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Uber AI

En-tête

  • Uber AI in 2019: Advancing Mobility with Artificial Intelligence

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  • Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

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  • Controlling Text Generation with Plug and Play Language Models

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  • Uber goes to NeurIPS

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  • Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations

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  • COTA: Improving Uber Customer Care with NLP & Machine Learning

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  • An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

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  • Improving Pickups with Better Location Accuracy

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  • Introducing Hypothesis GU Funcs, an Open Source Python Package for Unit Testing

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  • Introducing LCA: Loss Change Allocation for Neural Network Training

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  • Ludwig v0.2 Adds New Features and Other Improvements to its Deep Learning Toolbox

  • Introducing EvoGrad: A Lightweight Library for Gradient-Based Evolution

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Open Source Projects

  • Pyro

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  • Ludwig

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  • Plato

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