| 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 | 954 | 2020 |
| CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models S Sharma, J Henderson, J Ghosh Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 166-172, 2020 | 370* | 2020 |
| Data Augmentation for Discrimination Prevention and Bias Disambiguation S Sharma, Y Zhang, JM Ríos Aliaga, D Bouneffouf, V Muthusamy, ... Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 358-364, 2020 | 172 | 2020 |
| FaiR-N: Fair and Robust Neural Networks for Structured Data S Sharma, AH Gee, D Paydarfar, J Ghosh Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 946-955, 2021 | 27 | 2021 |
| Interpretable Table Question Answering via Plans of Atomic Table Transformations G Nguyen, I Brugere, S Sharma, S Kariyappa, AT Nguyen, F Lecue | 20* | 2024 |
| Certifai: a toolkit for building trust in AI systems J Henderson, S Sharma, A Gee, V Alexiev, S Draper, C Marin, Y Hinojosa, ... Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 11 | 2021 |
| Rashomongb: Analyzing the rashomon effect and mitigating predictive multiplicity in gradient boosting H Hsu, I Brugere, S Sharma, F Lecue, R Chen Advances in Neural Information Processing Systems 37, 121265-121303, 2024 | 9 | 2024 |
| FEAMOE: Fair, Explainable and Adaptive Mixture of Experts S Sharma, J Henderson, J Ghosh arXiv preprint arXiv:2210.04995, 2022 | 9 | 2022 |
| Privacy-Preserving Algorithmic Recourse S Pentyala, S Sharma, S Kariyappa, F Lecue, D Magazzeni arXiv preprint arXiv:2311.14137, 2023 | 8 | 2023 |
| On the connection between game-theoretic feature attributions and counterfactual explanations E Albini, S Sharma, S Mishra, D Dervovic, D Magazzeni Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 411-431, 2023 | 8 | 2023 |
| Framework for explainability with recourse of black-box trained classifiers and assessment of fairness and robustness of black-box trained classifiers J Ghosh, S Sharma, J Henderson, M Sanchez US Patent 11,645,620, 2023 | 8 | 2023 |
| Fair wasserstein coresets Z Xiong, N Dalmasso, S Sharma, F Lecue, D Magazzeni, V Potluru, ... Advances in Neural Information Processing Systems 37, 132-168, 2024 | 6 | 2024 |
| Faster-ce: fast, sparse, transparent, and robust counterfactual explanations S Sharma, A Gee, J Henderson, J Ghosh IFIP International Conference on Artificial Intelligence Applications and …, 2024 | 6 | 2024 |
| Real-time distributed multi-object tracking in a PTZ camera network A Choudhary, S Sharma, I Sreedevi, S Chaudhury Pattern Recognition and Machine Intelligence: 6th International Conference …, 2015 | 5 | 2015 |
| REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values S Sharma, S Dutta, E Albini, F Lecue, D Magazzeni, M Veloso Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 443-453, 2023 | 4 | 2023 |
| Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs N Bui, S Sharma, S Lamba, S Mishra, R Ying arXiv preprint arXiv:2512.03324, 2025 | 2 | 2025 |
| PICE: Polyhedral Complex Informed Counterfactual Explanations MJ Villani, E Albini, S Sharma, S Mishra, SI Amoukou, D Magazzeni, ... Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 1502-1513, 2024 | 2 | 2024 |
| The Effect of Data Poisoning on Counterfactual Explanations A Artelt, S Sharma, F Lecué, B Hammer arXiv preprint arXiv:2402.08290, 2024 | 2 | 2024 |
| SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies H Wu, S Sharma, S Patra, S Gopalakrishnan Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15915 …, 2024 | 1 | 2024 |
| System and method for generating competing models in rashomon sets for gradient boosting HSU Hsiang, S Sharma, I BRUGERE, F LECUE, R Chen US Patent App. 18/658,656, 2025 | | 2025 |
