Schedule


The course content and sequence may be adjusted based on the duration of the lecture and the interests of the students. Additional readings, assignments, and projects may also be included to enhance the learning experience.

Week Date Topics Lecturer Material
1 6 Sep Introduction Jin-Hwa Kim
2 13 Sep Multimodal Tasks and Datasets Jiyoung Lee
3 20 Sep Multimodal Representation Learning Jin-Hwa Kim
4 27 Sep Multimodal Reasoning and Interpretability Jiyoung Lee
5 4 Oct Multimodal Generation Junho Kim (Guest lecturer)
6 11 Oct Self-supervised Learning Sangdoo Yun
7 18 Oct Multimodal Pre-training Sangdoo Yun
9 25 Oct Project Proposal A & B -
8 1 Nov Advanced Topics in Multimodal Models Sangdoo Yun
10 8 Nov Multimodal Generation: Advanced Topics in Audio/Video Jiyoung Lee
11 15 Nov Neural Graphics Jin-Hwa Kim
12 22 Nov Topics in Neural Graphics Jin-Hwa Kim
13 29 Nov Final presentations A -
14 6 Dec Final presentations B -
15 19 Dec Topics in Trustworthy AI -- Safety, Ethics, and Privacy Sangdoo Yun