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Tri Huynh

Intern at Google

Tri Huynh is currently an intern at Google, where he has contributed to research in self-supervised learning, particularly focusing on contrastive learning techniques. His work during the internship includes a paper titled "Boosting Contrastive Self-Supervised Learning With False Negative Cancellation," which addresses challenges in representation learning by proposing methods to identify and mitigate the effects of false negatives in contrastive learning frameworks.1

In addition to his internship at Google, Tri Huynh has prior experience as a software engineering intern at A9.com and has worked in roles related to autonomous systems.2 He is based in Chicago, Illinois, and has a background in computer vision and machine learning, as indicated by his research contributions and professional experiences.

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Location

Greater Chicago Area