We address the problem of hate speech detection in online user comments. Hate speech,
defined as an "abusive speech targeting specific group characteristics, such as ethnicity, …

Automated annotation of protein function is challenging. As the number of sequenced
genomes rapidly grows, the overwhelming majority of protein products can only be annotated …

Autonomous driving presents one of the largest problems that the robotics and artificial
intelligence communities are facing at the moment, both in terms of difficulty and potential …

In recent years online advertising has become increasingly ubiquitous and effective.
Advertisements shown to visitors fund sites and apps that publish digital content, manage social …

We address one of the crucial aspects necessary for safe and efficient operations of
autonomous vehicles, namely predicting future state of traffic actors in the autonomous vehicle's …

Uber is a popular ride-sharing application that matches people who need a ride (or riders)
with drivers who are willing to provide it using their personal vehicles. Despite its growing …

Search engines represent one of the most popular web services, visited by more than 85%
of internet users on a daily basis. Advertisers are interested in making use of this vast …

Self-driving vehicles (SDVs) hold great potential for improving traffic safety and are poised
to positively affect the quality of life of millions of people. To unlock this potential one of the …

Consumer spending accounts for a large fraction of economic footprint of modern countries.
Increasingly, consumer activity is moving to the web, where digital receipts of online …

We present an end-to-end method for object detection and trajectory prediction utilizing multi-view
representations of LiDAR returns. Our method builds on a state-of-the-art Bird's-Eye …