To Be or not to Be, Tail Labels in Extreme Multi-label Learning.

Zhiqi Ge|Ximing Li


Anthology ID:DBLP:conf/cikm/GeL21
Volume:CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Year:2021
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:555-564
URL:https://doi.org/10.1145/3459637.3482303
DOI:https://doi.org/10.1145/3459637.3482303
DBLP:conf/cikm/GeL21
BibTeX:
@inproceedings{ge-2021-tail, author = {Zhiqi Ge and Ximing Li}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{To Be or not to Be, Tail Labels in Extreme Multi-label Learning}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {555--564}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482303}, doi = {https://doi.org/10.1145/3459637.3482303} }