no code implementations • 26 Jan 2022 • Yongchan Kwon, Antonio Ginart, James Zou
We introduce a new environment that allows ML predictors to use active learning algorithms to purchase labeled data within their budgets while competing against each other to attract users.
no code implementations • 4 Jan 2022 • Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo
Recent data-extraction attacks have exposed that language models can memorize some training samples verbatim.
no code implementations • 28 Apr 2021 • Antonio Ginart, Martin Zhang, James Zou
Post-deployment monitoring of ML systems is critical for ensuring reliability, especially as new user inputs can differ from the training distribution.
no code implementations • 15 Sep 2020 • Antonio Ginart, Eva Zhang, Yongchan Kwon, James Zou
A service that is more often queried by users, perhaps because it more accurately anticipates user preferences, is also more likely to obtain additional user data (e. g. in the form of a Yelp review).
6 code implementations • 25 Sep 2019 • Antonio Ginart, Maxim Naumov, Dheevatsa Mudigere, Jiyan Yang, James Zou
Embedding representations power machine intelligence in many applications, including recommendation systems, but they are space intensive -- potentially occupying hundreds of gigabytes in large-scale settings.
4 code implementations • NeurIPS 2019 • Antonio Ginart, Melody Y. Guan, Gregory Valiant, James Zou
Intense recent discussions have focused on how to provide individuals with control over when their data can and cannot be used --- the EU's Right To Be Forgotten regulation is an example of this effort.