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1
Intro
2
Communication
3
Language
4
Deep Network
5
Deep RT
6
Adding Language
7
Sampling Based Planner
8
Gscan
9
SamplingBased Planner
10
Rodents
11
MultiTasking
12
Joint Distribution
13
Paraphrase
14
Poster Session
15
Theory of Mind
16
Small and Large
17
Questions
18
Compositionality
Description:
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.

Language & Vision

MITCBMM
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