Andrew is a software engineer at Google. Prior to that he completed a PhD in machine
learning at the University of Edinburgh and a MA in computer science at the
University of Cambridge.
Google Publications
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Gradient Penalties for Generative Adversarial
Networks
Andrew Dai, Balaji Lakshminarayanan, Ian Goodfellow, Liam Fedus, Mihaela Rosca, Shakir Mohamed
ICLR (2018) (to appear)
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MaskGAN: Better Text Generation via Filling in the
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Andrew Dai, Ian
Goodfellow, Liam Fedus
ICLR (2018) (to appear)
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Who said what: Modeling individual labelers
improves classification
Melody Guan, Varun
Gulshan, Andrew Dai, Geoffrey Hinton
AAAI (2018)
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Adversarial Training Methods for Semi-Supervised
Text Classification
Takeru Miyato, Andrew M. Dai, Ian Goodfellow
ICLR (2017)
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HyperNetworks
David Ha, Andrew
Dai, Quoc V. Le
ICLR (2017)
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Who Said What: Modelling Individual Labels Improves
Classification
Melody Y. Guan, Varun
Gulshan, Andrew M. Dai, Geoffrey Hinton
CVPR Workshop (2017)
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Generating Sentences from a Continuous Space
Samuel R. Bowman, Luke Vilnis, Oriol
Vinyals, Andrew M. Dai, Rafal Jozefowicz,
Samy Bengio
CoNLL (2016)
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HyperNetworks
David Ha, Andrew
Dai, Quoc Le
ICLR (2016)
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Virtual Adversarial Training for Semi-Supervised
Text Classification
Takeru Miayto, Andrew M. Dai, Ian Goodfellow
arXiv preprint (2016)
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Document embedding with paragraph vectors
Andrew M. Dai, Christopher Olah, Quoc V. Le
NIPS Deep Learning Workshop (2015)
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Semi-supervised sequence learning
Andrew M. Dai, Quoc V. Le
Advances in Neural Information Processing Systems, NIPS (2015)
Previous Publications
