|
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 |