Reimagining GNN Explanations with ideas from Tabular Data
- Anjali Singh
- Shamanth R Nayak K
- et al.
- 2021
- ICML 2021
Publications
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137 results for Explainable AI
Explainable Link Prediction for Privacy-Preserving Contact Tracing
- Balaji Ganesan
- Hima Patel
- et al.
- 2020
- NeurIPS 2020
Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- Michael Hind
- Dennis Wei
- et al.
- 2020
- ICML 2020
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
- Dennis Wei
- Inkit Padhi
- et al.
- 2024
- NeurIPS 2024
On the role of noise in factorizers for disentangling distributed representations
- 2024
- NeurIPS 2024
Data Contamination Report from the 2024 CONDA Shared Task
- Oscar Sainz
- Iker García-ferrero
- et al.
- 2024
- ACL 2024
Empowering Sustainable Finance: Leveraging Large Language Models for Climate-Aware Investments
- 2024
- ICLR 2024
Plan-SOFAI: A Neuro-Symbolic Planning Architecture
- Francesco Fabiano
- Vishal Pallagani
- et al.
- 2024
- AAAI 2024
Cost-Aware Counterfactuals for Black Box Explanations
- Natalia Martinez Gil
- Kanthi Sarpatwar
- et al.
- 2023
- NeurIPS 2023
Explaining knock-on effects of bias mitigation
- Svetoslav Nizhnichenkov
- Rahul Nair
- et al.
- 2023
- NeurIPS 2023