Curiosity-driven cooperation for long-tailed multi-label learning.
- DOI
- 10.1016/j.neunet.2026.109075
- Published
- 2026 Oct
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109075,
title = {Curiosity-driven cooperation for long-tailed multi-label learning.},
author = {Xiao C and Zhao C and Ke Z and Shen F and Shen L},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109075},
url = {https://doi.org/10.1016/j.neunet.2026.109075}
}RIS
TY - JOUR TI - Curiosity-driven cooperation for long-tailed multi-label learning. AU - Xiao C AU - Zhao C AU - Ke Z AU - Shen F AU - Shen L PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109075 UR - https://doi.org/10.1016/j.neunet.2026.109075 ER -
APA
C, X., C, Z., Z, K., F, S., & L, S. (2026). Curiosity-driven cooperation for long-tailed multi-label learning.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109075
Source records
- pubmed · retrieved 2026-09-26T03:53:32.753Z