Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
- Q. Vera Liao
- Yunfeng Zhang
- et al.
- 2022
- HCOMP 2022
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77 results for Amit Dhurandhar
AI Explainability 360: Impact and Design
- 2022
- IAAI 2022
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2021
- AISTATS 2021
AI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
Uncovering group level insights with accordant clustering
- Amit Dhurandhar
- Margareta Ackerman
- et al.
- 2017
- SDM 2017
Causal Markov Blanket Representation Learning for Domain Generalization Prediction
- Naiyu Yin
- Hanjing Wang
- et al.
- 2024
- ECCV 2024
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
- Jiajin Zhang
- Hanqing Chao
- et al.
- 2023
- MICCAI 2023
Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness
- Brianna Richardson
- Prasanna Sattigeri
- et al.
- 2023
- FAccT 2023
Explainable Cross-Topic Stance Detection for Search Results
- Tim Draws
- Karthikeyan Natesan Ramamurthy
- et al.
- 2023
- CHIIR 2023
Let the CAT out of the bag: Contrastive Attributed explanations for Text
- Saneem A. Chemmengath
- Amar Prakash Azad
- et al.
- 2022
- EMNLP 2022