Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- 2023
- NeurIPS 2023
Conference paper
Publications
194 results for Explainable AI
Cost-Aware Counterfactuals for Black Box Explanations
- Natalia Martinez Gil
- Kanthi Sarpatwar
- et al.
- 2023
- NeurIPS 2023
Workshop paperProbabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
- Michael Hersche
- Francesco Di Stefano
- et al.
- 2023
- NeurIPS 2023
Workshop paperExplaining knock-on effects of bias mitigation
- Svetoslav Nizhnichenkov
- Rahul Nair
- et al.
- 2023
- NeurIPS 2023
Workshop paperPROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction
- Yuqing Wang
- Prashanth Vijayaraghavan
- et al.
- 2023
- EMNLP 2023
Conference paperUnveiling Safety Vulnerabilities of Large Language Models
- 2023
- EMNLP 2023
Workshop paperDecentralized Collaborative Learning Framework with External Privacy Leakage Analysis
- Ide-San Ide
- Dzung Phan
- et al.
- 2023
- BCK 2023
Conference paperScalable Optimal Multiway-Split Decision Trees
- Shivaram Subramanian
- Wei Sun
- 2023
- INFORMS 2023
Invited talkCounterfactual-driven Prescriptive Tree
- Wei Sun
- Shivaram Subramanian
- et al.
- 2023
- INFORMS 2023
Invited talkCarbon-aware Data Center Management: Towards Sustainable And Efficient Operations
- Kumar Saurav
- Ayush Jain
- 2023
- INFORMS 2023
Talk