Quoc Le
Co-author of the sequence-to-sequence, GNMT, and neural architecture search papers at Google
Quoc V. Le co-authored Sequence to Sequence Learning with Neural Networks (2014) with Ilya Sutskever and Oriol Vinyals, all listed at Google. With a Google Brain affiliation, Le co-authored Neural Architecture Search with Reinforcement Learning (2016) with Barret Zoph and the 2017 paper that introduced the sparsely-gated mixture-of-experts layer, and Le is also a co-author of the 2016 paper presenting GNMT, Google's neural machine translation system.1234
Work
Sequence to sequence learning (external site: arxiv.org)Published research
Co-author of Sequence to Sequence Learning with Neural Networks (2014), which maps an input sequence to an output sequence with multilayered LSTM networks.1
Neural architecture search (external site: arxiv.org)Published research
Co-author, with Barret Zoph, of the 2016 Google Brain paper that trains a recurrent network with reinforcement learning to generate neural network architectures.2
Google's Neural Machine Translation system (GNMT) (external site: arxiv.org)Published research
Co-author of the 2016 paper presenting GNMT, Google's neural machine translation system.4
Sparsely-gated mixture-of-experts layer (external site: arxiv.org)Published research
Co-author of Outrageously Large Neural Networks (2017), which applies conditional computation through a sparsely-gated mixture-of-experts layer.3
Other documented roles
Roles the sources document but that are not confirmed as current.
- Listed with Google and Google Brain affiliations on 2014–2017 papers, Google Brain1235
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