Local Explanations for Reinforcement Learning
- Ronny Luss
- Amit Dhurandhar
- et al.
- 2023
- AAAI 2023
Publications
82 results for Amit Dhurandhar
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
- Jiajin Zhang
- Hanqing Chao
- et al.
- 2023
- AAAI 2023
Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue
- Travis Greene
- Amit Dhurandhar
- et al.
- 2023
- Patterns
Let the CAT out of the bag: Contrastive Attributed explanations for Text
- Saneem A. Chemmengath
- Amar Prakash Azad
- et al.
- 2022
- EMNLP 2022
Multihop: Leveraging Complex Models to Learn Accurate Simple Models
- Amit Dhurandhar
- Tejaswini Pedapati
- 2022
- ICKG 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022
Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations
- Amit Dhurandhar
- Karthikeyan Natesan Ramamurthy
- et al.
- 2022
- NeurIPS 2022
PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization
- Shreyas Fadnavis
- Amit Dhurandhar
- et al.
- 2022
- ML4H 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
- Q. Vera Liao
- Yunfeng Zhang
- et al.
- 2022
- HCOMP 2022
AI Explainability 360: Impact and Design
- 2022
- IAAI 2022