2357 results for "earn" across all locations
Learnings in Web Development: Design Patterns, Elm, and Progressive Enhancement
Uber’s Destination:Web meetup series gives great insight about the most current web building tools and techniques. These three videos from Uber presenters offer tips on a mysterious design pattern, the Elm language, and Progressive Enhancement.
5 key learnings from Uber’s leadership panel on the power of visibility
To celebrate International Women’s Day, we hosted a panel of leaders from across Uber showcasing the power of visibility. Ana Loibner, Global Mobility Chief of Staff and Women at Uber Global Board Member, shares what she learned.
Learn how Uber Freight is helping United Reuse grow its business
Thanks to Uber Freight’s instant quotes, the industrial packaging company now saves hundreds of hours in booking time.
【Uber App Guide for Riders】learn more about Upfront Fares
Upfront fare is calculated based on your trip’s expected time and distance, the vehicle option you select (UberX, Black, UberXL, etc) and also accounts for the predicted traffic and availability of driver-partners at the time of the request. If demand is high and dynamic pricing is in effect, your upfront fare may be higher.
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch
S. Duggal, S. Wang, W.-C. Ma, R. Hu, R. Urtasun
We propose a real-time dense depth estimation approach using stereo image pairs, which utilizes differentiable Patch Match to progressively prune the stereo matching search space. Our model achieves competitive performance on the KITTI benchmark despite running in real time. [PDF]
International Conference on Computer Vision (ICCV), 2019
Fraud Detection: Using Relational Graph Learning to Detect Collusion
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Three Approaches to Scaling Machine Learning with Uber Seattle Engineering
At an April 2019 meetup on ML and AI at Uber Seattle, members of our engineering team discussed three different approaches to enhancing our ML ecosystem.
UberMENTOR: Ride and Learn from Jacksonville’s Best and Brightest
Model Excellence Scores: A Framework for Enhancing the Quality of Machine Learning Systems at Scale
With the introduction of Model Excellence Scores at Uber, we’re setting a new standard for measuring, monitoring, and maintaining ML model quality–read how this innovative approach aims to enhance ML governance and provide clearer insights.
Meta-Graph: Few-Shot Link Prediction Using Meta-Learning
Uber AI introduces Meta-Graph, a new few-shot link prediction framework that facilitates the more accurate training of ML models that quickly adapt to new graph data.