| xview: Objects in context in overhead imagery D Lam, R Kuzma, K McGee, S Dooley, M Laielli, M Klaric, Y Bulatov, ... arXiv preprint arXiv:1802.07856, 2018 | 284 | 2018 |
| Fairness through robustness: Investigating robustness disparity in deep learning V Nanda, S Dooley, S Singla, S Feizi, JP Dickerson Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 74 | 2021 |
| Robustness Disparities in Face Detection S Dooley, GZ Wei, T Goldstein, JP Dickerson Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 2022 | 23* | 2022 |
| Proportionnet: Balancing fairness and revenue for auction design with deep learning K Kuo, A Ostuni, E Horishny, MJ Curry, S Dooley, P Chiang, T Goldstein, ... arXiv preprint arXiv:2010.06398, 2020 | 20 | 2020 |
| Preferencenet: Encoding human preferences in auction design with deep learning N Peri, M Curry, S Dooley, J Dickerson Advances in Neural Information Processing Systems 34, 17532-17542, 2021 | 18 | 2021 |
| Field evidence of the effects of privacy, data transparency, and pro-social appeals on COVID-19 app attractiveness S Dooley, D Turjeman, JP Dickerson, EM Redmiles Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 12* | 2022 |
| Comparing human and machine bias in face recognition S Dooley, R Downing, G Wei, N Shankar, B Thymes, G Thorkelsdottir, ... arXiv preprint arXiv:2110.08396, 2021 | 11 | 2021 |
| Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition S Dooley, RS Sukthanker, JP Dickerson, C White, F Hutter, M Goldblum Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 7* | 2023 |
| Overhead detection: Beyond 8-bits and rgb E Mace, K Manville, M Barbu-McInnis, M Laielli, M Klaric, S Dooley arXiv preprint arXiv:1808.02443, 2018 | 7 | 2018 |
| A deep dive into dataset imbalance and bias in face identification V Cherepanova, S Reich, S Dooley, H Souri, J Dickerson, M Goldblum, ... Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 229-247, 2023 | 6 | 2023 |
| Giraffe: Adventures in expanding context lengths in llms A Pal, D Karkhanis, M Roberts, S Dooley, A Sundararajan, S Naidu arXiv preprint arXiv:2308.10882, 2023 | 4 | 2023 |
| The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations M Knittel, S Dooley, JP Dickerson International Joint Conference on Artificial Intelligence, 2022 | 3 | 2022 |
| The affiliate matching problem: On labor markets where firms are also interested in the placement of previous workers S Dooley, JP Dickerson arXiv preprint arXiv:2009.11867, 2020 | 3 | 2020 |
| Ctrl-Shift: How privacy sentiment changed from 2019 to 2021 A Goetzen, S Dooley, EM Redmiles arXiv preprint arXiv:2110.09437, 2021 | 2 | 2021 |
| Can an Algorithm Be My Healthcare Proxy? DC McElfresh, S Dooley, Y Cui, K Griesman, W Wang, T Will, N Sehgal, ... Explainable AI in Healthcare and Medicine: Building a Culture of …, 2021 | 2 | 2021 |
| Basic algebraic topology: The fundamental group of circle S Dooley preprint, University of Chicago, 2011 | 2 | 2011 |
| ForecastPFN: Synthetically-Trained Zero-Shot Forecasting S Dooley, GS Khurana, C Mohapatra, S Naidu, C White Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 1 | 2023 |
| Fairer and More Accurate Tabular Models Through NAS R Das, S Dooley arXiv preprint arXiv:2310.12145, 2023 | 1 | 2023 |
| ForecastPFN: Universal Forecasting for Healthcare GS Khurana, S Dooley, SV Naidu, C White ICLR 2023 Workshop on Time Series Representation Learning for Health, 2023 | 1 | 2023 |
| How Library IT Staff Navigate Privacy and Security Challenges and Responsibilities AF Luo, N Warford, S Dooley, R Greenstadt, ML Mazurek, N McDonald literacy 36 (38), 62, 2023 | 1 | 2023 |
