NeurIPS 2023 Workshop XAIA Submissions

Influence Based Approaches to Algorithmic Fairness: A Closer Look
Soumya Ghosh, Prasanna Sattigeri, Inkit Padhi, Manish Nagireddy, Jie Chen
- Published: 27 Oct 2023, Last Modified: 22 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain
Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint-Drenan, Philippe BLANC
- Published: 27 Oct 2023, Last Modified: 09 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Towards the next generation explainable AI that promotes AI-human mutual understanding
Janet Hsiao, Antoni Chan
- Published: 27 Oct 2023, Last Modified: 23 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations
Kenza Amara, Mennatallah El-Assady, Rex Ying
- Published: 27 Oct 2023, Last Modified: 12 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Utilizing Explainability Techniques for Reinforcement Learning Model Assurance
Alexander Tapley
- Published: 27 Oct 2023, Last Modified: 27 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models
Roland Zimmermann, Thomas Klein, Wieland Brendel
- Published: 27 Oct 2023, Last Modified: 21 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Zachariah Carmichael, Walter Scheirer
- Published: 27 Oct 2023, Last Modified: 17 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment
Yong-Hyun Park, Junghoon Seo, Bomseok Park, Seongsu Lee, Junghyo Jo
- Published: 27 Oct 2023, Last Modified: 23 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone