SS23: Machine Learning for Language and Vision

Course description

Machine learning in language and vision has the potential to revolutionize the way we interact with computers, enabling more natural and intuitive communication, and bridging the gap between humans and machines. As we push the boundaries of these interdisciplinary domains, the development of sophisticated algorithms and models can lead to groundbreaking applications, such as creating more engaging visual storytelling, improving human-computer interfaces, and enhancing artificial intelligence's overall capability to comprehend and generate complex, context-rich information. By delving into state-of-the-art techniques, including pre-training, multitask learning, parameter efficiency, and reinforcement learning, we aim to inspire participants to further explore the exciting possibilities that lie at the intersection of language and vision.