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Adrian Weller
Adrian Weller
Director of Research, Machine Learning, University of Cambridge
Verified email at eng.cam.ac.uk - Homepage
Title
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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
19332020
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
7972020
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
5762017
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
L Yu, W Jiang, H Shi, J Yu, Z Liu, Y Zhang, JT Kwok, Z Li, A Weller, W Liu
ICLR 2024, or arXiv preprint arXiv:2309.12284, 2023
5562023
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
4562020
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
431*2017
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
3532018
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
3082020
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
3072020
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
2962016
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
2892017
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
2772018
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
2622018
Evaluating and Aggregating Feature-based Model Explanations
U Bhatt, A Weller, JMF Moura
IJCAI, or arXiv preprint arXiv:2005.00631, 2020
2572020
Synthetic Data--what, why and how?
J Jordon, L Szpruch, F Houssiau, M Bottarelli, G Cherubin, C Maple, ...
arXiv preprint arXiv:2205.03257, 2022
2502022
Transparency: motivations and challenges
A Weller
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 23-40, 2019
2442019
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
1882018
Challenges for Transparency
A Weller
ICML 2017 Workshop on Human Interpretability (extended version available as …, 2017
1762017
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
M Espinosa Zarlenga, P Barbiero, G Ciravegna, G Marra, F Giannini, ...
Advances in Neural Information Processing Systems 35, 21400-21413, 2022
1612022
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
1602018
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Articles 1–20