image – Page 2 – Andrew Fairless, Ph.D.

What I Read: How to Train Decision-Making AIs

By Andrew Fairless on February 8, 2022January 20, 2022

https://thegradient.pub/how-to-train-your-decision-making-ais/ How to Train your Decision-Making AIs10.Dec.2021Ruohan ZhangDhruva Bansal “How do humans transfer their knowledge and skills to artificial decision-making agents more efficiently? What kind of knowledge and skills shouldContinue readingWhat I Read: How to Train Decision-Making AIs

What I Read: AI Researchers Fight Noise by Turning to Biology

By Andrew Fairless on February 1, 2022December 12, 2021

https://www.quantamagazine.org/ai-researchers-fight-noise-by-turning-to-biology-20211207/ AI Researchers Fight Noise by Turning to BiologyAllison WhittenContributing WriterDecember 7, 2021 “Tiny amounts of artificial noise can fool neural networks, but not humans. Some researchers are looking toContinue readingWhat I Read: AI Researchers Fight Noise by Turning to Biology

What I Read: Semi-Supervised Learning

By Andrew Fairless on January 31, 2022December 12, 2021

https://lilianweng.github.io/lil-log/2021/12/05/semi-supervised-learning.html Learning with not Enough Data Part 1: Semi-Supervised LearningDec 5, 2021 by Lilian Weng “When facing a limited amount of labeled data for supervised learning tasks, four approaches areContinue readingWhat I Read: Semi-Supervised Learning

What I Read: Dense Vectors

By Andrew Fairless on December 14, 2021November 16, 2021

https://www.pinecone.io/learn/dense-vector-embeddings-nlp/ Dense Vectors: Capturing Meaning with CodeJames BriggsData Scientist “But since the days of word2vec, developments in representing language have advanced at ludicrous speeds. This article will explore why weContinue readingWhat I Read: Dense Vectors

What I Read: Her Machine Learning Tools Pull Insights From Cell Images

By Andrew Fairless on December 6, 2021November 16, 2021

https://www.quantamagazine.org/anne-carpenters-ai-tools-pull-insights-from-cell-images-20211102/ Her Machine Learning Tools Pull Insights From Cell ImagesEsther LandhuisContributing WriterNovember 2, 2021The computational biologist Anne Carpenter creates software that brings the power of machine learning to researchers seekingContinue readingWhat I Read: Her Machine Learning Tools Pull Insights From Cell Images

What I Read: Wavelets Transform Data

By Andrew Fairless on October 18, 2021October 16, 2021

https://www.quantamagazine.org/how-wavelets-allow-researchers-to-transform-and-understand-data-20211013/ How Wavelets Allow Researchers to Transform, and Understand, DataAlexander HellemansContributing WriterOctober 13, 2021 “Built upon the ubiquitous Fourier transform, the mathematical tools known as wavelets allow unprecedented analysis andContinue readingWhat I Read: Wavelets Transform Data

What I Read: Learning Neural Network Subspaces

By Andrew Fairless on September 20, 2021September 4, 2021

https://arxiv.org/abs/2102.10472 Learning Neural Network SubspacesMitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari “These neural network subspaces contain diverse solutions that can be ensembled, approaching the ensemble performance ofContinue readingWhat I Read: Learning Neural Network Subspaces

What I Read: Systems for Machine Learning

By Andrew Fairless on September 14, 2021August 20, 2021

https://thegradient.pub/systems-for-machine-learning/ Systems for Machine LearningKabir Nagrecha14.Aug.2021 “Machine learning’s increasing importance to real-world applications brought awareness of a new field focused on ML in practice – machine learning systems (or, asContinue readingWhat I Read: Systems for Machine Learning

What I Read: SwAV method

By Andrew Fairless on August 2, 2021July 12, 2021

https://m0nads.wordpress.com/2021/01/08/the-swav-method/ The SwAV methodAntonio Ferraioli “The SwAV method is a clustering-based online method whose goal is to learn visual features in an online fashion without supervision.”

What I Read: CNN Heat Maps, Class Activation Mapping

By Andrew Fairless on July 30, 2021July 12, 2021

https://glassboxmedicine.com/2019/06/11/cnn-heat-maps-class-activation-mapping-cam/ CNN Heat Maps: Class Activation Mapping (CAM)Date: June 11, 2019Author: Rachel Draelos “Class Activation Mapping (CAM) is one technique for producing heat maps to highlight class-specific regions of images.”

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