Search Results for author: Rachel Bellamy

Found 1 papers, 0 papers with code

Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience

no code implementations24 Jan 2020 Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel Bellamy, Klaus Mueller

We conducted an empirical study comparing the model learning outcomes, feedback content and experience with XAL, to that of traditional AL and coactive learning (providing the model's prediction without the explanation).

Active Learning Explainable Artificial Intelligence (XAI)

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