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Model Explanation by Optimal Selection of Teaching Examples
Our contributions to XAI can be summarized by four lines of work: (1) developing novel XAI techniques, (2) demonstrating successful XAI systems with empirical validation, (3) advancing our understanding of the psychology of explainability, and (4) contributing to the mathematical foundations of XAI. The theme of our approach is to incorporate human inference into all aspects of XAI.
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