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 | 708 | 2020 |
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, ... AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2021 | 251 | 2021 |
Evaluating and Aggregating Feature-based Model Explanations U Bhatt, A Weller, JMF Moura International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 202 | 2020 |
Getting a CLUE: A Method for Explaining Uncertainty Estimates J Antorán, U Bhatt, T Adel, A Weller, JM Hernández-Lobato International Conference on Learning Representations (ICLR), 2021 | 119 | 2021 |
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 (ECAI), 2020 | 115 | 2020 |
On the fairness of causal algorithmic recourse J von Kügelgen, AH Karimi, U Bhatt, I Valera, A Weller, B Schölkopf Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9584-9594, 2022 | 85 | 2022 |
How transparency modulates trust in artificial intelligence J Zerilli, U Bhatt, A Weller Patterns 3 (4), 2022 | 83 | 2022 |
Do Concept Bottleneck Models Learn as Intended? A Margeloiu, M Ashman, U Bhatt, Y Chen, M Jamnik, A Weller ICLR 2021 Workshop on Responsible AI, 2021 | 78 | 2021 |
Machine Learning Explainability for External Stakeholders U Bhatt, MK Andrus, A Weller, A Xiang ICML 2020 Workshop on Human Interpretability, 2020 | 75 | 2020 |
Intelligent Pothole Detection and Road Condition Assessment U Bhatt, S Mani, E Xi, JZ Kolter Data for Good Exchange (D4GX), 2017 | 72 | 2017 |
Uncertainty quantification with pre-trained language models: A large-scale empirical analysis Y Xiao, PP Liang, U Bhatt, W Neiswanger, R Salakhutdinov, LP Morency Findings of the Association for Computational Linguistics: EMNLP, 7273-7284, 2022 | 61 | 2022 |
Harms from increasingly agentic algorithmic systems A Chan, R Salganik, A Markelius, C Pang, N Rajkumar, D Krasheninnikov, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 49 | 2023 |
Eliciting and learning with soft labels from every annotator KM Collins, U Bhatt, A Weller Proceedings of the AAAI conference on human computation and crowdsourcing 10 …, 2022 | 46 | 2022 |
On the Utility of Prediction Sets in Human-AI Teams V Babbar, U Bhatt, A Weller International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 34 | 2022 |
Human uncertainty in concept-based ai systems KM Collins, M Barker, M Espinosa Zarlenga, N Raman, U Bhatt, M Jamnik, ... Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 869-889, 2023 | 28 | 2023 |
Evaluating language models for mathematics through interactions KM Collins, AQ Jiang, S Frieder, L Wong, M Zilka, U Bhatt, T Lukasiewicz, ... Proceedings of the National Academy of Sciences 121 (24), e2318124121, 2024 | 27 | 2024 |
Towards robust metrics for concept representation evaluation ME Zarlenga, P Barbiero, Z Shams, D Kazhdan, U Bhatt, A Weller, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11791 …, 2023 | 25* | 2023 |
Building Human-Machine Trust via Interpretability U Bhatt, P Ravikumar, J Moura Proceedings of the AAAI Conference on Artificial Intelligence 33, 9919-9920, 2019 | 22 | 2019 |
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates D Ley, U Bhatt, A Weller Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7390-7398, 2022 | 21 | 2022 |
FIMAP: Feature Importance by Minimal Adversarial Perturbation M Chapman-Rounds, U Bhatt, E Pazos, MA Schulz, K Georgatzis Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11433 …, 2021 | 18 | 2021 |