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2227 results for "earn" across all locations

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Stories 14 September 2017 / Atlanta

New Atlanta Stadium ride guide: Getting there

Before you head out, learn about the options you’ve got to help you save time and money when traveling to or from the stadium.

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Products 25 September 2017 / Trinidad and Tobago

Enable Uber notifications in you phone and improve your experience

Learn why is it important to enable your uber notifications in your phone. It is super easy and it will help you to improve your trip experience.

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Products 28 June 2016 / Connecticut

uberX is getting cheaper in Hartford

Today, we’re dropping prices in Hartford County by 15%. That means any ride starting in Hartford will now be 15% less than before. Learn more.

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Promotions 5 February 2016 / Connecticut

Win a Valentine’s Day Weekend Getaway

We’re giving away a package for you and a special friend with everything you need for the perfect Valentine’s Day weekend. Learn how to enter for a chance to win.

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Driver promotions 8 October 2024 / Hong Kong

限時「路路賞」賺取額外獎金🚗

【領取 HK$1,000「首程賞」獎金】歡迎成為 Uber 的士司機夥伴🚗

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Driver products 20 September 2024 / Slovakia

Nahrávanie fotky vozidla s polepom

Inštrukcie pre pravidelné nahrávanie fotky vozidla s polepom.

Delivery products, Deliver 19 July 2024 / Mexico

Uber Flash – Envío de artículos con Protección de Artículo

Vea cómo funciona la protección de artículos para Uber Flash.

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Driver products 5 August 2024 / Czech Republic

Nahrávání fotky vozidla s polepem

Instrukce pro pravidelné nahrávání fotky vozidla s polepem.

Drive 2 March 2017 / New Jersey

#UberMVP Driver-Partner Challenge | Official Rules

Uber AI, Engineering 1 July 2017 / Global

Few-Shot Learning Through an Information Retrieval Lens

E. Triantafillou, R. Zemel, R. Urtasun
Few-shot learning refers to understanding new concepts from only a few examples. We propose an information retrieval-inspired approach for this problem that is motivated by the increased importance of maximally leveraging all the available information in this low-data regime. [PDF]
Code: [LINK]
Advances in Neural Information Processing Systems (NeurIPS), 2017

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