Recommender systems trained in a continuous learning fashion are plagued...
Deep Neural Networks (DNNs) with sparse input features have been widely ...
Recommender systems constitute the core engine of most social network
pl...
Deep learning frameworks have often focused on either usability or speed...
One of the challenges in display advertising is that the distribution of...
Predicting human fixations from images has recently seen large improveme...
Despite the breakthroughs in accuracy and speed of single image
super-re...
In this paper we present Latent-Class Hough Forests, a method for object...