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A significant weakness of most current deep Convolutional Neural Networks is the need to train them using vast amounts of… Expand In this paper we address the question of how to render sequence-level networks better at handling structured input. We propose a… Expand We describe a question answering model that applies to both images and structured knowledge bases. The model uses natural… Expand A longstanding question in computer vision concerns the representation of 3D shapes for recognition: should 3D shapes be… Expand Enhancing sampling and analyzing simulations are central issues in molecular simulation. Recently, we introduced PLUMED, an open… Expand In this paper, we introduce a new domain adaptation (DA) algorithm where the source and target domains are represented by… Expand Cognitive radios hold tremendous promise for increasing spectral efficiency in wireless systems. This paper surveys the… Expand The early detection of applications associated with TCP flows is an essential step for network security and traffic engineering… Expand SummaryThis paper presents a new map representing the structure of all of science, based on journal articles, including both the… Expand Database outsourcing is an emerging data management paradigm which has the potential to transform the IT operations of… Expand