no code implementations • 12 Apr 2024 • Zeyu Yang, Peikun Guo, Khadija Zanna, Akane Sano
Diffusion models have emerged as a robust framework for various generative tasks, such as image and audio synthesis, and have also demonstrated a remarkable ability to generate mixed-type tabular data comprising both continuous and discrete variables.
no code implementations • 12 Apr 2024 • Khadija Zanna, Akane Sano
To address these issues, we propose a bias mitigation method based on multi-task learning, utilizing the concept of Monte-Carlo dropout and Pareto optimality from multi-objective optimization.
no code implementations • 7 Aug 2022 • Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano
However, there is still a lack of standard in evaluating bias in such machine learning models in the field, which leads to challenges in providing reliable predictions and in addressing disparities.
no code implementations • 27 Jun 2019 • Khadija Zanna, Sayde King, Tempestt Neal, Shaun Canavan
This paper explores the identification of smartphone users when certain samples collected while the subject felt happy, upset or stressed were absent or present.