Gabriel Goh

E437212

Gabriel Goh is a machine learning researcher known for his work at OpenAI, including co-developing the CLIP model for connecting images and text.

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Gabriel Goh canonical 1

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Statements (26)

Predicate Object
instanceOf machine learning researcher
multimodal neural network model
person
scientific paper
scientific paper
coAuthorOf “Learning Transferable Visual Models From Natural Language Supervision” NERFINISHED
“Multimodal Neurons in Artificial Neural Networks” NERFINISHED
developedAt CLIP, at OpenAI NERFINISHED
developer Gabriel Goh NERFINISHED
OpenAI NERFINISHED
employer OpenAI NERFINISHED
fieldOfWork artificial intelligence
computer vision
deep learning
machine learning
natural language processing
knownFor co-developing the CLIP model
mainSubject CLIP NERFINISHED
multimodal neurons in CLIP-like models
notableWork CLIP NERFINISHED
occupation research scientist
researchArea interpretability of neural networks
multimodal learning
representation learning
use connecting images and text
workFocus connecting images and text with neural networks

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

CLIP introducedBy Gabriel Goh