active learning – Page 2 – Andrew Fairless, Ph.D.

What I Read: Production with Deep Semi-Supervised Learning

By Andrew Fairless on January 28, 2021January 2, 2021

https://towardsdatascience.com/from-research-to-production-with-deep-semi-supervised-learning-7caaedc39093 From Research to Production with Deep Semi-Supervised LearningVarun NairSep 25 “Semi-supervised learning (SSL), a subfield that combines both supervised and unsupervised learning, has grown in popularity in the deepContinue readingWhat I Read: Production with Deep Semi-Supervised Learning

What I Read: Continual Learning… and the Bridge to Active and Open World Learning

By Andrew Fairless on January 22, 2021December 30, 2020

https://arxiv.org/abs/2009.01797 A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World LearningMartin Mundt, Yong Won Hong, Iuliia Pliushch, Visvanathan RameshContinue readingWhat I Read: Continual Learning… and the Bridge to Active and Open World Learning

What I Read: Exploring Bayesian Optimization

By Andrew Fairless on December 26, 2020December 13, 2020

https://distill.pub/2020/bayesian-optimization/ Exploring Bayesian OptimizationBreaking Bayesian Optimization into small, sizeable chunks.AuthorsApoorv AgnihotriIndian Insitute of Technology GandhinagarNipun BatraIndian Insitute of Technology GandhinagarPublishedMay 5, 2020DOI10.23915/distill.00026 “Many modern machine learning algorithms have a largeContinue readingWhat I Read: Exploring Bayesian Optimization

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: active learning