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The objective of unsupervised domain adaptation is to leverage features from a labeled source domain and learn a classifier for an …
We examine the problem of question answering over knowledge graphs, focusing on simple questions that can be answered by the lookup of …
Convergence to an optimal policy using model-based rein- forcement learning can require significant exploration of the environment. In …
At present, the vast majority of building blocks, techniques, and architectures for deep learning are based on real-valued operations …
Rainfall is a problem in automated traffic surveillance. Rain streaks occlude the road users and degrade the overall visibility which …
This paper addresses the complete area coverage problem of a known environment by multiple-robots. Complete area coverage is the …
We present a robust multi-robot convoying approach that relies on visual detection of the leading agent, thus enabling target following …
We introduce a hierarchical architecture for machine reading capable of extracting precise information from long documents. The model …
We present a framework for question answering that can efficiently scale to longer documents while maintaining or even improving …