Research

Uber AI, Engineering

Gaussian Process Behaviour in Wide Deep Neural Networks

April 1, 2018 / Global

Uber AI, Engineering

Differentiable plasticity: training plastic neural networks with backpropagation

April 1, 2018 / Global

Uber AI, Engineering

Graph Partition Neural Networks for Semi-Supervised Classification

April 1, 2018 / Global

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Uber AI, Engineering

Sports Field Localization via Deep Structured Models

April 1, 2018 / Global

Engineering

The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities

March 9, 2018 / Global

Uber AI, Engineering

Inference in Probabilistic Graphical Models by Graph Neural Networks

March 1, 2018 / Global

Uber AI, Engineering

Incorporating the Structure of the Belief State in End-to-End Task-Oriented Dialogue Systems

March 1, 2018 / Global

Uber AI, Engineering

Can You be More Polite and Positive? Infusing Social Language into Task-Oriented Conversational Agents

March 1, 2018 / Global

Uber AI, Engineering

The Mirage of Action-Dependent Baselines in Reinforcement Learning

February 27, 2018 / Global

Uber AI, Engineering

Weakly supervised collective feature learning from curated media

February 1, 2018 / Global

Uber AI, Engineering

NerveNet: Learning Structured Policy with Graph Neural Networks

February 1, 2018 / Global

Engineering

The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers

January 1, 2018 / Global

Uber AI, Engineering

Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty-seeking agents

December 1, 2017 / Global

Uber AI, Engineering

On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent

December 1, 2017 / Global

Engineering

Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients

December 1, 2017 / Global

Uber AI, Engineering

Meta-Learning for Semi-Supervised Few-Shot Classification

December 1, 2017 / Global

Uber AI, Engineering

Characterizing how Visual Question Answering models scale with the world

December 1, 2017 / Global

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EnglishEspañolپښتودری简体中文

Research

Gaussian Process Behaviour in Wide Deep Neural Networks

Differentiable plasticity: training plastic neural networks with backpropagation

Graph Partition Neural Networks for Semi-Supervised Classification

Interested in joining Uber Eng?

Sports Field Localization via Deep Structured Models

The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities

Inference in Probabilistic Graphical Models by Graph Neural Networks

Incorporating the Structure of the Belief State in End-to-End Task-Oriented Dialogue Systems

Can You be More Polite and Positive? Infusing Social Language into Task-Oriented Conversational Agents

The Mirage of Action-Dependent Baselines in Reinforcement Learning

Weakly supervised collective feature learning from curated media

NerveNet: Learning Structured Policy with Graph Neural Networks

The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers

Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty-seeking agents

On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent

Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients

Meta-Learning for Semi-Supervised Few-Shot Classification

Characterizing how Visual Question Answering models scale with the world

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