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

Machine Learning Engineer (Research)
Machine Learning Engineer (Research)

Machine Learning Engineers in our research group advance the frontier of what is possible in human-level Information Extraction, by conducting fundamental research in the areas of: natural language understanding, computer vision, representation learning, and knowledge graphs.
@ArtificialIntelligenceArticles
Responsibilities

Improve the accuracy of existing information extraction systems by advancing the current state-of-the-art
Experiment and validate for production new AI capabilities
Publish papers to share new discoveries with AI community
Implement your cutting edge research in the world’s largest production knowledge graph
Collaborate with other Diffbot researchers as well as external AI labs
Requirements

PhD or MS in Computer Science or equivalent work experience
Published research in areas of Web information extraction, natural language processing, computer vision, entity linking, relation extraction, representation learning, deep learning, knowledge inference, and other related fields
Preferred Skills

Programming ability: Java, Python, C++, CUDA
Experience in writing algorithms for speed and scalability


Perks & benefits for this role

Competitive compensation
100% company sponsored medical, dental and vision insurance
401k with company contribution matching
Free lunches, snacks and beverages
Customized computer setup
Unlimited paid time off
Parental leave
Dog friendly office
Commuter benefits
Ongoing learning through mentorship and education budget
Office setting – right next to downtown Menlo Park and CalTrain
Each employee has his/her own office
Onsite gym + fitness classes (Zumba, HIIT, Yoga, Body Sculpt, Muscle Conditioning, Ujam, Core Blast, and Mixed Fit)
Work remotely when needed and work on a flexible schedule
Opt-in team events and get togethers – BBQs, game nights, poker nights, happy hours, hiking and more
Work with an exceptional team of bright, innovative, fun and ambitious individuals from all around the world
To apply, please submit:

A short self-introduction expressing your interest and above qualifications
A resume

https://ai-jobs.net/job/machine-learning-engineer-research/

https://t.iss.one/ArtificialIntelligenceArticles