research
∙
08/18/2020
Multi-Modal Trajectory Prediction of NBA Players
National Basketball Association (NBA) players are highly motivated and s...
share
research
∙
06/20/2019
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets
Following detection and tracking of traffic actors, prediction of their ...
research
∙
09/18/2018
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Autonomous driving presents one of the largest problems that the robotic...
research
∙
08/17/2018
Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks
Despite its ubiquity in our daily lives, AI is only just starting to mak...
research
∙
08/17/2018
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks
Recent algorithmic improvements and hardware breakthroughs resulted in a...
research
∙
07/11/2017
Proceedings of the 2017 AdKDD & TargetAd Workshop
Proceedings of the 2017 AdKDD and TargetAd Workshop held in conjunction ...
research
∙
07/07/2016
Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising
Sponsored search represents a major source of revenue for web search eng...
research
∙
06/29/2016
Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests
We consider the problem of personalization of online services from the v...
research
∙
06/28/2016
Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content
We consider the problem of learning distributed representations for docu...
research
∙
06/27/2016
Network-Efficient Distributed Word2vec Training System for Large Vocabularies
Word2vec is a popular family of algorithms for unsupervised training of ...
research
∙
06/23/2016
Gender and Interest Targeting for Sponsored Post Advertising at Tumblr
As one of the leading platforms for creative content, Tumblr offers adve...
research
∙
06/23/2016
