2288 results for "earn" across all locations
Turbocharging Analytics at Uber with our Data Science Workbench
Uber Engineering’s data science workbench (DSW) is an all-in-one toolbox that leverages aggregate data for interactive analytics and machine learning.
From Light to Dark: The Story Behind Dark Mode on the Android Uber App
Turn off the lights! Learn about our journey implementing dark mode on Android, and the strategies that made it possible.
Engineering Confidence: A Beginner’s Guide to Overcoming Imposter Syndrome
How do you overcome imposter syndrome? Act with confidence, follow your first instinct, and always be learning and teaching.
We’re looking for all-star brand ambassadors in Accra!
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
R. Wang, J. Lehman, J. Clune, K. Stanley
While the history of machine learning so far encompasses a series of problems posed by researchers and algorithms that learn their solutions, an important question is whether the problems themselves can be generated by the algorithm at the same time as they are being solved. […] [PDF]
2019
4 fantastic bookstores in Miami
Looking for used books, comic books, new novels, cookbooks, or children’s stories in Miami? Visit these 4 popular bookstores with Uber.
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
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Building upon our existing open-ended learning research, Uber AI released Enhanced POET, a project that incorporates an improved algorithm and allows for more diverse training environments.
4 Roles, 6 Years, and Still Learning at Uber
After 4 roles and 6 years at Uber, in Costa Rica on our Community Operations team, Biancka is still learning every day.
Differentiable Compositional Kernel Learning for Gaussian Processes
S. Sun, G. Zhang, C. Wang, W. Zeng, J. Li, R. Grosse
The generalization properties of Gaussian processes depend heavily on the choice of kernel, and this choice remains a dark art. We present the Neural Kernel Network (NKN), a flexible family of kernels represented by a neural network. […] [PDF]
International Conference on Machine Learning (ICML), 2018