A novel approach to lossless convolutional neural network compression via progressive knowledge distillation-incorporated low-rank compression
- DOI
- 10.1016/j.neunet.2026.109631
- Published
- 2027-01
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109631,
title = {A novel approach to lossless convolutional neural network compression via progressive knowledge distillation-incorporated low-rank compression},
author = {Yaping He and Hao Wu and Weibo Liu and Xin Luo},
year = {2027},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.109631},
url = {https://doi.org/10.1016/j.neunet.2026.109631}
}RIS
TY - JOUR TI - A novel approach to lossless convolutional neural network compression via progressive knowledge distillation-incorporated low-rank compression AU - Yaping He AU - Hao Wu AU - Weibo Liu AU - Xin Luo PY - 2027 JO - Neural Networks DO - 10.1016/j.neunet.2026.109631 UR - https://doi.org/10.1016/j.neunet.2026.109631 ER -
APA
He, Y., Wu, H., Liu, W., & Luo, X. (2027). A novel approach to lossless convolutional neural network compression via progressive knowledge distillation-incorporated low-rank compression. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109631
Source records
- crossref · retrieved 2026-09-26T03:05:00.660Z