4 citations · 8 across the 5 of their papers we have counts for
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cs.LG2024★ 2 cited
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen +34
"Machine unlearning" is a popular proposed solution for mitigating the existence of content in an AI model that is problematic for legal or moral reasons, including privacy, copyri…
cs.GT2024
An Abundance of Katherines: The Game Theory of Baby Naming
Katy Blumer, Kate Donahue, Katie Fritz +5
In this paper, we study the highly competitive arena of baby naming. Through making several Extremely Reasonable Assumptions (namely, that parents are myopic, perfectly knowledgeab…