Cited Papers

KXB20

Sujay Khandagale, Han Xiao, and Rohit Babbar. Bonsai: diverse and shallow trees for extreme multi-label classification. Machine Learning, 109:2099–2119, 2020. doi:10.1007/s10994-020-05888-2.

LCLL22

Yu-Chen Lin, Si-An Chen, Jie-Jyun Liu, and Chih-Jen Lin. Linear classifier: an often-forgotten baseline for text classification. Technical Report, National Taiwan University, 2022.

LYCL21

Jie-Jyun Liu, Tsung-Han Yang, Si-An Chen, and Chih-Jen Lin. Parameter selection: why we should pay more attention to it. In Proceedings of the 59th Annual Meeting of the Association of Computational Linguistics (ACL). 2021. Short paper. URL: https://www.csie.ntu.edu.tw/~cjlin/papers/parameter_selection/acl2021_parameter_selection.pdf.

YZW+19

Ronghui You, Zihan Zhang, Ziye Wang, Suyang Dai, Hiroshi Mamitsuka, and Shanfeng Zhu. AttentionXML: label tree-based attention-aware deep model for high-performance extreme multi-label text classification. In Advances in Neural Information Processing Systems, volume 32. 2019.