Structured Complex Task Decomposition (SCTD) is the problem of breaking ...
Automated reasoning with unstructured natural text is a key requirement ...
Graph data is used in a wide range of applications, while analyzing grap...
Standard empirical risk minimization (ERM) training can produce deep neu...
Mobile networks (MN) are anticipated to provide unprecedented opportunit...
AlphaStar, the AI that reaches GrandMaster level in StarCraft II, is a
r...
Building a recommendation system that serves billions of users on daily ...
Nowadays, recommender systems (RSes) are becoming increasingly important...
The primary goal of a recommender system is often known as "helping user...
Though it has been recognized that recommending serendipitous (i.e.,
sur...
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge,
p...
Blind motion deblurring is one of the most basic and challenging problem...
Many artificial intelligence (AI) applications often require multiple
in...
The ability to track the optimum of dynamic environments is important in...
A revised weight-coded evolutionary algorithm (RWCEA) is proposed for so...