Search Results for author: Liyue Zhao

Found 2 papers, 1 papers with code

A Variational Approach for Learning from Positive and Unlabeled Data

1 code implementation NeurIPS 2020 Hui Chen, Fangqing Liu, Yin Wang, Liyue Zhao, Hao Wu

Learning binary classifiers only from positive and unlabeled (PU) data is an important and challenging task in many real-world applications, including web text classification, disease gene identification and fraud detection, where negative samples are difficult to verify experimentally.

Fraud Detection text-classification +1

An Active Learning Approach for Jointly Estimating Worker Performance and Annotation Reliability with Crowdsourced Data

no code implementations16 Jan 2014 Liyue Zhao, Yu Zhang, Gita Sukthankar

Crowdsourcing platforms offer a practical solution to the problem of affordably annotating large datasets for training supervised classifiers.

Active Learning

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