Cost-Aware Counterfactuals for Black Box Explanations
- Natalia Martinez Gil
- Kanthi Sarpatwar
- et al.
- 2023
- NeurIPS 2023
Publications
Date
Featured collections
Popular topics
143 results for Explainable AI
Explaining knock-on effects of bias mitigation
- 2023
- NeurIPS 2023
Position Paper on Dataset Engineering to Accelerate Science
- 2023
- AAAI 2023
Leveraging Simple Model Predictions for Enhancing its Performance
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
CUI@CHI 2024: Building Trust in CUIs-From Design to Deployment
- Smit Desai
- Christina Wei
- et al.
- 2024
- CHI 2024
Bridging the Gap Between AI Planning and Reinforcement Learning
- Zlatan Ajanovi{\'c}
- Timo Gros
- et al.
- 2025
- AAAI 2025
Deep Learning on Graphs: Methods and Applications (DLG-AAAI’23)
- Lingfei Wu
- Jian Pei
- et al.
- 2023
- AAAI 2023
A neuro-vector-symbolic architecture for solving Raven’s progressive matrices
- Michael Hersche
- Mustafa Zeqiri
- et al.
- 2023
- Nature Machine Intelligence
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease
- 2022
- PLoS ONE
AI Explainability in Clinical Context
- Daniel M. Gruen
- Shruthi Chari
- et al.
- 2021
- AAAI 2021