Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogueTravis GreeneAmit Dhurandharet al.2023Patterns
Let the CAT out of the bag: Contrastive Attributed explanations for TextSaneem A. ChemmengathAmar Prakash Azadet al.2022EMNLP 2022
Multihop: Leveraging Complex Models to Learn Accurate Simple ModelsAmit DhurandharTejaswini Pedapati2022ICKG 2022
Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic ExplanationsAmit DhurandharKarthikeyan Natesan Ramamurthyet al.2022NeurIPS 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation ApproachDennis WeiRahul Nairet al.2022NeurIPS 2022
PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-SummarizationShreyas FadnavisAmit Dhurandharet al.2022ML4H 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AIQ. Vera LiaoYunfeng Zhanget al.2022HCOMP 2022
Human-centered explainability for life sciences, healthcare, and medical informaticsSanjoy DeyPrithwish Chakrabortyet al.2022Patterns
Auto-Transfer: Learning to Route Transferable RepresentationsKeerthiram MurugesanVijay Sadashivaiahet al.2022ICLR 2022