Pooling multiple neuroimaging datasets across institutions often enables...
Uncertainty estimation in deep models is essential in many real-world
ap...
Learning invariant representations is an important requirement when trai...
Learning invariant representations is a critical first step in a number ...
Algorithmic decision making based on computer vision and machine learnin...
We consider an active learning setting where the algorithm has access to...
Rectified Linear Units (ReLUs) are among the most widely used activation...
In this paper, we introduce a new optimization approach to Entity Resolu...