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Abstract:

2 short talks in this session:

  • Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation by Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer

  • Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study by Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia

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