Skip to main content
All
Clear valueopen
Most relevant
Clear valueopen

1441 results for "replacements" across all locations

Post thumbnail
Ride 1February,2019 / Amsterdam

Celebrate Valentine’s Day in Amsterdam

Valentine’s Day is rolling around once more. Surely, it’s time for you and your beloved to go Dutch and celebrate in style in Amsterdam?

Post thumbnail
Products 3April,2018 / Netherlands

A Late Night Out Deserves a Comfortable Ride Home

A journey home should be as enjoyable as the night it follows!

Post thumbnail
Stories 7June,2017 / Chandigarh

Insider’s guide to Chandigarh

Insider’s guide to Chandigarh

Post thumbnail
Drive 22August,2018 / Ottawa

Uber’s Summer Getaway in Ottawa

As summer wraps up, we’re inviting our most dedicated driver-partners to take a break with friends and family at an exclusive event in Ottawa.

Post thumbnail
Stories 28May,2018 / United Arab Emirates

A compliment can go a long way

Make sure you rate your ride, and if you’re happy leave a compliment – because every week during Ramadan, we’ll be recognizing driver-partners.

Promotions 25September,2016 / Seattle

Here’s to you, Seattle

This week, we’re celebrating our 5 year anniversary with $5 uberPOOL rides during commuting hours (6am-10am and 4pm-8pm) and $5 off your UberEATS order throughout the neighborhoods that we love.

Post thumbnail
Stories 31January,2018 / Melbourne

Popular Melbourne beaches to visit this summer

Planning a day at the beach? We have 5 tips for the perfect summer picnic.

Post thumbnail
Products 14October,2017 / Chandigarh

UberHIRE: Book one ride, visit multiple destinations

This Diwali, visit all your friends and family with one Uber

Post thumbnail
Products 19February,2015 / Los Angeles

uberPOOL—Jump in!

uberPOOL – the cheapest, easiest, and quickest way to share a safe and reliable ride.

Uber AI, Engineering 1November,2017 / Global

Variational Gaussian Dropout is not Bayesian

J. Hron, A. Matthews, Z. Ghahramani
Gaussian multiplicative noise is commonly used as a stochastic regularisation technique in training of deterministic neural networks. A recent paper reinterpreted the technique as a specific algorithm for approximate inference in Bayesian neural networks; several extensions ensued. […] [PDF]
Bayesian Deep Learning Workshop @ NeurIPS, 2017