Shubham Sharma

Affiliations:
  • University of Texas at Austin, TX, USA


According to our database1, Shubham Sharma authored at least 8 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021
FaiR-N: Fair and Robust Neural Networks for Structured Data.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Explainable machine learning in deployment.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Data Augmentation for Discrimination Prevention and Bias Disambiguation.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models.
CoRR, 2019


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