Austin Xu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Manually Labeled

Metric Learning

Top Venues

Publications

Austin Xu, Will Monroe, Klinton Bicknell
Large language model augmented exercise retrieval for personalized language learning. LAK (2024)
Austin Xu, Will Monroe, Klinton Bicknell
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning. CoRR (2024)
Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. NeurIPS (2023)
Namrata Nadagouda, Austin Xu, Mark A. Davenport
Active metric learning and classification using similarity queries. UAI (2023)
Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. CoRR (2023)
Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri
HandsOff: Labeled Dataset Generation With No Additional Human Annotations. CVPR (2023)
Andrew D. McRae, Austin Xu, Jihui Jin, Namrata Nadagouda, Nauman Ahad, Peimeng Guan, Santhosh Karnik, Mark A. Davenport
Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons. ICASSP (2022)
Namrata Nadagouda, Austin Xu, Mark A. Davenport
Active metric learning and classification using similarity queries. CoRR (2022)
Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri
HandsOff: Labeled Dataset Generation With No Additional Human Annotations. CoRR (2022)
Austin Xu, Mark A. Davenport
Simultaneous Preference and Metric Learning from Paired Comparisons. CoRR (2020)
Austin Xu, Mark A. Davenport
Simultaneous Preference and Metric Learning from Paired Comparisons. NeurIPS (2020)