| Learning vine copula models for synthetic data generation Y Sun, A Cuesta-Infante, K Veeramachaneni Proceedings of the aaai conference on artificial intelligence 33 (01), 5049-5057, 2019 | 57 | 2019 |
| Using natural sentence prompts for understanding biases in language models S Alnegheimish, A Guo, Y Sun Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 22 | 2022 |
| Preserve, promote, or attack? GNN explanation via topology perturbation Y Sun, A Valente, S Liu, D Wang arXiv preprint arXiv:2103.13944, 2021 | 7 | 2021 |
| The Backfire Effects of Fairness Constraints Y Sun, A Cuesta-Infante, K Veeramachaneni ICML 2022 Responsible Decision Making in Dynamic Environment, 2022 | 4 | 2022 |
| Learning fair classifiers in online stochastic settings Y Sun, I Ramirez, A Cuesta-Infante, K Veeramachaneni Neurips 2019 AI for Social Good, 2019 | 3 | 2019 |
| Towards Reducing Biases in Combining Multiple Experts Online Y Sun, I Ramirez, A Cuesta-Infante, K Veeramachaneni Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 1 | 2021 |
| Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance RA Hemmat, M Hall, A Sun, C Ross, M Drozdzal, A Romero-Soriano arXiv preprint arXiv:2406.04551, 2024 | | 2024 |
| The Bias of Harmful Label Associations in Vision-Language Models C Hazirbas, A Sun, Y Efroni, M Ibrahim arXiv preprint arXiv:2402.07329, 2024 | | 2024 |
| Chained Tuning Leads to Biased Forgetting M Ung, AY Sun, S Bell, L Sagun, A Williams Trustworthy Multi-modal Foundation Models and AI Agents (TiFA), 0 | | |
