Two Ph.D. candidates in the Machine Learning Department, School of Computer Science, are among 36 outstanding students in computer science and engineering from 16 universities who have been named 2020 recipients of the Facebook Fellowship Program.
Each Facebook fellow receives tuition and fees for up to two academic years and a stipend of $42,000, which includes conference travel support. Facebook received applications from 1,876 students at more than 100 universities for this year’s program.
The Facebook fellowship program chose Devendra Singh Chaplot, a Ph.D. student in the Machine Learning Department (MLD), as a fellow in computer vision. His research aims to design algorithms capable of “physical intelligence,” i.e., building intelligent embodied autonomous agents capable of learning to perform complex tasks in the physical world that involve perception, natural language understanding, reasoning, planning, and sequential decision making.
Hubert Tsai, a Ph.D. student in machine learning, was named a fellow in spoken language processing and audio classification. Tsai’s research goal is to understand computational and statistical principals in spoken language modeling. He plans to use these principals to enhance representation interpretability and improve data efficiency.
Finalists in machine learning also included Ph.D. student Lisa Lee, whose research focuses on building AI agents that can learn and adapt as humans and animals do to their respective environments.
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