Uncertainty Quantification via Stable Distribution Propagation
- Felix Petersen
- Aashwin Mishra
- et al.
- 2024
- ICLR 2024
Publications
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137 results for Explainable AI
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
- Turgay Caglar
- Sirine Belhaj
- et al.
- 2024
- AAAI 2024
Area Sampling for Training Geospatial Foundation Models
- 2023
- AGU Fall 2023
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- 2023
- NeurIPS 2023
Simple Disentanglement of Style and Content in Visual Representations
- Lilian Ngweta
- Subha Maity
- et al.
- 2023
- ICML 2023
Learning Prescriptive ReLU Networks
- Wei Sun
- Asterios Tsiourvas
- 2023
- ICML 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
- Timothy Castiglia
- Yi Zhou
- et al.
- 2023
- ICML 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
- Subhajit Chaudhury
- Sarathkrishna Swaminathan
- et al.
- 2023
- ACL 2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
- Adam Ivankay
- Mattia Rigotti
- et al.
- 2023
- ACL 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
- Bingsheng Yao
- Prithviraj Sen
- et al.
- 2023
- ACL 2023