2055 results for "receipt" across all locations
POSTMATES X LISA BOBA COLLAB SWEEPSTAKES OFFICIAL RULES
Postmates, LLC (“Postmates”) is sponsoring the Postmates x Lisa Boba Collab Sweepstakes (the “Sweepstakes”). The Sweepstakes is subject to these official rules (the “Official Rules”), and by participating, you (“Entrant”) agree to be bound by them and the decisions of Postmates, which are final and binding in all respects.
NO PURCHASE NECESSARY TO ENTER OR WIN A PRIZE. A PURCHASE DOES NOT IMPROVE YOUR CHANCES OF WINNING. ODDS OF WINNING WILL DEPEND ON THE TOTAL NUMBER OF ELIGIBLE ENTRIES RECEIVED. VOID WHERE PROHIBITED BY LAW OR RESTRICTED BY LAW.
UberCHEF: On-Demand Chefs in the Hamptons
This Saturday, August 9, Uber is teaming up with Kitchensurfing, the online marketplace for chefs, to offer you the ultimate on-demand experience in the Hamptons— UberCHEF!
We’re offering up to R100 off 2 trips to or from vaccination centres.
We’re committed to helping as many people as possible receive a vaccination during this critical time, and want to help ensure that transport isn’t a barrier to getting vulnerable people to their COVID-19 vaccination. In partnership with Mastercard, we’re covering 2 free trips (up to R100 each) to and from select vaccination centres across the country! T&Cs apply.
An update to our services in KSA
Due to regulatory requirements on the ride-hailing industry which have recently gone into effect in Saudi Arabia, ride-hailing companies are restricted to dispatching private taxi vehicles operated by Saudi nationals only. This may impact vehicle availability in some cities on the app and may result in an increase in wait time and/or surge levels. Public taxis are exempt from this requirement.
ES Is More Than Just a Traditional Finite-Difference Approximator
J. Lehman, J. Chen, Jeff Clune, Kenneth O. Stanley
An evolution strategy (ES) variant based on a simplification of a natural evolution strategy recently attracted attention because it performs surprisingly well in challenging deep reinforcement learning domains. It searches for neural network parameters by generating perturbations to the current set of parameters, checking their performance, and moving in the aggregate direction of higher reward. […] [PDF]
The Genetic and Evolutionary Computation Conference (GECCO), 2018
Go-Explore: a New Approach for Hard-Exploration Problems
A. Ecoffet, J. Huizinga, J. Lehman, K. Stanley, J. Clune
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. […] [PDF]
2019
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
Y. Wu, M. Ren, R. Liao, R. Grosse
Careful tuning of the learning rate, or even schedules thereof, can be crucial to effective neural net training. There has been much recent interest in gradient-based meta-optimization, where one tunes hyperparameters, or even learns an optimizer, in order to minimize the expected loss when the training procedure is unrolled. […] [PDF]
International Conference on Learning Representations (ICLR), 2018
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
UberMENTOR: one ride, endless opportunity
On Thursday, October 12, we’re bringing you UberMENTOR on demand.
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.