Machine Learning Top 10 Articles for the Past Month (v.July 2019)

https://medium.com/@Mybridge/machine-learning-top-10-articles-for-the-past-month-v-july-2019-178436f99201 https://t.iss.one/ArtificialIntelligenceArticles

Low-Rank Matrix Completion: A Contemporary Survey. arxiv.org/abs/1907.11705

DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization. arxiv.org/abs/1907.11307

Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation. arxiv.org/abs/1907.11292

Yann LeCun :


"EGG is a new toolkit that allows researchers and developers to quickly create game simulations in which two neural network agents devise their own discrete communication system in order to solve a task together."


https://code.fb.com/ai-research/egg-toolkit/

https://t.iss.one/ArtificialIntelligenceArticles

The ACM Turing Lecture on "The #DeepLearning Revolution" is now available
Presented by each winner on the topic of their choice at a forum of their choice in the year they received the ACM A.M. Turing Award https://amturing.acm.org/lectures.cfm
#ArtificialIntelligence #SelfSupervisedLearning

Tensorflow implementation of U-GAT-IT

Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

GitHub, by Junho Kim : https://github.com/taki0112/UGATIT

#tensorflow #unsupervisedlearning #generativemodels

ConvNet Playground

An interactive visualization tool for exploring Convolutional #NeuralNetworks applied to the task of semantic image search.

Created by Victor Dibia at Fast Forward Labs : https://convnetplayground.fastforwardlabs.com/#/

#datavisualization #deeplearning #machinelearning

Implicit Generation and Generalization in Energy-Based Models

Yilun Du and Igor Mordatch : https://arxiv.org/abs/1903.08689

#EnergyBasedModels #MachineLearning #GenerativeModels

OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python
https://www.analyticsvidhya.com/blog/2019/07/openai-gpt2-text-generator-python/

Quantum Computers, Neural Computers, and the future of 0s and 1s.
https://medium.com/@normandipalo/quantum-computers-neural-computers-and-the-future-of-0s-and-1s-ac790ca1f5e4

FixRes is a simple method for fixing the train-test resolution discrepancy. It can improve the performance of any convolutional neural network architecture.

Github: https://github.com/facebookresearch/FixRes

Article:https://arxiv.org/abs/1906.06423

Train and Deploy Machine Learning Model With Web Interface - PyTorch & Flask

Github: https://github.com/imadelh/ML-web-app

Article: https://imadelhanafi.com/posts/train_deploy_ml_model/

Example: https://ml-app.imadelhanafi.com/

Finally Kaggle is doing this!

Course 4 of the deeplearning.ai TensorFlow Specialization is now available on Coursera! Combine everything you’ve learned to build a sophisticated sunspot prediction model using real-world data. Enroll now: https://www.coursera.org/specializations/tensorflow-in-practice

Multiple Post-docs at U. of Toronto in AI / ML / Deep Learning

Over the next 1-2 months, I expect to have multiple post-doc openings for different AI / ML / Deep Learning research projects at the U. of Toronto:

(1) Bayesian Methods for Deep Learning
(2) Deep Learning for Traffic Prediction and Deep RL for Traffic Control
(3) Deep Learning and Embedding Methods for Financial Prediction from Social Media
(4) Deep Learning for Conversational Recommendation Systems

Salaries for all positions would be approximately CAD $54,000 per year. Initial offers would be made for one year with possibility of renewal for one or more years. Post-docs are expected to publish in the top venues relevant to the project research area and to produce high-quality deliverable code for use by research funding partners.

If you are interested, please email [email protected] with the following:

(a) your CV (clearly listing all publications),
(b) your github or bitbucket public account link with projects that I can browse (if you don't have this, please do not apply),
(c) 1-2 sentences in your email stating which position(s) interest you and why you think you are appropriate for the position.

Deadline: rolling until all positions become available and are filled (all offers expected to be made by Oct 1, 2019 at the latest).

Dr. Scott P. Sanner
Assistant Professor, Industrial Engineering
Cross-appointed, Computer Science
Faculty Affiliate, Vector Institute
University of Toronto, Toronto, ON, Canada
Email: [email protected]
Website: https://d3m.mie.utoronto.ca/