Full Citation
Title: Principal Component Networks: Utilizing Low-Rank Activation Structure to Reduce Parameters Early in Training
Citation Type: Journal Article
Publication Year: 2024
ISBN:
ISSN:
DOI: 10.1145/3592389
NSFID:
PMCID:
PMID:
Abstract:
Url: https://doi.org/10.1145/3592389
User Submitted?: No
Authors: Miao, W; Liu, L; Li, Y; Tchetgen, E J Tchetgen; Geng, Z
Periodical (Full): ACM/IMS Journal of Data Science
Issue: 2
Volume: 1
Pages:
Countries:
citations