Publications

194 results for Explainable AI

One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- - Vijay Arya
  - Rachel K. Bellamy
  - et al.
- 2021
- INFORMS 2021
Talk
Addressing the Design Needs of Implementing Fairness in AI via Influence Functions
- - Brianna Richardson
  - Kush R. Varshney
- 2021
- INFORMS 2021
Talk
Robust Feature Based Model Agnostic Explainability For Time Series Forecasting
- - Vikas Raykar
  - Sumanta Mukherjee
  - et al.
- 2021
- INFORMS 2021
Talk
Leveraging Latent Features for Local Explanations
- - Ronny Luss
  - Pin-Yu Chen
  - et al.
- 2021
- KDD 2021
Conference paper
Applied Data Science for Healthcare
- - Fei Wang
  - Prithwish Chakraborty
  - et al.
- 2021
- KDD 2021
Workshop
Explainability for Natural Language Processing
- - Marina Danilevsky
  - Shipi Dhanorkar
  - et al.
- 2021
- KDD 2021
Tutorial
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
- - Yi Fung
  - Chris Thomas
  - et al.
- 2021
- ACL-IJCNLP 2021
Conference paper
Reimagining GNN Explanations with ideas from Tabular Data
- - Anjali Singh
  - Shamanth R Nayak K
  - et al.
- 2021
- ICML 2021
Workshop paper
SubsetGAN: Pattern detection in the activation space for Identifying Synthesised Content
- - Celia Cintas
  - Skyler Speakman
  - et al.
- 2021
- ICML 2021
Workshop poster
Introduction to Explainable AI
- - Q. Vera Liao
  - Moninder Singh
  - et al.
- 2021
- CHI EA 2021
Conference paper