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Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning.

, , and . ICDM, page 251-260. IEEE Computer Society, (2015)

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ERNIE 2.0: A Continual Pre-training Framework for Language Understanding., , , , , , and . CoRR, (2019)ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding., , , , , , and . AAAI, page 8968-8975. AAAI Press, (2020)Binary relevance for multi-label learning: an overview., , , and . Frontiers Comput. Sci., 12 (2): 191-202 (2018)Towards Class-Imbalance Aware Multi-Label Learning., , and . IJCAI, page 4041-4047. AAAI Press, (2015)Enhancing Binary Relevance for Multi-label Learning with Controlled Label Correlations Exploitation., and . PRICAI, volume 8862 of Lecture Notes in Computer Science, page 91-103. Springer, (2014)Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning., , and . ICDM, page 251-260. IEEE Computer Society, (2015)ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation., , , , , , and . IJCAI, page 3997-4003. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding., , , , , , and . CoRR, (2020)ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding., , , , , , and . NAACL-HLT, page 1702-1715. Association for Computational Linguistics, (2021)ERNIE: Enhanced Representation through Knowledge Integration., , , , , , , , , and . CoRR, (2019)