iSchool faculty, staff, and students will present their research at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), which will be held from December 10-16 in New Orleans, Louisiana. NeurIPS is one of the most prestigious and competitive international conferences in machine learning and computational neuroscience.
PhD students Yunzhe Qi and Tianxi Wei were both selected as NeurIPS Scholars. The award will cover their conference registration and hotel expenses.
Assistant Professor Haohan Wang will present his coauthored poster, "Generating and Distilling Discrete Adversarial Examples from Large-Scale Models," at 10:45 a.m.
Professor Jingrui He, Assistant Professor Haohan Wang, and PhD student Tianxin Wei will present their coauthored poster, "Adaptive Test-Time Personalization for Federated Learning," at 10:45 a.m.
Assistant Professor Jiaqi Ma will present his coauthored poster, "Post Hoc Explanations of Language Models Can Improve Language Models," at 5:15 p.m.
Assistant Professor Jiaqi Ma will present his coauthored poster, "A Metadata-Driven Approach to Understand Graph Neural Networks," at 10:45 a.m.
Professor Jingrui He and PhD students Yunzhe Qi and Tianxin Wei will present their coauthored poster, "Meta-Learning with Neural Bandit Scheduler," at 5:00 p.m.
Professor Jingrui He will present her coauthored poster, "Graph-Structured Gaussian Processes for Transferable Graph Learning," at 10:45 a.m.
Assistant Professor Jiaqi Ma co-organized the workshop, "Regulatable ML: Towards Bridging the Gaps between Machine Learning Research and Regulations," which will bring together AI/machine learning researchers, social scientists, and policy makers to discuss burning questions at the intersection between machine learning and policy.