Leveraging Latent Features for Local Explanations
- Ronny Luss
- Pin-Yu Chen
- et al.
- 2021
- KDD 2021
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. 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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Treatment Effect Estimation Using Invariant Risk Minimization
- Abhin Shah
- Kartik Ahuja
- et al.
- 2021
- ICASSP 2021
Classifier invariant approach to learn from positive-unlabeled data
- Amit Dhurandhar
- Karthik S. Gurumoorthy
- 2020
- ICDM 2020
Tutorial on Human-Centered Explainability for Healthcare
- Prithwish Chakraborty
- Bum Chul Kwon
- et al.
- 2020
- KDD 2020
Efficient data representation by selecting prototypes with importance weights
- Karthik S. Gurumoorthy
- Amit Dhurandhar
- et al.
- 2019
- ICDM 2019
TED: Teaching AI to explain its decisions
- Michael Hind
- Dennis Wei
- et al.
- 2019
- AIES 2019
Informative prediction based on ordinal questionnaire data
- 2015
- ICDM 2015
Big data system for analyzing risky procurement entities
- Amit Dhurandhar
- Bruce Graves
- et al.
- 2015
- KDD 2015
Robust system for identifying procurement fraud
- Amit Dhurandhar
- Rajesh Ravi
- et al.
- 2015
- AAAI/IAAI 2015
Intelligently querying incomplete instances for improving classification performance
- Karthik Sankaranarayanan
- Amit Dhurandhar
- 2013
- CIKM 2013