2269 results for "earn" across all locations
Magnetic Hamiltonian Monte Carlo
N. Tripuraneni, M. Rowland, Z. Ghahramani, R. Turner
Hamiltonian Monte Carlo (HMC) exploits Hamiltonian dynamics to construct efficient proposals for Markov chain Monte Carlo (MCMC). In this paper, we present a generalization of HMC which exploits textit{non-canonical} Hamiltonian dynamics. […] [PDF]
International Conference on Machine Learning (ICML), 2017
Graph Partition Neural Networks for Semi-Supervised Classification
R. Liao, M. Brockschmidt, D. Tarlow, A. Gaunt, R. Urtasun, R. Zemel
We present graph partition neural networks (GPNN), an extension of graph neural networks (GNNs) able to handle extremely large graphs. GPNNs alternate between locally propagating information between nodes in small subgraphs and globally propagating information between the subgraphs. […] [PDF]
Workshop @ International Conference on Machine Learning (ICLR), 2018
Leveraging Constraint Logic Programming for Neural Guided Program Synthesis
L. Zhang, G. Rosenblatt, E. Fetaya, R. Liao, W. Byrd, R. Urtasun, R. Zemel
We present a method for solving Programming by Example (PBE) problems that tightly integrates a neural network with a constraint logic programming system called miniKanren. Internally, miniKanren searches for a program that satisfies the recursive constraints imposed by the provided examples. […] [PDF]
International Conference on Machine Learning (ICLR), 2018
Top 5 de lugares para visitar en Temuco
Descubre qué hacer en Temuco con esta guía de lugares para visitar de la capital de la Araucanía. ¡Anímate, descubre y disfruta de Temuco!
Need to cool off? Enjoy Dallas-Fort Worth’s top 10 water-inspired activities.
Need a water getaway? Visit Dallas-Fort Worth’s awesome aquarium, lakes, top watering holes, and more with the help of Uber this summer.
Lower Prices; Increased Demand
Every city has its busy times and times when things are slow. New York City is no exception. In the summer, the city empties out as people head off on vacation. In the fall, it’s full of tourists doing their holiday shopping. And by January, once the sales have finished, things tend to quiet down again. Whatever a city’s seasonality, the down times can be tough for drivers. So today we’re cutting uberX rates by 15%. Learn more.
Uber x Betterment: Flexible Options to Save for the Future
Let’s face it: saving — especially for the long term — is tough. Whether it’s an unexpected bill or a weekend splurge, too often the money we meant to stash away for tomorrow tends to find its way out the door today. That’s why we’re excited to partner with Betterment to offer flexible retirement accounts to Uber driver partners. Learn how to make the most with every mile…
UPSNet: A Unified Panoptic Segmentation Network
Y. Xiong, R. Liao, H. Zhao, R. Hu, M. Bai, E. Yumer, 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
HDNET: Exploiting HD Maps for 3D Object Detection
B. Yang, M. Liang, R. Urtasun
In this paper we show that High-Definition (HD) maps provide strong priors that can boost the performance and robustness of modern 3D object detectors. Towards this goal, we design a single stage detector that extracts geometric and semantic features from the HD maps. […] [PDF]
Conference on Robot Learning (CORL), 2018
Lost Relatives of the Gumbel Trick
M. Balog, N. Tripuraneni, Z. Ghahramani, A. Weller
The Gumbel trick is a method to sample from a discrete probability distribution, or to estimate its normalizing partition function. The method relies on repeatedly applying a random perturbation to the distribution in a particular way, each time solving for the most likely configuration. […] [PDF]
International Conference on Machine Learning (ICML), 2017