NeurIPS 2023 Workshop XAIA Submissions

Interactive Model Correction with Natural Language
Yoonho Lee, Michelle Lam, Helena Vasconcelos, Michael Bernstein, Chelsea Finn
- Published: 27 Oct 2023, Last Modified: 25 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
On the Relationship Between Explanation and Prediction: A Causal View
Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim
- Published: 27 Oct 2023, Last Modified: 09 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Policy graphs in action: explaining single- and multi-agent behaviour using predicates
Adrián Tormos, Victor Abalos, Dmitry Gnatyshak, Sergio Alvarez-Napagao
- Published: 27 Oct 2023, Last Modified: 23 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Robust Recourse for Binary Allocation Problems
Meirav Segal, Anne-Marie George, Ingrid Yu, Christos Dimitrakakis
- Published: 27 Oct 2023, Last Modified: 15 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Cost-aware counterfactuals for black box explanations
Natalia Martinez, Kanthi Sarpatwar, Sumanta Mukherjee, Roman Vaculin
- Published: 27 Oct 2023, Last Modified: 23 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
ObEy: Quantifiable Object-based Explainability without Ground-Truth Annotations
Lennart Schulze, William Ho, Richard Zemel
- Published: 27 Oct 2023, Last Modified: 25 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Are Large Language Models Post Hoc Explainers?
Nicholas Kroeger, Dan Ley, Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
- Published: 27 Oct 2023, Last Modified: 27 Oct 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Rectifying Group Irregularities in Explanations for Distribution Shift
Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik
- Published: 27 Oct 2023, Last Modified: 23 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Explaining Longitudinal Clinical Outcomes using Domain-Knowledge driven Intermediate Concepts
Sayantan Kumar, Thomas Kannampallil, Aristeidis Sotiras, Philip Payne
- Published: 27 Oct 2023, Last Modified: 26 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Sum-of-Parts Models: Faithful Attributions for Groups of Features
Weiqiu You, Helen Qu, Marco Gatti, Bhuvnesh Jain, Eric Wong
- Published: 27 Oct 2023, Last Modified: 10 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Explaining high-dimensional text classifiers
Odelia Melamed, Rich Caruana
- Published: 27 Oct 2023, Last Modified: 22 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Explainable Reinforcement Learning for Alzheimer’s Disease Progression Prediction.
Raja Farrukh Ali, Ayesha Farooq, Emmanuel Adeniji, John Woods, Vinny Sun, William Hsu
- Published: 27 Oct 2023, Last Modified: 30 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Visual Topics via Visual Vocabularies
Shreya Havaldar, Weiqiu You, Lyle Ungar, Eric Wong
- Published: 27 Oct 2023, Last Modified: 10 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test
Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina MC Höhne
- Published: 27 Oct 2023, Last Modified: 06 Dec 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Do Concept Bottleneck Models Obey Locality?
Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik
- Published: 27 Oct 2023, Last Modified: 21 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection
Noah Ziems, Gang Liu, John Flanagan, Meng Jiang
- Published: 27 Oct 2023, Last Modified: 16 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
On the Consistency of GNN Explainability Methods
Ehsan Hajiramezanali, Sepideh Maleki, Alex Tseng, Aicha BenTaieb, Gabriele Scalia, Tommaso Biancalani
- Published: 27 Oct 2023, Last Modified: 07 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Stability Guarantees for Feature Attributions with Multiplicative Smoothing
Anton Xue, Rajeev Alur, Eric Wong
- Published: 27 Oct 2023, Last Modified: 20 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
A Critical Survey on Fairness Benefits of XAI
Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kuehl
- Published: 27 Oct 2023, Last Modified: 20 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Empowering Domain Experts to Detect Social Bias in Generative AI with User-Friendly Interfaces
Roy Jiang, Rafal Kocielnik, Adhithya Prakash Saravanan, Pengrui Han, R. Michael Alvarez, Anima Anandkumar
- Published: 27 Oct 2023, Last Modified: 22 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
On Evaluating Explanation Utility for Human-AI Decision-Making in NLP
Fateme Hashemi Chaleshtori, Atreya Ghosal, Ana Marasovic
- Published: 27 Oct 2023, Last Modified: 27 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Exploring Practitioner Perspectives On Training Data Attribution Explanations
Elisa Nguyen, Evgenii Kortukov, Jean Song, Seong Joon Oh
- Published: 27 Oct 2023, Last Modified: 22 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Diffusion-Guided Counterfactual Generation for Model Explainability
Nishtha Madaan, Srikanta Bedathur
- Published: 27 Oct 2023, Last Modified: 01 Dec 2023
- NeurIPS XAIA 2023
- Readers: Everyone
The Disagreement Problem in Faithfulness Metrics
Brian Barr, Noah Fatsi, Leif Hancox-Li, Peter Richter, Daniel Proano
- Published: 27 Oct 2023, Last Modified: 22 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
A Simple Scoring Function to Fool SHAP: Stealing from the One Above
Jun Yuan, Aritra Dasgupta
- Published: 27 Oct 2023, Last Modified: 22 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone