| A transparent framework for evaluating unintended demographic bias in word embeddings C Sweeney, M Najafian Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 72 | 2019 |
| Reducing sentiment polarity for demographic attributes in word embeddings using adversarial learning C Sweeney, M Najafian Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 44 | 2020 |
| Scalable scene flow from point clouds in the real world P Jund, C Sweeney, N Abdo, Z Chen, J Shlens IEEE Robotics and Automation Letters 7 (2), 1589-1596, 2021 | 40 | 2021 |
| A supervised approach to predicting noise in depth images C Sweeney, G Izatt, R Tedrake 2019 International conference on robotics and automation (ICRA), 796-802, 2019 | 32 | 2019 |
| Slimnets: An exploration of deep model compression and acceleration I Oguntola, S Olubeko, C Sweeney 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-6, 2018 | 11 | 2018 |
| STT: Stateful Tracking with Transformers for Autonomous Driving L Jing, R Yu, X Chen, Z Zhao, S Sheng, C Graber, Q Chen, Q Li, S Wu, ... arXiv preprint arXiv:2405.00236, 2024 | | 2024 |
