machine learning – Page 53 – Andrew Fairless, Ph.D.

What I Read: Neural Networks to Find Answers in Tables

By Andrew Fairless on December 24, 2020December 13, 2020

https://ai.googleblog.com/2020/04/using-neural-networks-to-find-answers.html?ref=hvper.com Using Neural Networks to Find Answers in TablesThursday, April 30, 2020Posted by Thomas Müller, Software Engineer, Google Research “Much of the world’s information is stored in the form ofContinue readingWhat I Read: Neural Networks to Find Answers in Tables

What I Read: Common Sense Computers

By Andrew Fairless on December 23, 2020December 10, 2020

https://www.quantamagazine.org/common-sense-comes-to-computers-20200430/ artificial intelligenceCommon Sense Comes Closer to ComputersThe problem of common-sense reasoning has plagued the field of artificial intelligence for over 50 years. Now a new approach, borrowing from twoContinue readingWhat I Read: Common Sense Computers

What I Read: Tonks Multi-Task Model

By Andrew Fairless on December 22, 2020December 10, 2020

https://medium.com/shoprunner/tonks-building-one-multi-task-model-to-rule-them-all-3e5d020f1f2b Tonks: Building One (Multi-Task) Model to Rule Them All!Co-written by Nicole Carlson and Michael SugimuraMichael SugimuraApr 28 “Tonks is a library that streamlines the training of multi-task PyTorch networks.Continue readingWhat I Read: Tonks Multi-Task Model

What I Read: Monitoring Machine Learning Models in Production

By Andrew Fairless on December 20, 2020December 23, 2020

https://christophergs.com/machine%20learning/2020/03/14/how-to-monitor-machine-learning-models/ Monitoring Machine Learning Models in ProductionA Comprehensive Guide14 March 2020 “Once you have deployed your machine learning model to production it rapidly becomes apparent that the work is notContinue readingWhat I Read: Monitoring Machine Learning Models in Production

What I Read: Guide to Graph Neural Networks

By Andrew Fairless on December 20, 2020December 8, 2020

https://medium.com/dair-ai/an-illustrated-guide-to-graph-neural-networks-d5564a551783 An Illustrated Guide to Graph Neural NetworksA breakdown of the inner workings of GNNs…Rishabh AnandMar 30 “Here, I’ll cover the basics of a simple Graph Neural Network (GNN) andContinue readingWhat I Read: Guide to Graph Neural Networks

What I Read: sub-linear deep learning algorithm

By Andrew Fairless on December 19, 2020December 4, 2020

https://www.kdnuggets.com/2020/03/deep-learning-breakthrough-sub-linear-algorithm-no-gpu.html Deep Learning Breakthrough: a sub-linear deep learning algorithm that does not need a GPU?By Anshumali Shrivastava, Rice University. “Backpropagation is not an efficient algorithm…. The core idea behind theContinue readingWhat I Read: sub-linear deep learning algorithm

What I Read: Transformers Graph Neural Networks

By Andrew Fairless on December 17, 2020December 4, 2020

https://graphdeeplearning.github.io/post/transformers-are-gnns/ Transformers are Graph Neural NetworksChaitanya JoshiFeb 12, 2020 “Through this post, I want to establish links between Graph Neural Networks (GNNs) and Transformers. I’ll talk about the intuitions behindContinue readingWhat I Read: Transformers Graph Neural Networks

What I Read: Neural State Machine

By Andrew Fairless on December 16, 2020December 4, 2020

https://arxiv.org/abs/1907.03950 Learning by Abstraction: The Neural State MachineDrew A. Hudson, Christopher D. Manning “We introduce the Neural State Machine, seeking to bridge the gap between the neural and symbolic viewsContinue readingWhat I Read: Neural State Machine

What I Read: Kids’ brains building AI

By Andrew Fairless on December 15, 2020December 3, 2020

https://www.vox.com/future-perfect/2019/2/28/18239993/artificial-intelligence-children-machine-learning-alison-gopnik-psychology Kids’ brains may hold the secret to building better AIby Sigal Samuel “It’s called Moravec’s paradox: The things we thought would be hard — like playing chess — areContinue readingWhat I Read: Kids’ brains building AI

Tag: machine learning