Games for Fairness and Interpretability
Author:
Affiliation:
1. Massachusetts Institute of Technology
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3366424.3384374
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1. Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset;Scientific Reports;2022-05-03
2. A Survey of Text Games for Reinforcement Learning Informed by Natural Language;Transactions of the Association for Computational Linguistics;2022
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