Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories
Simret Araya Gebreegziabher, Yukun Yang, Elena L. Glassman, Toby Jia-Jun Li
2025年份
5被引次数
6顶会引用
摘要
An important challenge in interactive machine learning, particularly in subjective or ambiguous domains, is fostering bi-directional alignment between humans and models. Users teach models their concept definition through data labeling, while refining their own understandings throughout the process. To facilitate this, we introduce Mocha, an interactive machine learning tool informed
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引用它的顶会 Paper6
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