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08/01/2023
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
Models trained with empirical risk minimization (ERM) are known to learn...
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07/24/2023
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis
Automatically summarizing radiology reports into a concise impression ca...
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07/19/2023
Interpreting and Correcting Medical Image Classification with PIP-Net
Part-prototype models are explainable-by-design image classifiers, and a...
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09/06/2022
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent
The goal of Explainable AI (XAI) is to design methods to provide insight...
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01/20/2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
The rising popularity of explainable artificial intelligence (XAI) to un...
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01/13/2022
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)
AI/Computing at scale is a difficult problem, especially in a health car...
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12/27/2019
Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection
Today, many companies take advantage of viral marketing to promote their...
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12/09/2019
Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings
We consider the initial situation where a dataset has been over-partitio...
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10/20/2019