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.
VIME - Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Lear
Taught by
ACM SIGCHI
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