Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations
- Amit Dhurandhar
- Karthikeyan Natesan Ramamurthy
- et al.
- 2022
- NeurIPS 2022
Publications
87 results for Amit Dhurandhar
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- 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
- Vijay Arya
- Rachel K. E. Bellamy
- et al.
- 2022
- IAAI 2022
Human-centered explainability for life sciences, healthcare, and medical informatics
- Sanjoy Dey
- Prithwish Chakraborty
- et al.
- 2022
- Patterns
Auto-Transfer: Learning to Route Transferable Representations
- Keerthiram Murugesan
- Vijay Sadashivaiah
- et al.
- 2022
- ICLR 2022
Expansive Linguistic Representations to Predict Interpretable Odor Mixture Discriminability
- Amit Dhurandhar
- Guillermo Cecchi
- et al.
- 2022
- bioRxiv
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2022
- PACM HCI
Accurate multi-endpoint molecular toxicity predictions in humans with contrastive explanations
- Bhanushee Sharma
- Vijil Chenthamarakshan
- et al.
- 2022
- ACS Spring 2022