Perceptual Image Anomaly Detection. https://arxiv.org/abs/1909.05904


@ArtificialIntelligenceArticles

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita, Rico Sennrich, Ivan Titov
Blog: https://lena-voita.github.io/posts/emnlp19_evolution.html
Paper: https://arxiv.org/abs/1909.01380
#ArtificialIntelligence #MachineLearning #Transformers

Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning. https://arxiv.org/abs/1909.05477

Evolution of Representations in the Transformer

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
https://lena-voita.github.io/posts/emnlp19_evolution.html

paper https://arxiv.org/pdf/1909.01380.pdf

Couldn't make it to our Pie & AI meetup in Medellín? Watch the full video of Andrew Ng and Helmuth Trefftz's conversation to learn why we believe in Latin America as a new global AI hub:

https://youtu.be/wlQvPJHxfOE

"A tutorial on energy-based learning"
Yann LeCun, Sumit Chopra, and Raia Hadsell (2006) : https://yann.lecun.com/exdb/publis/pdf/lecun-06.pdf
#EnergyBasedModels #GenerativeModels #GraphTransformerNetworks

DyANE: Dynamics-aware node embedding for temporal networks
Koya Sato, Mizuki Oka, Alain Barrat, Ciro Cattuto : https://arxiv.org/abs/1909.05976
#Physics #Society #MachineLearning #SocialNetworks

1.3 Why study the human brain?
https://www.youtube.com/watch?v=3GK7wDEjrks&fbclid=IwAR0Q7xvmlQ84-u0a52AR2DCpC_kdduWQsRZqp6G88qEZzDf1LYkDzZ4vvvE

Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data
Yang Li, José M. F. Moura : https://arxiv.org/abs/1909.04019v3
#MachineLearning #ArtificialIntelligence #Transformer

Help detect serious head injuries by participating in our latest competition, Intracranial Hemorrhage Detection by @RSNA | Read more and Join today!

https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection

Robotics surgeries may currently be an expensive proposition for hospitals, but robots and artificial intelligence will certainly play a major role in the healthcare sector in the future.
Several startups such as DiFacto Robotics, SigTuple and Aindra are working to bring new technologies to reality in India. A group of top executives from hospital chains, investment firms and startups discussed the future of healthcare at the News Corp VCCircle Healthcare Investment Summit, held in Mumbai recently.

https://www.youtube.com/watch?v=1arrmk4XWZE

Full Time Opportunities for PhD Students - AI Development Program

#Microsoft
#Redmond, Washington, United States
https://careers.microsoft.com/us/en/job/660559/Full-Time-Opportunities-for-PhD-Students-AI-Development-Program

Project Ihmehimmeli: Temporal Coding in Spiking Neural Networks
Blog by Iulia-Maria Comșa and Krzysztof Potempa : https://ai.googleblog.com/2019/09/project-ihmehimmeli-temporal-coding-in.html
#neuralnetworks #machinelearning #artificialintelligence

Neural-Network Pioneer Yann LeCun on AI and Physics
https://harvardmagazine.com/2019/09/neural-network-pioneer-yann-lecun-on-ai-and-physics#disqus_thread

https://t.iss.one/ArtificialIntelligenceArticles

Explore the world of Bioinformatics with Machine Learning
https://www.kdnuggets.com/2019/09/explore-world-bioinformatics-machine-learning.html

MIDL2020 Paper submission deadline is the end of January! I am an organizer this year! It is going to be great as usual!

The conference has a broad scope including all areas of medical image analysis and computer-assisted intervention where deep learning is a key element.

https://2020.midl.io/call-for-papers.html

Notes on iMAML: Meta-Learning with Implicit Gradients
By Ferenc Huszar : https://www.inference.vc/notes-on-imaml-meta-learning-without-differentiating-through/
#ArtificialIntelligence #MetaLearning #NeuralNetworks

Implicit Autoencoders
Alireza Makhzani : https://arxiv.org/abs/1805.09804
#DeepLearning #MachineLearning #NeuralNetworks

Logarithmic Regret for Online Control
Naman Agarwal, Elad Hazan, Karan Singh : https://arxiv.org/abs/1909.05062
#MachineLearning #Optimization #Control