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 | 325 | 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 | 85 | 2021 |
Robustness disparities in face detection S Dooley, GZ Wei, T Goldstein, J Dickerson Advances in Neural Information Processing Systems 35, 38245-38259, 2022 | 25* | 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 | 25 | 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 | 24 | 2021 |
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 | 18 | 2023 |
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 | 16* | 2023 |
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 | 15* | 2022 |
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination M Roberts, H Thakur, C Herlihy, C White, S Dooley The Twelfth International Conference on Learning Representations, 2023 | 13* | 2023 |
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 | 13 | 2021 |
Rethinking bias mitigation: Fairer architectures make for fairer face recognition S Dooley, R Sukthanker, J Dickerson, C White, F Hutter, M Goldblum Advances in Neural Information Processing Systems 36, 2024 | 12* | 2024 |
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 | 9 | 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 | 9 | 2018 |
Are commercial face detection models as biased as academic models? S Dooley, GZ Wei, T Goldstein, JP Dickerson arXiv preprint arXiv:2201.10047, 2022 | 8 | 2022 |
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive A Pal, D Karkhanis, S Dooley, M Roberts, S Naidu, C White arXiv preprint arXiv:2402.13228, 2024 | 6 | 2024 |
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 | 4 | 2022 |
Ctrl-Shift: How privacy sentiment changed from 2019 to 2021 A Goetzen, S Dooley, EM Redmiles arXiv preprint arXiv:2110.09437, 2021 | 4 | 2021 |
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 | 4 | 2020 |
Fairer and More Accurate Tabular Models Through NAS R Das, S Dooley arXiv preprint arXiv:2310.12145, 2023 | 2 | 2023 |
{ How} Library {IT} Staff Navigate Privacy and Security Challenges and Responsibilities AF Luo, N Warford, S Dooley, R Greenstadt, ML Mazurek, N McDonald 32nd USENIX Security Symposium (USENIX Security 23), 5647-5664, 2023 | 2 | 2023 |