Samuel Dooley
Samuel Dooley
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Cited by
Cited by
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
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
Robustness Disparities in Face Detection
S Dooley, GZ Wei, T Goldstein, JP Dickerson
Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 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
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
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
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
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
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
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
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
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
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
Ctrl-Shift: How privacy sentiment changed from 2019 to 2021
A Goetzen, S Dooley, EM Redmiles
arXiv preprint arXiv:2110.09437, 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
Basic algebraic topology: The fundamental group of circle
S Dooley
preprint, University of Chicago, 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
Fairer and More Accurate Tabular Models Through NAS
R Das, S Dooley
arXiv preprint arXiv:2310.12145, 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
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
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