Book Review: A Hands-on Introduction to Machine Learning
I was pleased to receive a review copy of this new title from Cambridge University Press, “A Hands-on Introduction to
Continue readingI was pleased to receive a review copy of this new title from Cambridge University Press, “A Hands-on Introduction to
Continue readingEvaluating models in federated networks is challenging due to factors such as client subsampling, data heterogeneity, and privacy. These factors
Continue readingResearch Published 29 November 2023 Authors Amil Merchant and Ekin Dogus Cubuk AI tool GNoME finds 2.2 million new crystals,
Continue readingDeep learning model architecture visualizations uncover a model’s internal structure and how data flows through it. Activation heatmaps and feature
Continue readingRethinking the Role of PPO in RLHF TL;DR: In RLHF, there’s tension between the reward learning phase, which uses human
Continue readingHave you ever talked to your Front-end or Back-end engineer peers and noticed how much they care about code quality?
Continue readingTraining Diffusion Models with Reinforcement Learning replay Diffusion models have recently emerged as the de facto standard for generating complex,
Continue readingFigure 1: stepwise behavior in self-supervised learning. When training common SSL algorithms, we find that the loss descends in a
Continue readingFigure 1: “Interactive Fleet Learning” (IFL) refers to robot fleets in industry and academia that fall back on human teleoperators
Continue readingLife at DeepMind Published 23 June 2022 Avishkar Bhoopchand, a research engineer on the Game Theory and Multi-agent team, shares
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