NeurIPS 2023 Workshop XAIA Submissions

Caution to the Exemplars: On the Intriguing Effects of Example Choice on Human Trust in XAI
Tobias Leemann, Yao Rong, Thai-Trang Nguyen, Enkelejda Kasneci, Gjergji Kasneci
- Published: 27 Oct 2023, Last Modified: 08 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
ReLax: An Efficient and Scalable Recourse Explanation Benchmarking Library using JAX
Hangzhi Guo, Xinchang Xiong, Wenbo Zhang, Amulya Yadav
- Published: 27 Oct 2023, Last Modified: 27 Oct 2023
- NeurIPS XAIA 2023
- Readers: Everyone
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations
Avinash Kori, Ben Glocker, Francesca Toni
- Published: 27 Oct 2023, Last Modified: 09 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
FRUNI and FTREE synthetic knowledge graphs for evaluating explainability
Pablo Sanchez Martin, Tarek Besold, Priyadarshini Kumari
- Published: 27 Oct 2023, Last Modified: 09 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip Torr, Ashkan Khakzar, Kenji Kawaguchi
- Published: 27 Oct 2023, Last Modified: 29 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Interactive Visual Feature Search
Devon Ulrich, Ruth Fong
- Published: 27 Oct 2023, Last Modified: 23 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
DeepDecipher: Accessing and Investigating Neuron Activation in Large Language Models
Albert Garde, Esben Kran, Fazl Barez
- Published: 27 Oct 2023, Last Modified: 21 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning
Maxime Wabartha, Joelle Pineau
- Published: 27 Oct 2023, Last Modified: 22 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
COMET: Neural Cost Model Explanation Framework
Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh
- Published: 27 Oct 2023, Last Modified: 23 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Explainable AI in Music Performance: Case Studies from Live Coding and Sound Spatialisation
Jack Armitage, Nicola Privato, Victor Shepardson, Celeste Betancur Gutierrez
- Published: 27 Oct 2023, Last Modified: 22 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
Aliyah Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Odisho, Bin Yu
- Published: 27 Oct 2023, Last Modified: 06 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Towards Explanatory Model Monitoring
Alexander Koebler, Thomas Decker, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner
- Published: 27 Oct 2023, Last Modified: 22 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Extracting human interpretable structure-property relationships in chemistry using XAI and large language models
Geemi Wellawatte, Philippe Schwaller
- Published: 27 Oct 2023, Last Modified: 10 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Are VideoQA Models Truly Multimodal?
Ishaan Rawal, Shantanu Jaiswal, Basura Fernando, Cheston Tan
- Published: 27 Oct 2023, Last Modified: 21 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Estimation of Concept Explanations Should be Uncertainty Aware
Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller
- Published: 27 Oct 2023, Last Modified: 27 Oct 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Use Perturbations when Learning from Explanations
Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
- Published: 27 Oct 2023, Last Modified: 27 Oct 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Inherent Inconsistencies of Feature Importance
Nimrod Harel, Uri Obolski, Ran Gilad-Bachrach
- Published: 27 Oct 2023, Last Modified: 27 Oct 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Optimising Human-AI Collaboration by Learning Convincing Explanations
Alex Chan, Alihan Hüyük, Mihaela van der Schaar
- Published: 27 Oct 2023, Last Modified: 08 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Emergence of Segmentation with Minimalistic White-Box Transformers
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
- Published: 27 Oct 2023, Last Modified: 21 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Ričards Marcinkevičs, Sonia Laguna, Moritz Vandenhirtz, Julia Vogt
- Published: 27 Oct 2023, Last Modified: 07 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring
Alexandra Zytek, Wei-En Wang, Sofia Koukoura, Kalyan Veeramachaneni
- Published: 27 Oct 2023, Last Modified: 23 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Explaining black box text modules in natural language with language models
Chandan Singh, Aliyah Hsu, Richard Antonello, Shailee Jain, Alexander Huth, Bin Yu, Jianfeng Gao
- Published: 27 Oct 2023, Last Modified: 06 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification
Preetam Prabhu Srikar Dammu, Chirag Shah
- Published: 27 Oct 2023, Last Modified: 16 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
Understanding Scalable Perovskite Solar Cell Manufacturing with Explainable AI
Lukas Klein, Sebastian Ziegler, Felix Laufer, Charlotte Debus, Markus Götz, Klaus Maier-Hein, Ulrich Paetzold, Fabian Isensee, Paul Jaeger
- Published: 27 Oct 2023, Last Modified: 15 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone
ExpLIMEable: An exploratory framework for LIME
Sonia Laguna, Julian Heidenreich, Jiugeng Sun, Nilüfer Cetin, Ibrahim Al Hazwani, Udo Schlegel, Furui Cheng, Mennatallah El-Assady
- Published: 27 Oct 2023, Last Modified: 07 Nov 2023
- NeurIPS XAIA 2023
- Readers: Everyone