VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making

Anindya Das Antar, Somayeh Molaei, Yan-Ying Chen, Matthew L. Lee, Nikola Banovic 0001. VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making. In Lining Yao, Mayank Goel, Alexandra Ion, Pedro Lopes 0001, editors, Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, UIST 2024, Pittsburgh, PA, USA, October 13-16, 2024. ACM, 2024. [doi]

Abstract

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