| Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and trends® in machine learning 14 (1–2), 1-210, 2021 | 5154 | 2021 |
| Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... Journal of Machine Learning Research 24 (240), 1-113, 2023 | 3412 | 2023 |
| Model cards for model reporting M Mitchell, S Wu, A Zaldivar, P Barnes, L Vasserman, B Hutchinson, ... Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 1723 | 2019 |
| Lamda: Language models for dialog applications R Thoppilan, D De Freitas, J Hall, N Shazeer, A Kulshreshtha, HT Cheng, ... arXiv preprint arXiv:2201.08239, 2022 | 1100 | 2022 |
| Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing ID Raji, A Smart, RN White, M Mitchell, T Gebru, B Hutchinson, ... Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 680 | 2020 |
| Scaling autoregressive models for content-rich text-to-image generation J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ... arXiv preprint arXiv:2206.10789 2 (3), 5, 2022 | 644 | 2022 |
| 50 years of test (un) fairness: Lessons for machine learning B Hutchinson, M Mitchell Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 355 | 2019 |
| Towards accountability for machine learning datasets: Practices from software engineering and infrastructure B Hutchinson, A Smart, A Hanna, E Denton, C Greer, O Kjartansson, ... Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 271 | 2021 |
| Social biases in NLP models as barriers for persons with disabilities B Hutchinson, V Prabhakaran, E Denton, K Webster, Y Zhong, S Denuyl arXiv preprint arXiv:2005.00813, 2020 | 264 | 2020 |
| Author profiling for English emails D Estival, T Gaustad, SB Pham, W Radford, B Hutchinson Proceedings of the 10th Conference of the Pacific Association for …, 2007 | 231 | 2007 |
| Using the web for language independent spellchecking and autocorrection C Whitelaw, B Hutchinson, G Chung, G Ellis Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 208 | 2009 |
| Re-imagining algorithmic fairness in india and beyond N Sambasivan, E Arnesen, B Hutchinson, T Doshi, V Prabhakaran Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 150 | 2021 |
| Automatic definition of entity collections K Golden, B Hutchinson, A Behal, AO Marks, F Zhang, Y Gao, F Wu US Patent 9,454,599, 2016 | 119 | 2016 |
| Perturbation sensitivity analysis to detect unintended model biases V Prabhakaran, B Hutchinson, M Mitchell arXiv preprint arXiv:1910.04210, 2019 | 116 | 2019 |
| Diversity and inclusion metrics in subset selection M Mitchell, D Baker, N Moorosi, E Denton, B Hutchinson, A Hanna, ... Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 117-123, 2020 | 103 | 2020 |
| Palm: Scaling language modeling with pathways. arXiv 2022 A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311 10, 2022 | 79 | 2022 |
| Detecting bias with generative counterfactual face attribute augmentation E Denton, B Hutchinson, M Mitchell, T Gebru, A Zaldivar arXiv preprint arXiv:1906.06439 2 (5), 7, 2019 | 74 | 2019 |
| Tat: an author profiling tool with application to arabic emails D Estival, T Gaustad, SB Pham, W Radford, B Hutchinson Proceedings of the Australasian Language Technology Workshop 2007, 21-30, 2007 | 69 | 2007 |
| Advances and open problems in federated learning. arXiv 2019 P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... arXiv preprint arXiv:1912.04977, 1912 | 66 | 1912 |
| Acquiring the meaning of discourse markers B Hutchinson Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004 | 53 | 2004 |
Margaret MitchellResearch Scientist, Hugging FaceVerified email at huggingface.co
