| Learning fair representation with a parametric integral probability metric D Kim, K Kim, I Kong, I Ohn, Y Kim International Conference on Machine Learning, 11074-11101, 2022 | 18 | 2022 |
| SLIDE: A surrogate fairness constraint to ensure fairness consistency K Kim, I Ohn, S Kim, Y Kim Neural Networks 154, 441-454, 2022 | 6 | 2022 |
| Lq regularization for fair artificial intelligence robust to covariate shift S Kim, S Kim, K Kim, Y Kim Statistical Analysis and Data Mining: The ASA Data Science Journal 16 (3 …, 2023 | 1 | 2023 |
| ODIM: outlier detection via likelihood of under-fitted generative models D Kim, J Hwang, J Lee, K Kim, Y Kim arXiv preprint arXiv:2301.04257, 2023 | 1 | 2023 |
| Fairness Through Matching K Kim, I Kong, J Lee, M Chae, S Park, Y Kim arXiv preprint arXiv:2501.02793, 2025 | | 2025 |
| IOFM: using the interpolation technique on the over-fitted models to identify clean-annotated samples D Kim, Y Choi, K Kim, I Ohn, Y Kim Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13104 …, 2024 | | 2024 |
| Measuring Fairness Using Probable Segmentation for Continuous Sensitive Attributes E Kim, M Kim, K Kim, I Kong, Y Kim, K Lee | | |
