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20142010s
Quoc V. Le
Google Brain researcher behind sequence-to-sequence learning, neural architecture search, and the cat-detecting network.
Organizations
Google BrainGoogle DeepMindStanford University
Major Achievements
- •Co-authored sequence-to-sequence learning (2014), the encoder–decoder framework behind neural machine translation.
- •Led the 2012 Google Brain experiment in which an unsupervised network learned to detect cats from unlabelled video.
- •Introduced neural architecture search, letting models design their own architectures.
- •Co-developed the seq2seq and AutoML lines that fed directly into Google's later language models.
Key Papers
- Neural Architecture Search with Reinforcement Learning
Barret Zoph, Quoc V. Le · ICLR 2017 · 2016
- Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, Quoc V. Le · NeurIPS 2014