multitask – Andrew Fairless, Ph.D.

What I Read: Deciding Which Tasks Should Train Together

By Andrew Fairless on November 16, 2021November 16, 2021

https://ai.googleblog.com/2021/10/deciding-which-tasks-should-train.html Deciding Which Tasks Should Train Together in Multi-Task Neural NetworksMonday, October 25, 2021Posted by Christopher Fifty, Research Engineer, Google Research, Brain Team “…there may be instances when learning fromContinue readingWhat I Read: Deciding Which Tasks Should Train Together

What I Read: Multi-task Prediction of Organ Dysfunction

By Andrew Fairless on August 25, 2021August 17, 2021

https://ai.googleblog.com/2021/07/multi-task-prediction-of-organ.html Multi-task Prediction of Organ Dysfunction in ICUsThursday, July 22, 2021 “Applying machine learning (ML) to electronic health records (EHRs) has shown promise in predicting clinical outcomes. However, many ofContinue readingWhat I Read: Multi-task Prediction of Organ Dysfunction

What I Read: Do Multi-Task Learning Intelligently

By Andrew Fairless on July 15, 2021July 2, 2021

https://thegradient.pub/how-to-do-multi-task-learning-intelligently/ How to Do Multi-Task Learning Intelligently22.Jun.2021 “Traditionally, a single machine learning model is devoted to one task… There are some advantages, however, to training models to make multiple kindsContinue readingWhat I Read: Do Multi-Task Learning Intelligently

What I Read: AutoML, Multi-task learning, Multi-tower models, Ads

By Andrew Fairless on April 20, 2021April 3, 2021

https://medium.com/pinterest-engineering/how-we-use-automl-multi-task-learning-and-multi-tower-models-for-pinterest-ads-db966c3dc99e How we use AutoML, Multi-task learning and Multi-tower models for Pinterest AdsPinterest EngineeringAug 19, 2020Ernest Wang | Software Engineer, Ads Ranking “In this blog post, we explain how keyContinue readingWhat I Read: AutoML, Multi-task learning, Multi-tower models, Ads

What I Read: Reinforcement learning is supervised learning

By Andrew Fairless on February 2, 2021January 8, 2021

https://bair.berkeley.edu/blog/2020/10/13/supervised-rl/ Reinforcement learning is supervised learning on optimized dataBen Eysenbach and Aviral Kumar and Abhishek Gupta Oct 13, 2020 “This suggests that we can simply use inverse RL to relabelContinue readingWhat I Read: Reinforcement learning is 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: 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

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