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Workshop
Sat 12:01 Towards the next generation explainable AI that promotes AI-human mutual understanding
Janet Hsiao · Antoni Chan
Workshop
Can We Count on Deep Learning: Exploring and Characterizing Combinatorial Structures Using Machine Learning
Helen Jenne · Herman Chau · Davis Brown · Jackson Warley · Tim Doster · Henry Kvinge
Workshop
Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
Workshop
Goal-Conditioned Recommendations of AI Explanations
Saptarashmi Bandyopadhyay · Vibhu Agrawal · John Dickerson
Affinity Workshop
Explainable Identification of Hate Speech towards Islam using Graph Neural Networks
Azmine Toushik Wasi
Workshop
Are Large Language Models Post Hoc Explainers?
Nicholas Kroeger · Dan Ley · Satyapriya Krishna · Chirag Agarwal · Himabindu Lakkaraju
Workshop
Explaining high-dimensional text classifiers
Odelia Melamed · Rich Caruana
Workshop
Sat 12:01 FRUNI and FTREE synthetic knowledge graphs for evaluating explainability
Pablo Sanchez-Martin · Tarek R. Besold · Priyadarshini Kumari
Workshop
Visual Expertise Explains Image Inversion Effects
Martha Gahl · Shubham Kulkarni · Nikhil Pathak · Alex Russell · Gary Cottrell
Workshop
Explaining Explainers: Necessity and Sufficiency in Tabular Data
Prithwijit Chowdhury · Mohit Prabhushankar · Ghassan AlRegib
Workshop
Sat 12:01 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
Affinity Workshop
Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos