Research

Uber AI, Engineering

Improving Movement Prediction of Traffic Actors using Off-road Loss and Bias Mitigation

October 1, 2019 / Global

Uber AI, Engineering

DAGMapper: Learning to Map by Discovering Lane Topology

October 1, 2019 / Global

Uber AI, Engineering

DMM-Net: Differentiable Mask-Matching Network for Video Instance Segmentation

September 27, 2019 / Global

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Uber AI, Engineering

Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving

September 16, 2019 / Global

Uber AI, Engineering

Hamiltonian Neural Networks

September 13, 2019 / Global

Uber AI, Engineering

LCA: Loss Change Allocation for Neural Network Training

September 13, 2019 / Global

Uber AI, Engineering

Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

September 13, 2019 / Global

Uber AI, Engineering

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

September 12, 2019 / Global

Uber AI, Engineering

Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform

August 29, 2019 / Global

Uber AI, Engineering

Uplift Modeling for Multiple Treatments with Cost Optimization

August 29, 2019 / Global

Uber AI, Engineering

DSIC: Deep Stereo Image Compression

August 9, 2019 / Global

Uber AI, Engineering

Flexibly-Structured Model for Task-Oriented Dialogues

August 6, 2019 / Global

Uber AI, Engineering

Improve User Retention with Causal Learning

August 5, 2019 / Global

Backend, Engineering

NullAway: Practical Type-Based Null Safety for Java

August 1, 2019 / Global

Uber AI, Engineering

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

July 18, 2019 / Global

Uber AI, Engineering

Evolvability ES: Scalable and Direct Optimization of Evolvability

July 13, 2019 / Global

Uber AI, Engineering

Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling

July 10, 2019 / Global

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Research

Improving Movement Prediction of Traffic Actors using Off-road Loss and Bias Mitigation

DAGMapper: Learning to Map by Discovering Lane Topology

DMM-Net: Differentiable Mask-Matching Network for Video Instance Segmentation

Interested in joining Uber Eng?

Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving

Hamiltonian Neural Networks

LCA: Loss Change Allocation for Neural Network Training

Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform

Uplift Modeling for Multiple Treatments with Cost Optimization

DSIC: Deep Stereo Image Compression

Flexibly-Structured Model for Task-Oriented Dialogues

Improve User Retention with Causal Learning

NullAway: Practical Type-Based Null Safety for Java

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

Evolvability ES: Scalable and Direct Optimization of Evolvability

Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling

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