2701 results for "uber vip" across all locations
A guide on how to use Uber
The key to a good night out? Leaving the keys at home
Ditch your keys and let us do the driving. We partnered with some of Dubai’s favorite nightlife venues so you can enjoy better–and safer–nights out.
UberPITCH a Roma e Milano – Come funzionerà
Hai un’idea di business geniale per migliorare le città e vuoi parlarne con uno dei principali investitori italiani ma non sai come?…
Uber supports the City of Accra on Urban Mobility
The impact Uber has on the city of Accra is no doubt a positive and encouraging one. We have helped provide more choice to people on how they move around their cities and have increased the economic opportunities for the people of Accra.
Uber et Bim : la plus belle expérience d’une sortie au restaurant
Stage side, under the tents, or on the streets—add sizzle to your summer, with FRINGE WORLD and Uber
We’re teaming up with FRINGE WORLD so you can enjoy every moment. Ride with Uber during the festival for a chance to win exciting giveaways.
uberPOP stopt in Nederland
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
A. Jain, S. Casas, R. Liao, Y. Xiong, S. Feng, S. Segal, R. Urtasun
Our research shows that non-parametric distributions can capture extremely well the (erratic) pedestrian behavior. We propose Discrete Residual Flow, a convolutional neural network for human motion prediction that accurately models the temporal dependencies and captures the uncertainty inherent in long-range motion forecasting. In particular, our method captures multi-modal posteriors over future human motion very realistically. [PDF]
Conference on Neural Information Processing Systems (NeurIPS), 2019
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks
D. Lee, Y. Gu, J. Hoang, M. Marchetti-Bowick
Using weakly intent label can potentially predict the interaction and the resulting trajectory better. We use a GNN to model the interaction. [PDF]
Conference on Neural Information Processing Systems (NeurIPS), 2019
The Reversible Residual Network: Backpropagation Without Storing Activations
A. Gomez, M. Ren, Raquel Urtasun, R. Grosse
Residual Networks (ResNets) have demonstrated significant improvement over traditional Convolutional Neural Networks (CNNs) on image classification, increasing in performance as networks grow both deeper and wider. However, memory consumption becomes a bottleneck as one needs to store all the intermediate activations for calculating gradients using backpropagation. […] [PDF]
Advances in Neural Information Processing Systems (NeurIPS), 2017