2020-03-05
Abstract:
Recent advances in deep neural networks (DNNs) have revolutionized fields such as natural language processing, computer vision, and robotics, while also recently impacting other fields such as biology, computational mechanics, and health care. Many of the problems appearing in these domains are structured prediction tasks, which involve predicting multiple output variables whose correlations jointly form a structure (e.g., a set, sequence, tree, or arbitrary graph). Classically, thes
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