Namrata Nadagouda

Active metric learning and classification using similarity queries

2022 · arXiv (Cornell University)

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 either learn a representation of the data (e.g., embedding or metric …