| Rethinking Attention with Performers K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ... ICLR 2021, or arXiv preprint arXiv:2009.14794, 2020 | 1686 | 2020 |
| Explainable machine learning in deployment U Bhatt, A Xiang, S Sharma, A Weller, A Taly, Y Jia, J Ghosh, R Puri, ... Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 750 | 2020 |
| Accountability of AI under the law: The role of explanation F Doshi-Velez, M Kortz, R Budish, C Bavitz, S Gershman, D O'Brien, ... arXiv preprint arXiv:1711.01134, 2017 | 576 | 2017 |
| Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2020 | 432 | 2020 |
| Concrete problems for autonomous vehicle safety: Advantages of Bayesian deep learning R McAllister, Y Gal, A Kendall, M van der Wilk, A Shah, R Cipolla, ... International Joint Conference on Artificial Intelligence (IJCAI), 2017 | 411* | 2017 |
| MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models L Yu, W Jiang, H Shi, J Yu, Z Liu, Y Zhang, JT Kwok, Z Li, A Weller, W Liu ICLR 2024, or arXiv preprint arXiv:2309.12284, 2023 | 338 | 2023 |
| A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices T Speicher, H Heidari, N Grgic-Hlaca, KP Gummadi, A Singla, A Weller, ... Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 335 | 2018 |
| Leveraging data science to combat COVID-19: A comprehensive review S Latif, M Usman, S Manzoor, W Iqbal, J Qadir, G Tyson, I Castro, A Razi, ... IEEE Transactions on Artificial Intelligence, 2020 | 298 | 2020 |
| From parity to preference-based notions of fairness in classification MB Zafar, I Valera, M Rodriguez, K Gummadi, A Weller Advances in Neural Information Processing Systems, 229-239, 2017 | 280 | 2017 |
| Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, ... AIES 2021, or arXiv preprint arXiv:2011.07586, 2020 | 279 | 2020 |
| The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making N Grgic-Hlaca, MB Zafar, KP Gummadi, A Weller NeurIPS Symposium on ML and the Law, 2016 | 275 | 2016 |
| Human perceptions of fairness in algorithmic decision making: A case study of criminal risk prediction N Grgic-Hlaca, EM Redmiles, KP Gummadi, A Weller Proceedings of the 2018 World Wide Web Conference, 903-912, 2018 | 263 | 2018 |
| Transparency: motivations and challenges A Weller Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 23-40, 2019 | 258* | 2019 |
| Beyond distributive fairness in algorithmic decision making: Feature selection for procedurally fair learning N Grgić-Hlača, MB Zafar, KP Gummadi, A Weller Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 252 | 2018 |
| Evaluating and Aggregating Feature-based Model Explanations U Bhatt, A Weller, JMF Moura IJCAI, or arXiv preprint arXiv:2005.00631, 2020 | 222 | 2020 |
| Synthetic Data--what, why and how? J Jordon, L Szpruch, F Houssiau, M Bottarelli, G Cherubin, C Maple, ... arXiv preprint arXiv:2205.03257, 2022 | 182 | 2022 |
| Challenges for Transparency A Weller ICML 2017 Workshop on Human Interpretability (extended version available as …, 2017 | 177 | 2017 |
| Blind Justice: Fairness with Encrypted Sensitive Attributes N Kilbertus, A Gascón, MJ Kusner, M Veale, KP Gummadi, A Weller ICML, or arXiv preprint arXiv:1806.03281, 2018 | 175 | 2018 |
| Structured Evolution with Compact Architectures for Scalable Policy Optimization K Choromanski, M Rowland, V Sindhwani, RE Turner, A Weller ICML, or arXiv preprint arXiv:1804.02395, 2018 | 150 | 2018 |
| One-network adversarial fairness T Adel, I Valera, Z Ghahramani, A Weller Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2412-2420, 2019 | 146 | 2019 |
Umang BhattNew York University在 nyu.edu 的电子邮件经过验证
