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pro vyhledávání: '"Madaan, Pulkit"'
Autor:
Ramesh, Krithika, Gandhi, Nupoor, Madaan, Pulkit, Bauer, Lisa, Peris, Charith, Field, Anjalie
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. Poorly anonymized sensitive data cannot be easily shared with annotators o
Externí odkaz:
http://arxiv.org/abs/2410.08327
Autor:
White, Jerome, Madaan, Pulkit, Shenoy, Nikhil, Agnihotri, Apoorv, Sharma, Makkunda, Doshi, Jigar
Publikováno v:
NeurIPS 2022 workshop on Challenges In Deploying And Monitoring Machine Learning Systems
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 difficult in resource limited settings, or for applications in early sta
Externí odkaz:
http://arxiv.org/abs/2208.06359