2313 results for "black" across all locations
#UberSloep: Order a boat on the Amsterdam canals with the push of a button!
We set sail for the future of transportation in Amsterdam: we give you the option to order a canal boat through the Uber app!
Behind the Wheel with Alvaro, uberX Driver-Partner
Something BIG just happened in Ames
Uber Has Officially Launched in Mumbai!
Your Free Movie Tickets are here!
#UberIceCream: Delivering Ice Cream For Good
Uber Guide to St. Patrick’s Day
Let Uber do the driving while you do the green-beer-drinking this St. Patrick’s day!
Incorporating the Structure of the Belief State in End-to-End Task-Oriented Dialogue Systems
L. Shu, P. Molino, M. Namazifar, B. Liu, H. Xu, H. Zheng, and G. Tur
End-to-end trainable networks try to overcome error propagation, lack of generalization and overall brittleness of traditional modularized task-oriented dialogue system architectures. Most proposed models expand on the sequence-to-sequence architecture. Some of them don’t track belief state, which makes it difficult to interact with ever-changing knowledge bases, while the ones that explicitly track the belief state do it with classifiers. The use of classifiers suffers from the out-of-vocabulary words problem, making these models hard to use in real-world applications with ever-changing knowledge bases. We propose Structured Belief Copy Network (SBCN), a novel end-to-end trainable architecture that allows for interaction with external symbolic knowledge bases and solves the out-of-vocabulary problem at the same time. […] [PDF]
Conversational Intelligence Challenge at Conference on Neural Information Processing Systems (ConvAI @ NeurIPS), 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
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
R. Wang, J. Lehman, A. Rawal, J. Zhi, Y. Li, J. Clune, K. Stanley
Creating open-ended algorithms, which generate their own never-ending stream of novel and appropriately challenging learning opportunities, could help to automate and accelerate progress in machine learning. A recent step in this direction is the Paired Open-Ended Trailblazer (POET), an algorithm that generates and solves its own challenges, and allows solutions to goal-switch between challenges to avoid local optima. Here we introduce and empirically validate two new innovations to the original algorithm, as well as two external innovations designed to help elucidate its full potential. […] [PDF]
International Conference on Machine Learning (ICML), 2020