Advanced Topics in Computer Science: Frontiers in Deep Learning

This seminar course focuses on reading and discussing the latest advancements and major milestones in various topics of deep learning. Topics include Large Language Models, vision perception/generation models, multimodal models, reasoning, architectures, training, efficiency, and interdisciplinary AI applications. Students will engage in paper presentations and discussions, guest lectures, and a course research project related to deep learning. Prior background in deep learning, computer vision, and/or natural language processing is required.