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Shlomi Hod
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Performative prediction in a stateful world
G Brown, S Hod, I Kalemaj
International Conference on Artificial Intelligence and Statistics, 6045-6061, 2022
572022
Clusterability in Neural Networks
D Filan, S Casper, S Hod, C Wild, A Critch, S Russell
arXiv preprint arXiv:2103.03386, 2021
322021
Pruned neural networks are surprisingly modular
D Filan, S Hod, C Wild, A Critch, S Russell
arXiv e-prints, arXiv: 2003.04881, 2020
182020
Quantifying local specialization in deep neural networks
S Hod, D Filan, S Casper, A Critch, S Russell
arXiv preprint arXiv:2110.08058, 2021
92021
Data science meets law
S Hod, K Chagal-Feferkorn, N Elkin-Koren, A Gal
Communications of the ACM 65 (2), 35-39, 2022
82022
Graphical clusterability and local specialization in deep neural networks
S Casper, S Hod, D Filan, C Wild, A Critch, S Russell
ICLR 2022 Workshop on PAIR {\textasciicircum} 2Struct: Privacy …, 2022
82022
Detecting modularity in deep neural networks
S Hod, S Casper, D Filan, C Wild, A Critch, S Russell
82021
Responsibly: Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems
S Hod
62018
Designing the Pilot Release of Israel's National Registry of Live Births: Reconciling Privacy with Accuracy and Usability
S Hod
2023
Increasing fairness in targeted advertising
N Birner, S Hod, MC Kettemann, A Pirang, F Stock, E Eren, L Hondrich, ...
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Articles 1–10