1762 results for "airport" across all locations
Improvements designed to help keep you even safer
Enjoy every Uber ride with more peace of mind. Find out how our new safety tools keep you connected and protected, wherever you go.
Improvements designed to help keep you even safer
Enjoy every Uber ride with more peace of mind. Find out how our new safety tools keep you connected and protected, wherever you go.
uberBADD – Kolkata, let’s take the pledge against drunk driving!
uberBADD (Bars Against Drunk Driving) – a partnership with the top bars in Kolkata to fight against drunk driving. This collaboration, encouraged by the Kolkata Police, aims to help Kolkatans make smarter decisions when drinking on a night out.
Supporting Phoenix’s LGBT Community
Supporting Providence’s LGBT Community
Are you ready for an Uber Bachelorette Party?
Supporting Sacramento’s LGBT community
A chat about Ramadan with Uber partner-driver Feroj
Some tips for partner-drivers who are driving during Ramadan.
Evolvability ES: Scalable and Direct Optimization of Evolvability
A. Gajewski, J. Clune, K. O. Stanley, J. Lehman
Designing evolutionary algorithms capable of uncovering highly evolvable representations is an open challenge; such evolvability is important because it accelerates evolution and enables fast adaptation to changing circumstances. This paper introduces evolvability ES, an evolutionary algorithm designed to explicitly and efficiently optimize for evolvability, i.e. the ability to further adapt. […] [PDF]
The Genetic and Evolutionary Computation Conference (GECCO), 2019
End-To-End Instance Segmentation With Recurrent Attention
M. Ren, R. Zemel
While convolutional neural networks have gained impressive success recently in solving structured prediction problems such as semantic segmentation, it remains a challenge to differentiate individual object instances in the scene. Instance segmentation is very important in a variety of applications, such as autonomous driving, image captioning, and visual question answering. […] [PDF]
Supplementary Materials: [LINK]
Code: [LINK]
Conference on Computer Vision and Pattern Recognition (CVPR), 2017