IS 590MSC Advanced Topics in Machine Learning & Social Computing
Open to all PhD students across campus. We focus on deep learning, generative adversarial networks, adversarial learning, word embedding, and selected current topics in AI, mainly responsible computing (especially biases in data and learning, fairness, and ethics). In this seminar, students discuss papers on these topics in depth, analyze the papers in the wider context of theories, methods, and findings from their fields, guide or lead discussions, and reflect on the discussed papers in the context of their own research. Exceptions can be made for advanced MS students who have a strong focus on research and as per their advisor's approval.