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Show, attend and tell: Neural image caption generation with visual attention

, , , , , , , and . International conference on machine learning, page 2048--2057. (2015)

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Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models, , , , and . (2015)cite arxiv:1507.04808Comment: 8 pages with references; Published in AAAI 2016 (Special Track on Cognitive Systems).On the Spectral Bias of Neural Networks, , , , , , , and . (2018)cite arxiv:1806.08734Comment: 23 pages.SampleRNN: An Unconditional End-to-End Neural Audio Generation Model, , , , , , , and . (2016)cite arxiv:1612.07837.MINE: Mutual Information Neural Estimation, , , , , , and . (2018)cite arxiv:1801.04062Comment: 19 pages, 6 figures.Representation Learning: A Review and New Perspectives, , and . (2012)cite arxiv:1206.5538.MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis, , , , , , , , and . (2019)cite arxiv:1910.06711.Deep Learning, , and . MITP, (2018)Show, attend and tell: Neural image caption generation with visual attention, , , , , , , and . International conference on machine learning, page 2048--2057. (2015)Deep Learning, , and . MIT Press, (2016)http://www.deeplearningbook.org.Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus, , , , , , and . (2016)cite arxiv:1603.06807Comment: 13 pages, 1 figure, 7 tables.