1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 1 cited
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains
Krithika Ramesh, Nupoor Gandhi, Pulkit Madaan +3
The difficulty of anonymizing text data hinders the development and deployment of NLP in high-stakes domains that involve private data, such as healthcare and social services. Poor…
cs.LG2022
A Case for Rejection in Low Resource ML Deployment
Jerome White, Pulkit Madaan, Nikhil Shenoy +3
Building reliable AI decision support systems requires a robust set of data on which to train models; both with respect to quantity and diversity. Obtaining such datasets can be di…