Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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31 results for Moninder Singh

AI Explainability 360: Impact and Design
- - Vijay Arya
  - Rachel Bellamy
  - et al.
- 2022
- IAAI 2022
Anomaly Attribution with Likelihood Compensation
- - Tsuyoshi Ide
  - Amit Dhurandhar
  - et al.
- 2021
- AAAI 2021
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- - Dennis Wei
  - Rahul Nair
  - et al.
- 2022
- NeurIPS 2022
Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations
- - Hammaad Adam
  - Ming Ying Yang
  - et al.
- 2022
- AIES 2022
Teaching AI agents ethical values using reinforcement learning and policy orchestration (extended abstract)
- - Ritesh Noothigattu
  - Djallel Bouneffouf
  - et al.
- 2019
- IJCAI 2019
Assessing national development plans for alignment with sustainable development goals via semantic search
- - Jonathan Galsurkar
  - Moninder Singh
  - et al.
- 2018
- IAAI 2018
Assessing national development plans for alignment with sustainable development goals via semantic search
- - Jonathan Galsurkar
  - Moninder Singh
  - et al.
- 2018
- AAAI 2018
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- - Vijay Arya
  - Rachel K. Bellamy
  - et al.
- 2021
- INFORMS 2021
Empirical and Theoretical Relationships Among Pillars of Trustworthy Machine Learning
- - Kush R. Varshney
  - Moninder Singh
- 2020
- INFORMS 2020
Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets
- - Kofi Arhin
  - Ioana Baldini Soares
  - et al.
- 2021
- NeurIPS 2021