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08/25/2023
AdvisingNets: Learning to Distinguish Correct and Wrong Classifications via Nearest-Neighbor Explanations
Besides providing insights into how an image classifier makes its predic...
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07/28/2023
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
Even though machine learning (ML) pipelines affect an increasing array o...
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04/13/2023
Learning Personalized Decision Support Policies
Individual human decision-makers may benefit from different forms of sup...
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02/16/2023
Assisting Human Decisions in Document Matching
Many practical applications, ranging from paper-reviewer assignment in p...
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02/15/2023
A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies
When conducting user studies to ascertain the usefulness of model explan...
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01/18/2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
AI explanations are often mentioned as a way to improve human-AI decisio...
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06/24/2022
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
Machine Learning (ML) models now inform a wide range of human decisions,...
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06/05/2022
Use-Case-Grounded Simulations for Explanation Evaluation
A growing body of research runs human subject evaluations to study wheth...
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05/13/2022
Perspectives on Incorporating Expert Feedback into Model Updates
Machine learning (ML) practitioners are increasingly tasked with develop...
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12/12/2021
Bayesian Persuasion for Algorithmic Recourse
When subjected to automated decision-making, decision subjects may strat...
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03/10/2021
Towards Connecting Use Cases and Methods in Interpretable Machine Learning
Despite increasing interest in the field of Interpretable Machine Learni...
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06/09/2019
Novelty Detection via Network Saliency in Visual-based Deep Learning
Machine-learning driven safety-critical autonomous systems, such as self...
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01/02/2019
