Data Quality-based Gradient Optimization for Recurrent Neural Networks.

Feihu Huang|Peiyu Yi|Shan Li|Haiwen Xu


Anthology ID:DBLP:conf/www/HuangYLX24
Volume:Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1496-1501
URL:https://doi.org/10.1145/3589335.3651918
DOI:https://doi.org/10.1145/3589335.3651918
DBLP:conf/www/HuangYLX24
BibTeX:
@inproceedings{huang-2024-data, author = {Feihu Huang and Peiyu Yi and Shan Li and Haiwen Xu}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Roy Ka-Wei Lee and Ravi Kumar and Hady Wirawan Lauw}, title = {{Data Quality-based Gradient Optimization for Recurrent Neural Networks}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}}, pages = {1496--1501}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589335.3651918}, doi = {https://doi.org/10.1145/3589335.3651918} }