2315 results for "earn" across all locations
Inside Uber HQ: the story behind Share Trip
Get the inside scoop on our Share Trip feature as we interview Uber product manager Ambar.
Austin’s top 5 outdoor activities for summer
With parks, pools, and pretty natural attractions, Austin boasts many places to enjoy the outdoors this summer 2017.
Celebrating International Women’s Day in Washington, D.C. with the Family
5 Must-see Attractions for Animal Enthusiasts in Miami
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
Uber Freight partners with Salesforce and Eat. Learn. Play. to help feed 1 million families
Uber Freight will provide freight and logistics support, covering all costs of transporting the fresh produce from farms to warehouses.
Inside Uber ATG’s Data Mining Operation: Identifying Real Road Scenarios at Scale for Machine Learning
Uber ATG’s self-driving vehicles measure a multitude of possible scenario variations to answer the age-old question: “how does the pedestrian cross the road?”
Ludwig v0.2 Adds New Features and Other Improvements to its Deep Learning Toolbox
Ludwig version 0.2 integrates with Comet.ml, adds a new serving functionality, and incorporates the BERT text encoder, among other new features.
Optimal Feature Discovery: Better, Leaner Machine Learning Models Through Information Theory
4 Uber employees share what inspires them—and how they’re making 2018 their year
4 employees tell us how they’re meeting their goals this year, from pursuing lifelong passions to finding the confidence to try new things