2055 results for "receipt" across all locations
Introducing the #UberFrontSeatChallenge
The Front Seat Challenge is designed to help drivers and riders get to know each other better, and to foster a more positive Uber community.
UberAir50 T&Cs
Terms and Conditions
Uber Rewards | February 6, 2017
Rides at 50% OFF | February 6, 2017
Ancestry® celebrated the holidays with Uber Eats gift cards and nonprofit donations
Ancestry ® is the global leader in family history and consumer genomics, and people are at the center of everything they do. When its holiday event went virtual, Ancestry turned to Uber for Business. After connecting with Uber for Business, the Ancestry team put together the generous “Enjoy a Meal, Give a Meal” program and announced it in a company all-hands meeting. Each of the 1,400 employees in the US received a $75 Uber Eats gift card to enjoy.
TNC Permit Granted
We are excited to announce that Uber’s ridesharing subsidiary Rasier-CA LLC received a TNC permit from the CPUC on April 7. Across the Golden State, California residents have adopted Uber as their favorite way to move around. The unprecedented growth in this industry and the leadership shown by California’s regulatory leaders sends a clear message. The innovation economy is thriving in California and the roadmap is simple: public safety and consumer choice go hand in hand.
September Driver-Partner Spotlight – Tanya P.
We’re honored to highlight Metro Atlanta driver-partners that consistently go above and beyond to offer excellent service. Our September spotlight features Tanya, who’s completed close to 2,000 trips on the Uber platform while maintaining a stellar 4.86 rating! Tanya also recently re-located to Atlanta to follow her dreams to pursue acting.
Pro Tips for Uber Trips
Looking for unlimited free rides? Give your friends and family – or even complete strangers – the gift of safe and comfortable Uber rides. By sharing your personal invitation code, their first ride is free! When they take their first ride, you’ll immediately receive one free ride! You can invite as many people as you like.
Uber-Text: A Large-Scale Dataset for Optical Character Recognition from Street-Level Imagery
Y. Zhang, L. Gueguen, I. Zharkov, P. Zhang, K. Seifert, B. Kadlec
Optical Character Recognition (OCR) approaches have been widely advanced in recent years thanks to the resurgence of deep learning. The state-of-the-art models are mainly trained on the datasets consisting of the constrained scenes. Detecting and recognizing text from the real-world images remains a technical challenge. […] [PDF]
Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
T. Miconi, A. Rawal, J. Clune, K. Stanley
A grand challenge in reinforcement learning is intelligent exploration, especially when rewards are sparse or deceptive. Two Atari games serve as benchmarks for such hard-exploration domains: Montezuma’s Revenge and Pitfall. On both games, current RL algorithms perform poorly, even those with intrinsic motivation, which is the dominant method to improve performance on hard-exploration domains. To address this shortfall, we introduce a new algorithm called Go-Explore. […] [PDF]
International Conference on Learning Representations (ICLR), 2019