Joint Learning of Set Cardinality and State Distribution

    national conference on artificial intelligence, 2018.

    Cited by: 12|Bibtex|Views29|Links
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    Abstract:

    We present a novel approach for learning to predict sets using deep learning. In recent years, deep neural networks have shown remarkable results in computer vision, natural language processing and other related problems. Despite their success, traditional architectures suffer from a serious limitation in that they are built to deal with ...More

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