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Adrian Weller
Adrian Weller
Director of Research, Machine Learning, University of Cambridge
Verified email at eng.cam.ac.uk - Homepage
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Cited by
Year
Rethinking Attention with Performers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
ICLR 2021, or arXiv preprint arXiv:2009.14794, 2020
10532020
Explainable machine learning in deployment
U Bhatt, A Xiang, S Sharma, A Weller, A Taly, Y Jia, J Ghosh, R Puri, ...
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
5432020
Accountability of AI under the law: The role of explanation
F Doshi-Velez, M Kortz, R Budish, C Bavitz, S Gershman, D O'Brien, ...
arXiv preprint arXiv:1711.01134, 2017
4632017
Concrete problems for autonomous vehicle safety: Advantages of Bayesian deep learning
R McAllister, Y Gal, A Kendall, M van der Wilk, A Shah, R Cipolla, ...
International Joint Conference on Artificial Intelligence (IJCAI), 2017
345*2017
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
2922020
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices
T Speicher, H Heidari, N Grgic-Hlaca, KP Gummadi, A Singla, A Weller, ...
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
2672018
Leveraging data science to combat COVID-19: A comprehensive review
S Latif, M Usman, S Manzoor, W Iqbal, J Qadir, G Tyson, I Castro, A Razi, ...
IEEE Transactions on Artificial Intelligence, 2020
2412020
From parity to preference-based notions of fairness in classification
MB Zafar, I Valera, M Rodriguez, K Gummadi, A Weller
Advances in Neural Information Processing Systems, 229-239, 2017
2332017
The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making
N Grgic-Hlaca, MB Zafar, KP Gummadi, A Weller
NeurIPS Symposium on ML and the Law, 2016
2182016
Beyond distributive fairness in algorithmic decision making: Feature selection for procedurally fair learning
N Grgić-Hlača, MB Zafar, KP Gummadi, A Weller
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2152018
Human perceptions of fairness in algorithmic decision making: A case study of criminal risk prediction
N Grgic-Hlaca, EM Redmiles, KP Gummadi, A Weller
Proceedings of the 2018 World Wide Web Conference, 903-912, 2018
2122018
Transparency: motivations and challenges
A Weller
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 23-40, 2019
1772019
Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty
U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, ...
AIES 2021, or arXiv preprint arXiv:2011.07586, 2020
1762020
Challenges for Transparency
A Weller
ICML 2017 Workshop on Human Interpretability (extended version available as …, 2017
1542017
Blind Justice: Fairness with Encrypted Sensitive Attributes
N Kilbertus, A Gascón, MJ Kusner, M Veale, KP Gummadi, A Weller
ICML, or arXiv preprint arXiv:1806.03281, 2018
1402018
Evaluating and Aggregating Feature-based Model Explanations
U Bhatt, A Weller, JMF Moura
IJCAI, or arXiv preprint arXiv:2005.00631, 2020
1392020
Structured Evolution with Compact Architectures for Scalable Policy Optimization
K Choromanski, M Rowland, V Sindhwani, RE Turner, A Weller
ICML, or arXiv preprint arXiv:1804.02395, 2018
1352018
One-network adversarial fairness
T Adel, I Valera, Z Ghahramani, A Weller
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2412-2420, 2019
1182019
You shouldn’t trust me: Learning models which conceal unfairness from multiple explanation methods
B Dimanov, U Bhatt, M Jamnik, A Weller
European Conference on Artificial Intelligence, 2020
902020
Getting a CLUE: A Method for Explaining Uncertainty Estimates
J Antorán, U Bhatt, T Adel, A Weller, JM Hernández-Lobato
ICLR 2021, or arXiv preprint arXiv:2006.06848, 2020
882020
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