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Hussein Mozannar
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Year
Consistent estimators for learning to defer to an expert
H Mozannar, D Sontag
International Conference on Machine Learning, 7076-7087, 2020
1852020
Neural Arabic Question Answering
H Mozannar, KE Hajal, E Maamary, H Hajj
Proceedings of the Fourth Arabic Natural Language Processing Workshop, 108–118, 2019
1372019
Damage Identification in Social Media Posts using Multimodal Deep Learning
H Mouzannar, Y Rizk, M Awad
ISCRAM 2018 – 15th International Conference on Information Systems for …, 2018
1312018
From fair decision making to social equality
H Mouzannar, MI Ohannessian, N Srebro
Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019
1082019
Fair learning with private demographic data
H Mozannar, M Ohannessian, N Srebro
International Conference on Machine Learning, 7066-7075, 2020
762020
Reading between the lines: Modeling user behavior and costs in AI-assisted programming
H Mozannar, G Bansal, A Fourney, E Horvitz
CHI 2024, 2022
622022
Teaching humans when to defer to a classifier via exemplars
H Mozannar, A Satyanarayan, D Sontag
Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5323-5331, 2022
372022
Sample efficient learning of predictors that complement humans
MA Charusaie, H Mozannar, D Sontag, S Samadi
International Conference on Machine Learning, 2972-3005, 2022
232022
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
H Mozannar, H Lang, D Wei, P Sattigeri, S Das, D Sontag
International Conference on Artificial Intelligence and Statistics, 10520-10545, 2023
222023
When to show a suggestion? Integrating human feedback in AI-assisted programming
H Mozannar, G Bansal, A Fourney, E Horvitz
Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10137 …, 2024
10*2024
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
H Mozannar, J Lee, D Wei, P Sattigeri, S Das, D Sontag
Advances in Neural Information Processing Systems 36, 2024
42024
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
Y Cao, H Mozannar, L Feng, H Wei, B An
Advances in Neural Information Processing Systems 36, 2024
32024
Machine Teaching with Generative Models for Human Learning
M Doron, H Mozannar, D Sontag, JC Caicedo
12021
The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers
H Mozannar, V Chen, M Alsobay, S Das, S Zhao, D Wei, M Nagireddy, ...
arXiv preprint arXiv:2404.02806, 2024
2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ...
arXiv preprint arXiv:2403.01628, 2024
2024
Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study
N Mannhardt, E Bondi-Kelly, B Lam, C O'Connell, M Asiedu, H Mozannar, ...
arXiv preprint arXiv:2401.09637, 2024
2024
Simulating Iterative Human-AI Interaction in Programming with LLMs
H Mozannar, V Chen, D Wei, P Sattigeri, M Nagireddy, S Das, A Talwalkar, ...
NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023
2023
Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration
H Mozannar, Y Utsumi, IY Chen, SS Gervasi, M Ewing, A Smith-McLallen, ...
arXiv preprint arXiv:2305.17261, 2023
2023
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