2 papers
cs.LG2024
Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks
Elad Shoham, Hadar Cohen, Khalil Wattad +2
Explainable AI (XAI) methods typically focus on identifying essential input features or more abstract concepts for tasks like image or text classification. However, for algorithmic…
cs.LG2024
Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach
Roy Fairstein, Dan Vilenchik, Kobi Gal
Participatory Budgeting (PB) offers a democratic process for communities to allocate public funds across various projects through voting. In practice, PB organizers face challenges…