565 citations · 568 across the 4 of their papers we have counts for
4 papers
Privacy-Preserving Dataset Combination
Keren Fuentes, Mimee Xu, Irene Chen
Access to diverse, high-quality datasets is crucial for machine learning model performance, yet data sharing remains limited by privacy concerns and competitive interests, particul…
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations
Mimee Xu, Jiankai Sun, Xin Yang +2
People break up, miscarry, and lose loved ones. Their online streaming and shopping recommendations, however, do not necessarily update, and may serve as unhappy reminders of their…
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…
Data Appraisal Without Data Sharing
Mimee Xu, Laurens van der Maaten, Awni Hannun
One of the most effective approaches to improving the performance of a machine learning model is to procure additional training data. A model owner seeking relevant training data f…