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public:multi-label_classification
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public:multi-label_classification [2021/05/18 22:03] htlin [paper] |
public:multi-label_classification [2021/08/30 07:20] htlin |
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| ====== Our Related Works ====== | ====== Our Related Works ====== | ||
| ===== paper ===== | ===== paper ===== | ||
| - | * [MY2020] Michelle Yuan, Hsuan-Tien Lin, and Jordan Boyd-Graber. Cold-start active learning through self-supervised language modeling. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020. | + | * [YY2019] Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, and Hsuan-Tien Lin. Deep learning with a rethinking structure for multi-label classification. In Proceedings of the Asian Conference on Machine Learning (ACML), November 2019. |
| * [HC2019] Hong-Min Chu, Kuan-Hao Huang, and Hsuan-Tien Lin. Dynamic principal projection for cost-sensitive online multi-label classification. Machine Learning, 2019. Accepted, to be presented in the journal track of ECML '19. | * [HC2019] Hong-Min Chu, Kuan-Hao Huang, and Hsuan-Tien Lin. Dynamic principal projection for cost-sensitive online multi-label classification. Machine Learning, 2019. Accepted, to be presented in the journal track of ECML '19. | ||
| * [HC2018] Hsien-Chun Chiu and Hsuan-Tien Lin. Multi-label classification with feature-aware cost-sensitive label embedding. In Proceedings of the Conference on Technologies and Applications for Artificial Intelligence (TAAI), November 2018. | * [HC2018] Hsien-Chun Chiu and Hsuan-Tien Lin. Multi-label classification with feature-aware cost-sensitive label embedding. In Proceedings of the Conference on Technologies and Applications for Artificial Intelligence (TAAI), November 2018. | ||
public/multi-label_classification.txt · Last modified: 2021/08/30 07:27 by htlin
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