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Workshop
MEGAN: Multi Explanation Graph Attention Network
Jonas Teufel · Luca Torresi · Patrick Reiser · Pascal Friederich
Poster
Learning to Generate Inversion-Resistant Model Explanations
Hoyong Jeong · Suyoung Lee · Sung Ju Hwang · Sooel Son
Poster
Tue 9:00 Inherently Explainable Reinforcement Learning in Natural Language
Xiangyu Peng · Mark Riedl · Prithviraj Ammanabrolu
Poster
Thu 9:00 Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations
Amit Dhurandhar · Karthikeyan Natesan Ramamurthy · Karthikeyan Shanmugam
Poster
Tue 14:00 RKHS-SHAP: Shapley Values for Kernel Methods
Siu Lun Chau · Robert Hu · Javier Gonz├ílez · Dino Sejdinovic
Poster
Wed 14:00 Scalable Interpretability via Polynomials
Abhimanyu Dubey · Filip Radenovic · Dhruv Mahajan
Poster
Explicable Policy Search
Ze Gong · Yu (&quot;Tony&quot;) Zhang
Workshop
Honesty as the Primary Design Guidelineof Machine Learning User Interfaces
Claudio Pinhanez
Workshop
Fri 5:34 Panel 1: Explainable AI (XAI)
Workshop
Social Construction of XAI: Do We Need One Definition to Rule Them All?
Upol Ehsan · Mark Riedl
Poster
Wed 9:00 Neural Basis Models for Interpretability
Filip Radenovic · Abhimanyu Dubey · Dhruv Mahajan
Workshop
Towards Better User Requirements: How to Involve Human Participants in XAI Research
Thu Nguyen · Jichen Zhu