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AI773: Topics in Artificial Intelligence
- Multimodal Deep Learning
Theories and Applications
This course is designed for graduate students interested in developing theories and applications of multimodal deep learning. The course will cover core concepts and fundamental theories that are applied in various enterprise applications. Assuming prior knowledge in machine learning and related topics, the course will explore multimodal deep learning from vision and language to audio and speech using deep neural networks and the techniques used in deep learning literature. If time permits, an emerging topic of neural graphics will also be discussed, focusing on studies on the NeRFs in an aspect of multi-view representation learning.
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