Quoc V. Le
E46144
Google employee
Vietnamese person
artificial intelligence researcher
computer scientist
machine learning researcher
Quoc V. Le is a prominent computer scientist and AI researcher known for his influential work in deep learning and large-scale machine learning at Google.
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Google employee
ⓘ
Vietnamese person ⓘ artificial intelligence researcher ⓘ computer scientist ⓘ machine learning researcher ⓘ |
| affiliation |
Google Brain
ⓘ
Google Research ⓘ |
| coAuthorOf |
AutoML: A Survey of the State-of-the-Art
ⓘ
Large-Scale Distributed Deep Networks ⓘ
surface form:
Building High-level Features Using Large Scale Unsupervised Learning
Distributed Representations of Sentences and Documents ⓘ Exploring the Limits of Language Modeling ⓘ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation ⓘ Long-term Recurrent Convolutional Networks for Visual Recognition and Description ⓘ Neural Architecture Search ⓘ
surface form:
Neural Architecture Search with Reinforcement Learning
Sequence to Sequence Learning with Neural Networks ⓘ |
| coAuthorWith |
Andrew Ng
ⓘ
surface form:
Andrew Y. Ng
Barret Zoph ⓘ Ilya Sutskever ⓘ Jeff Dean ⓘ Lukasz Kaiser ⓘ Mike Schuster ⓘ Oriol Vinyals ⓘ Samy Bengio ⓘ Tomas Mikolov ⓘ |
| doctoralThesisTopic | machine learning ⓘ |
| educatedAt | Stanford University ⓘ |
| employer |
Google
ⓘ
Google Brain ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
deep learning ⓘ large-scale machine learning ⓘ machine learning ⓘ natural language processing ⓘ |
| hasAcademicAdvisor |
Andrew Ng
ⓘ
surface form:
Andrew Y. Ng
|
| knownFor |
AutoML research
ⓘ
Google Brain ⓘ
surface form:
Google Brain project
Neural Architecture Search ⓘ deep learning research ⓘ large-scale neural networks ⓘ neural machine translation ⓘ sequence-to-sequence learning ⓘ |
| language |
English
ⓘ
Vietnamese ⓘ |
| nationality | Vietnamese ⓘ |
| notableContribution |
advances in sequence-to-sequence models for NLP
ⓘ
development of neural architecture search methods ⓘ pioneering large-scale unsupervised learning on video and image data ⓘ |
| workLocation | Mountain View, California NERFINISHED ⓘ |
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.