2225 results for "earn" across all locations
Why I Drive: The Many Ways Drivers Use the Uber App to Reach Their Goals
A recent survey of our driver-partners found that from Los Angeles, to Houston, to Baltimore there is no “typical” driver with Uber. Watch some of their stories.
Share Uber with your family
Shopify and Uber Team Up to Help Small-Businesses Grow with On-Demand Delivery
We teamed up with platform partner Shopify to host a roundtable discussion on how small-businesses can grow with on-demand delivery.
More tips on electric vehicles – from driver to driver
London based driver, John tells us about his journey to Uber and how driving a Tesla has been a game changer.
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
A. Nguyen, J. Clune, Y. Bengio, A. Dosovitskiy, J. Yosinski
Generating high-resolution, photo-realistic images has been a long-standing goal in machine learning. Recently, Nguyen et al. (2016) showed one interesting way to synthesize novel images by performing gradient ascent in the latent space of a generator network to maximize the activations of one or multiple neurons in a separate classifier network. In this paper we extend this method by introducing an additional prior on the latent code, improving both sample quality and sample diversity, leading to a state-of-the-art generative model that produces high quality images at higher resolutions (227×227) than previous generative models, and does so for all 1000 ImageNet categories. […] [PDF]
Computer Vision and Pattern Recognition (CVPR), 2017
Joint Mapping and Calibration via Differentiable Sensor Fusion
J. Chen, F. Obermeyer, V. Lyapunov, L. Gueguen, N. Goodman
We leverage automatic differentiation (AD) and probabilistic programming to develop an end-to-end optimization algorithm for batch triangulation of a large number of unknown objects. Given noisy detections extracted from noisily geo-located street level imagery without depth information, we jointly estimate the number and location of objects of different types, together with parameters for sensor noise characteristics and prior distribution of objects conditioned on side information. […] [PDF]
Computing Research Repository (CoRR), 2018
The Perfect uberPOOL: A Case Study on Trade-Offs
J. Lo, S. Morseman
Case Study—One of Uber’s company missions is to make carpooling more affordable and reliable for riders, and effortless for drivers. In 2014 the company launched uberPOOL to make it easy for riders to share their trip with others heading in the same direction. Fundamental to the mechanics of uberPOOL is the intelligence that matches riders for a trip, which can introduce various uncertainties into the user experience. […]
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Ethnographic Praxis in Industry Conference (EPIC), 2018
5 new Driver app features from 2018
Here are 5 of our favorite features from Uber’s new Driver app.
Your experience with Uber
Tell us about you, driving… and Uber
Corporate Change: Ryan
Ryan is making the Uber experience better by rethinking how drivers and riders find each other.