Interpretable Meta-weighting Sparse Neural Additive Networks for Datasets with Label Noise and Class Imbalance.

Xuelin Zhang|Hong Chen|Lingjuan Wu


Anthology ID:DBLP:conf/cikm/Zhang0W25
Volume:Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Year:2025
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:5505-5509
URL:https://doi.org/10.1145/3746252.3760829
DOI:https://doi.org/10.1145/3746252.3760829
DBLP:conf/cikm/Zhang0W25
BibTeX:
@inproceedings{zhang-2025-interpretable, author = {Xuelin Zhang and Hong Chen and Lingjuan Wu}, editor = {Meeyoung Cha and Carl Yang and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{Interpretable Meta-weighting Sparse Neural Additive Networks for Datasets with Label Noise and Class Imbalance}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {5505--5509}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3760829}, doi = {https://doi.org/10.1145/3746252.3760829} }