2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Active Query Synthesis for Preference Learning
Namrata Nadagouda, Nauman Ahad, Maegan Tucker +1
Efficient learning of user preferences is crucial for many modern decision making systems but typically requires costly labeled data. Active learning reduces this cost, yet standar…
cs.LG2022★ 2 cited
Active metric learning and classification using similarity queries
Namrata Nadagouda, Austin Xu, Mark A. Davenport
Active learning is commonly used to train label-efficient models by adaptively selecting the most informative queries. However, most active learning strategies are designed to eith…