Interpretable Differencing of Machine Learning Models
- Swagatam Haldar
- Diptikalyan Saha
- et al.
- 2023
- UAI 2023
Conference paper
Publications
194 results for Explainable AI
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
- Timothy Castiglia
- Yi Zhou
- et al.
- 2023
- ICML 2023
Conference paperLearning Prescriptive ReLU Networks
- Wei Sun
- Asterios Tsiourvas
- 2023
- ICML 2023
Conference paperSimple Disentanglement of Style and Content in Visual Representations
- Lilian Ngweta
- Subha Maity
- et al.
- 2023
- ICML 2023
Conference paperRectification Learning From Hypotheses Refutation and Relevance Classification
- Victor Kravets
- Jie-hong R. Jiang
- et al.
- 2023
- DAC 2023
PosterDARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
- Adam Ivankay
- Mattia Rigotti
- et al.
- 2023
- ACL 2023
Conference paperAre Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
- Bingsheng Yao
- Prithviraj Sen
- et al.
- 2023
- ACL 2023
Conference paperLearning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
- Subhajit Chaudhury
- Sarathkrishna Swaminathan
- et al.
- 2023
- ACL 2023
Conference paperMISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
- Keerthiram Murugesan
- Sarathkrishna Swaminathan
- et al.
- 2023
- ACL 2023
PaperFinspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models
- Bc Kwon
- Nandana Mihindukulasooriya
- 2023
- ACL 2023
Demo paper