Publications

156 results for Explainable AI

Addressing the Design Needs of Implementing Fairness in AI via Influence Functions
- - Brianna Richardson
  - Kush R. Varshney
- 2021
- INFORMS 2021
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- - Vijay Arya
  - Rachel K. Bellamy
  - et al.
- 2021
- INFORMS 2021
Privacy preserving explanations for hierarchical time series forecasts
- - Surya Shravan Kumar Sajja
  - Sumanta Mukherjee
  - et al.
- 2021
- INFORMS 2021
Explainability For Efficient And Trusted Decision Optimization
- - Kanthi Sarpatwar
  - Surya Shravan Kumar Sajja
  - et al.
- 2021
- INFORMS 2021
Robust Feature Based Model Agnostic Explainability For Time Series Forecasting
- - Vikas Raykar
  - Sumanta Mukherjee
  - et al.
- 2021
- INFORMS 2021
Leveraging Latent Features for Local Explanations
- - Ronny Luss
  - Pin-Yu Chen
  - et al.
- 2021
- KDD 2021
Applied Data Science for Healthcare
- - Fei Wang
  - Prithwish Chakraborty
  - et al.
- 2021
- KDD 2021
Explainability for Natural Language Processing
- - Marina Danilevsky
  - Shipi Dhanorkar
  - et al.
- 2021
- KDD 2021
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
- - Yi Fung
  - Chris Thomas
  - et al.
- 2021
- ACL-IJCNLP 2021
Reimagining GNN Explanations with ideas from Tabular Data
- - Anjali Singh
  - Shamanth R Nayak K
  - et al.
- 2021
- ICML 2021