Research

Engineering

Labor Market Equilibration: Evidence from Uber

August 1, 2018 / Global

Engineering

Safely and Quickly Deploying New Features with a Staged Rollout Framework Using Sequential Test and Adaptive Experimental Design

August 1, 2018 / Global

Engineering

Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

August 1, 2018 / Global

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Engineering

Uber Happy? Work and Well-being in the “Gig Economy”

August 1, 2018 / Global

Uber AI, Engineering

Differentiable Compositional Kernel Learning for Gaussian Processes

July 1, 2018 / Global

Uber AI, Engineering

Discovering Interpretable Representations for Both Deep Generative and Discriminative Models

July 1, 2018 / Global

Uber AI, Engineering

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

July 1, 2018 / Global

Uber AI, Engineering

COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks

July 1, 2018 / Global

Uber AI, Engineering

Variational Bayesian dropout: pitfalls and fixes

July 1, 2018 / Global

Uber AI, Engineering

Reviving and Improving Recurrent Back Propagation

July 1, 2018 / Global

Uber AI, Engineering

Learning to Reweight Examples for Robust Deep Learning

July 1, 2018 / Global

Uber AI, Engineering

Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm

July 1, 2018 / Global

Uber AI, Engineering

GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation

June 1, 2018 / Global

Uber AI, Engineering

Matching Adversarial Networks

June 1, 2018 / Global

Uber AI, Engineering

Deep Parametric Continuous Convolutional Neural Networks

June 1, 2018 / Global

Uber AI, Engineering

Learning deep structured active contours end-to-end

June 1, 2018 / Global

Uber AI, Engineering

SBNet: Sparse Block’s Network for Fast Inference

June 1, 2018 / Global

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Research

Labor Market Equilibration: Evidence from Uber

Safely and Quickly Deploying New Features with a Staged Rollout Framework Using Sequential Test and Adaptive Experimental Design

Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

Interested in joining Uber Eng?

Uber Happy? Work and Well-being in the “Gig Economy”

Differentiable Compositional Kernel Learning for Gaussian Processes

Discovering Interpretable Representations for Both Deep Generative and Discriminative Models

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks

Variational Bayesian dropout: pitfalls and fixes

Reviving and Improving Recurrent Back Propagation

Learning to Reweight Examples for Robust Deep Learning

Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm

GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation

Matching Adversarial Networks

Deep Parametric Continuous Convolutional Neural Networks

Learning deep structured active contours end-to-end

SBNet: Sparse Block’s Network for Fast Inference

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