Follow
Samuel Dooley
Samuel Dooley
Abacus.AI
Verified email at abacus.ai - Homepage
Title
Cited by
Cited by
Year
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
3192018
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
792021
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
242020
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
222021
Robustness disparities in face detection
S Dooley, GZ Wei, T Goldstein, J Dickerson
Advances in Neural Information Processing Systems 35, 38245-38259, 2022
17*2022
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
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
142023
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
132021
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
10*2024
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
102023
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
92018
Data contamination through the lens of time
M Roberts, H Thakur, C Herlihy, C White, S Dooley
arXiv preprint arXiv:2310.10628, 2023
82023
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
82023
Are commercial face detection models as biased as academic models?
S Dooley, GZ Wei, T Goldstein, JP Dickerson
arXiv preprint arXiv:2201.10047, 2022
82022
Robustness disparities in face detection
S Dooley, GZ Wei, T Goldstein, J Dickerson
Advances in Neural Information Processing Systems 35, 38245-38259, 2022
72022
Ctrl-Shift: How privacy sentiment changed from 2019 to 2021
A Goetzen, S Dooley, EM Redmiles
arXiv preprint arXiv:2110.09437, 2021
42021
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
32022
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
32020
Fairer and More Accurate Tabular Models Through NAS
R Das, S Dooley
arXiv preprint arXiv:2310.12145, 2023
22023
ForecastPFN: Universal forecasting for healthcare
GS Khurana, S Dooley, SV Naidu, C White
ICLR 2023 Workshop on Time Series Representation Learning for Health, 2023
22023
The system can't perform the operation now. Try again later.
Articles 1–20