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VIME - Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning

Association for Computing Machinery (ACM) via YouTube

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Watch a 15-minute conference talk from the 37th Annual ACM Symposium on User Interface Software and Technology (UIST 2024) exploring a visual interactive tool designed to help users understand and identify the capabilities and limitations of machine learning models. Learn about VIME, an innovative system that enables users to interactively explore and analyze machine learning model behavior through visual interfaces, providing insights into model strengths and weaknesses.

Syllabus

VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Lear

Taught by

ACM SIGCHI

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