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MixPUL: Consistency-based Augmentation for Positive and Unlabeled
  Learning

MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning

20 April 2020
Tong Wei
Feng Shi
Hai Wang
Wei-Wei Tu. Yu-Feng Li
ArXiv (abs)PDFHTML

Papers citing "MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning"

2 / 2 papers shown
A Positive-Unlabeled Metric Learning Framework for Document-Level
  Relation Extraction with Incomplete Labeling
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete LabelingAAAI Conference on Artificial Intelligence (AAAI), 2023
Ye Wang
Huazheng Pan
Tao Zhang
Wen Wu
Wen-zhong Hu
407
11
0
26 Jun 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and ExplainabilityACM Computing Surveys (ACM CSUR), 2022
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
372
64
0
21 Dec 2022
1
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