A Convolutional Attention Network for Extreme Summarization of Source CodeDownload PDFOpen Website

2016 (modified: 11 Nov 2022)ICML 2016Readers: Everyone
Abstract: Attention mechanisms in neural networks have proved useful for problems in which the input and output do not have fixed dimension. Often there exist features that are locally translation invariant ...
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