Barret Zoph

E116777

Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.

All labels observed (1)

Label Occurrences
Barret Zoph canonical 3

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Statements (31)

Predicate Object
instanceOf machine learning researcher
person
affiliation Google Brain
authorOf Learning Transferable Architectures for Scalable Image Recognition
Neural Architecture Search with Reinforcement Learning
coauthorWith Barret Zoph
Jonathon Shlens
Quoc V. Le
Vijay Vasudevan
contributedTo advances in neural architecture search
automated design of neural network architectures
employer Google
Google Brain
fieldOfWork deep learning
machine learning
hasCitizenship United States (inferred)
influencedField AutoML
computer vision
knownFor deep learning research
neural architecture search
languageOfWorkOrName English
notableWork Learning Transferable Architectures for Scalable Image Recognition
Neural Architecture Search with Reinforcement Learning
publicationVenue Conference on Computer Vision and Pattern Recognition
International Conference on Learning Representations
linked to: ICLR
researchArea automated machine learning
convolutional neural networks
neural architecture search
usedMethod reinforcement learning for architecture search
search over neural network architectures
workLocation Google Brain

How these facts were elicited

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

Christian Szegedy coAuthor Barret Zoph
Quoc V. Le coAuthorWith Barret Zoph
Barret Zoph coauthorWith Barret Zoph