selective Brain Damage: Measuring the Disparate Impact of Model Compression
Sara Hooker, Aaron Courville, Yann Dauphin, Andrea Frome: https://weightpruningdamage.github.io
#ArtificialIntelligence #DeepLearning #NeuralNetworks

Connecting Vision and Language with Localized Narratives
Pont-Tuset et al.: https://arxiv.org/abs/1912.03098
#ArtificialIntelligence #DeepLearning #MachineLearning

3DPeople: Modeling the Geometry of Dressed Humans
Pumarola et al.: https://cv.iri.upc-csic.es
#ArtificialIntelligence #Dataset #DeepLearning

Advbox: a toolbox to generate adversarial examples that fool neural networks
Goodman et al.: https://arxiv.org/abs/2001.05574
GitHub: https://github.com/advboxes/AdvBox
#MachineLearning #Cryptography #Security

On the Morality of Artificial Intelligence
Alexandra Luccioni, Yoshua Bengio : https://arxiv.org/abs/1912.11945
#Society #AIEthics #ArtificialIntelligence

UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM)
https://www.aim.qmul.ac.uk/apply/

2019 in Review: 10 AI Papers That Made an Impact
https://medium.com/syncedreview/2019-in-review-10-ai-papers-that-made-an-impact-6f607c9c6035

Yoshua Bengio is currently recruiting a postdoc for his project on visualizing the impacts of climate change at Mila, Montreal.

The ideal candidate would have a strong background in ML/DL, specifically in Computer Vision and generative models, with a clear and strong interest in the environment and climate change in particular.
Please apply on the Mila postdoc application form (https://docs.google.com/forms/d/1pIfuSBORzKRLBEG8zIdJoEwwlsfvvKi2D2ENFPcbX5c) mentioning "VICC" and specifying your interest for this project in the application.