2105 results for "earn" across all locations
Darrington’s story: licensed real estate salesman and driver-partner
Darrington works as a licensed real estate salesman and drives with Uber.
$15 off 2 rides in Long Island on Thanksgiving Eve
We’ve partnered with Mothers Against Drunk Driving (MADD) to offer Long Island riders $15 off 2 rides this Thanksgiving Eve.
Where to go and how to travel this Labour Day weekend
Haven’t made your Labour Day plans? Make the most of your long weekend by taking a trip to NYC, Boston, Quebec City or these other popular cities.
Normalizing the Normalizers: Comparing and Extending Network Normalization Scheme
M. Ren, R. Liao, R. Urtasun, F. H. Sinz, R. Zemel
Normalization techniques have only recently begun to be exploited in supervised learning tasks. Batch normalization exploits mini-batch statistics to normalize the activations. This was shown to speed up training and result in better models. However its success has been very limited when dealing with recurrent neural networks. On the other hand, layer normalization normalizes the activations across all activities within a layer. This was shown to work well in the recurrent setting. In this paper we propose a unified view of normalization techniques, as forms of divisive normalization, which includes layer and batch normalization as special cases. […] [PDF]
International Conference on Learning Representations (ICLR), 2017
Meet our first #UberAllStar, Myron
Multi-Task Multi-Sensor Fusion for 3D Object Detection
M. Liang, B. Yang, Y. Chen, R. Hu, R. Urtasun
In this paper we propose to exploit multiple related tasks for accurate multi-sensor 3D object detection. Towards this goal we present an end-to-end learnable architecture that reasons about 2D and 3D object detection as well as ground estimation and depth completion. […] [PDF]
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Deep Rigid Instance Scene Flow
W.-C. Ma, S. Wang, R. Hu, Y. Xiong, R. Urtasun
In this paper we tackle the problem of scene flow estimation in the context of self-driving. We leverage deep learning techniques as well as strong priors as in our application domain the motion of the scene can be composed by the motion of the robot and the 3D motion of the actors in the scene. […] [PDF]
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Why Did My Fare Change?
Find out why there is a change in your fare vs UFP
Celebrate National Day with Us!
The country has been gearing up for this big day, and we want you to enjoy a long weekend filled with Bahraini food, culture and music. With your ride at a tap of a button, there is no excuse to stay at home.
