1441 results for "replacements" across all locations
Les agences, on s’en occupe
Des voyages aux événements, en passant par les rencontres avec les clients et les repas hors site, découvrez à quel point le travail en agence peut s’avérer plus simple et moins stressant en utilisant Uber for Business.
Uber – Las Vegas 2018 Sweepstakes Official Rules
Official Rules for the Uber – Las Vegas 2018 Sweepstakes.
Want to upgrade your mornings?
Are you rushing your way to work, while balancing your belongings and peace of mind? We are here to make your life simple. Upgrade your mornings
Sahl Hasheesh: Your UberTUKTUK has arrived…for free!
UberTUKTUK has arrived in Sahl Hasheesh this Eid for free
UberSUV – Room For Everyone
Night outs with Uber in Mumbai
Enjoy special uberGO fares from 12am to 7:30am
Post Navratri Special – Pamper yourself with free spa vouchers
After the endless Navratri celebration – dandiya nights, blasting music and sound of dandiya sticks clanking, we know how difficult it gets to…
The same Uber experience, now at ₹6/km!
Probabilistic Meta-Representations Of Neural Networks
T. Karaletsos, P. Dayan, Z. Ghahramani
Existing Bayesian treatments of neural networks are typically characterized by weak prior and approximate posterior distributions according to which all the weights are drawn independently. Here, we consider a richer prior distribution in which units in the network are represented by latent variables, and the weights between units are drawn conditionally on the values of the collection of those variables. […] [PDF]
UAI 2018 Uncertainty In Deep Learning Workshop (UDL), 2018
Characterizing how Visual Question Answering models scale with the world
E. Bingham, P. Molino, P. Szerlip, F. Obermeyer, N. Goodman
Detecting differences in generalization ability between models for visual question answering tasks has proven to be surprisingly difficult. We propose a new statistic, asymptotic sample complexity, for model comparison, and construct a synthetic data distribution to compare a strong baseline CNN-LSTM model to a structured neural network with powerful inductive biases. […] [PDF]
ViGIL @ NeurIPS(NeurIPS), 2017