machine learning – Page 33 – Andrew Fairless, Ph.D.

What I Learn: Robots Must Be Ephemeralized

By Andrew Fairless on October 11, 2021September 24, 2021

https://blog.evjang.com/2021/09/ephemeralization.html Robots Must Be EphemeralizedEric JangMonday, September 20, 2021 “I now believe that offline evaluation technology is no longer optional if you are studying general-purpose robots… I outline why itContinue readingWhat I Learn: Robots Must Be Ephemeralized

What I Read: learning-to-rank

By Andrew Fairless on October 6, 2021September 21, 2021

https://www.amazon.science/blog/using-learning-to-rank-to-precisely-locate-where-to-deliver-packages Using learning-to-rank to precisely locate where to deliver packagesModels adapted from information retrieval deal well with noisy GPS input and can leverage map information.By George FormanSeptember 15, 2021 “ForContinue readingWhat I Read: learning-to-rank

What I Read: Permutation-Invariant Neural Networks for Reinforcement Learning

By Andrew Fairless on October 5, 2021September 21, 2021

https://arxiv.org/abs/2109.02869v1 The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement LearningYujin Tang, David Ha “…we build systems that feed each sensory input from the environment into distinct, butContinue readingWhat I Read: Permutation-Invariant Neural Networks for Reinforcement Learning

What I Read: Deep One-class Classification

By Andrew Fairless on October 4, 2021September 21, 2021

https://arxiv.org/abs/2011.02578 Learning and Evaluating Representations for Deep One-class ClassificationKihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister “We present a two-stage framework for deep one-class classification. We first learnContinue readingWhat I Read: Deep One-class Classification

What I Read: introduction to machine learning compilers and optimizers

By Andrew Fairless on September 30, 2021September 21, 2021

https://huyenchip.com//2021/09/07/a-friendly-introduction-to-machine-learning-compilers-and-optimizers.html A friendly introduction to machine learning compilers and optimizersChip HuyenSep 7, 2021 “…especially when running an ML model on the edge, the model’s success still depends on the hardwareContinue readingWhat I Read: introduction to machine learning compilers and optimizers

What I Read: Understanding Convolutions on Graphs

By Andrew Fairless on September 29, 2021September 21, 2021

https://distill.pub/2021/understanding-gnns/ Understanding Convolutions on GraphsUnderstanding the building blocks and design choices of graph neural networks.Ameya DaigavaneBalaraman RavindranGaurav AggarwalGoogle ResearchSept. 2, 202110.23915/distill.00032 “Graph neural networks (GNNs) are a family of neuralContinue readingWhat I Read: Understanding Convolutions on Graphs

What I Read: Introduction to Graph Neural Networks

By Andrew Fairless on September 28, 2021September 21, 2021

https://distill.pub/2021/gnn-intro/ A Gentle Introduction to Graph Neural NetworksBenjamin Sanchez-LengelingEmily ReifAdam PearceAlex WiltschkoGoogle ResearchSept. 2, 202110.23915/distill.00033 “Neural networks have been adapted to leverage the structure and properties of graphs. We exploreContinue readingWhat I Read: Introduction to Graph Neural Networks

What I Read: How Computationally Complex Is a Neuron?

By Andrew Fairless on September 27, 2021September 21, 2021

https://www.quantamagazine.org/how-computationally-complex-is-a-single-neuron-20210902/ How Computationally Complex Is a Single Neuron?by Allison Whitten “Computational neuroscientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to thinkContinue readingWhat I Read: How Computationally Complex Is a Neuron?

What I Read: How Generally Capable Agents Trained

By Andrew Fairless on September 23, 2021September 4, 2021

https://www.lesswrong.com/posts/DreKBuMvK7fdESmSJ/how-deepmind-s-generally-capable-agents-were-trained How DeepMind’s Generally Capable Agents Were Trainedby 1a3orn20th Aug 2021 “One of DeepMind’s latest papers… explains how DeepMind produced agents that can successfully play games as complex as hide-and-seekContinue readingWhat I Read: How Generally Capable Agents Trained

What I Read: AI Story Generation

By Andrew Fairless on September 22, 2021September 4, 2021

https://thegradient.pub/an-introduction-to-ai-story-generation/ An Introduction to AI Story Generation21.Aug.2021Mark Riedl “To tell a story, an intelligent system has to have a lot of knowledge, both about how to tell a story andContinue readingWhat I Read: AI Story Generation

Tag: machine learning