| Representation via representations: Domain generalization via adversarially learned invariant representations Z Deng, F Ding, C Dwork, R Hong, G Parmigiani, P Patil, P Sur arXiv preprint arXiv:2006.11478, 2020 | 23 | 2020 |
| Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp R Hong, W Agnew, T Kohno, J Morgenstern Proceedings of the 4th ACM Conference on Equity and Access in Algorithms …, 2024 | 6 | 2024 |
| Evaluation of targeted dataset collection on racial equity in face recognition R Hong, T Kohno, J Morgenstern Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 531–541, 2023 | 3 | 2023 |
| Sound Check: Auditing Audio Datasets W Agnew, J Barnett, A Chu, R Hong, M Feffer, R Netzorg, HH Jiang, ... arXiv preprint arXiv:2410.13114, 2024 | | 2024 |
| Fairness through partial awareness: Evaluation of the addition of demographic information for bias mitigation methods CP Lee, R Hong, JH Morgenstern ICML 2024 Next Generation of AI Safety Workshop, 0 | | |
| A Theoretical View of Adversarial Domain Generalization in the Hierarchical Model Setting Z Deng, F Ding, C Dwork, R Hong, G Parmigiani, P Patil, P Sur | | |
