| A survey on bias and fairness in machine learning N Mehrabi, F Morstatter, N Saxena, K Lerman, A Galstyan ACM Computing Surveys (CSUR) 54 (6), 1-35, 2021 | 2387 | 2021 |
| Man is to person as woman is to location: Measuring gender bias in named entity recognition N Mehrabi, T Gowda, F Morstatter, N Peng, A Galstyan Proceedings of the 31st ACM conference on Hypertext and Social Media, 231-232, 2020 | 51 | 2020 |
| Exacerbating Algorithmic Bias through Fairness Attacks N Mehrabi, M Naveed, F Morstatter, A Galstyan Proceedings of the AAAI Conference on Artificial Intelligence, 2021 | 39 | 2021 |
| Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources N Mehrabi, P Zhou, F Morstatter, J Pujara, X Ren, A Galstyan Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 29 | 2021 |
| Dynamicgem: A library for dynamic graph embedding methods P Goyal, SR Chhetri, N Mehrabi, E Ferrara, A Canedo arXiv preprint arXiv:1811.10734, 2018 | 24 | 2018 |
| Debiasing community detection: the importance of lowly connected nodes N Mehrabi, F Morstatter, N Peng, A Galstyan Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 18 | 2019 |
| Attributing fair decisions with attention interventions N Mehrabi, U Gupta, F Morstatter, GV Steeg, A Galstyan Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing …, 2021 | 10 | 2021 |
| Statistical Equity: A Fairness Classification Objective N Mehrabi, Y Huang, F Morstatter arXiv preprint arXiv:2005.07293, 2020 | 6 | 2020 |
| Robust Conversational Agents against Imperceptible Toxicity Triggers N Mehrabi, A Beirami, F Morstatter, A Galstyan Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 5 | 2022 |
| Towards multi-objective statistically fair federated learning N Mehrabi, C de Lichy, J McKay, C He, W Campbell arXiv preprint arXiv:2201.09917, 2022 | 2 | 2022 |
| The Leaky Pipeline in Physics Publishing CO Ross, A Gupta, N Mehrabi, G Muric, K Lerman arXiv preprint arXiv:2010.08912, 2020 | 2 | 2020 |
| Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models N Mehrabi, P Goyal, A Verma, J Dhamala, V Kumar, Q Hu, KW Chang, ... arXiv preprint arXiv:2211.12503, 2022 | 1 | 2022 |
| Where Does Bias in Common Sense Knowledge Models Come From? S Melotte, F Ilievski, L Zhang, A Malte, N Mutha, F Morstatter, N Mehrabi IEEE Internet Computing 26 (4), 12-20, 2022 | | 2022 |
| Proceedings of the First Workshop on Federated Learning for Natural Language Processing (FL4NLP 2022) BY Lin, C He, C Xie, F Mireshghallah, N Mehrabi, T Li, M Soltanolkotabi, ... Proceedings of the First Workshop on Federated Learning for Natural Language …, 2022 | | 2022 |
| Workshop on Federated Learning for Natural Language Processing (FL4NLP 2022) BY Lin, C He, T Li, N Mehrabi, F Mireshghallah, C Xie, M Soltanolkotabi, ... | | |
Fred MorstatterUniversity of Southern California, Information Sciences InstituteVahvistettu sähköpostiosoite verkkotunnuksessa usc.edu
