Language & Vision
Offered By: MITCBMM via YouTube
Course Description
Overview
Explore the intersection of language and vision in this 59-minute lecture by Andrei Barbu from MIT. Delve into topics such as communication, deep networks, and deep RT, while examining the integration of language into AI systems. Discover sampling-based planners, multi-tasking in AI, and the concept of theory of mind. Investigate joint distributions, paraphrasing techniques, and the importance of compositionality in language and vision tasks. Gain insights into both small-scale and large-scale questions in this field, and participate in a poster session to further discuss and explore these cutting-edge concepts.
Syllabus
Intro
Communication
Language
Deep Network
Deep RT
Adding Language
Sampling Based Planner
Gscan
SamplingBased Planner
Rodents
MultiTasking
Joint Distribution
Paraphrase
Poster Session
Theory of Mind
Small and Large
Questions
Compositionality
Taught by
MITCBMM
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