Concept mask-aware pruning and augmentation for few sample model compression.
- DOI
- 10.1016/j.neunet.2026.109288
- Published
- 2026 Dec
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109288,
title = {Concept mask-aware pruning and augmentation for few sample model compression.},
author = {Sun Y and Wang X and Huang J and Chen S},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109288},
url = {https://doi.org/10.1016/j.neunet.2026.109288}
}RIS
TY - JOUR TI - Concept mask-aware pruning and augmentation for few sample model compression. AU - Sun Y AU - Wang X AU - Huang J AU - Chen S PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109288 UR - https://doi.org/10.1016/j.neunet.2026.109288 ER -
APA
Y, S., X, W., J, H., & S, C. (2026). Concept mask-aware pruning and augmentation for few sample model compression.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109288
Source records
- pubmed · retrieved 2026-09-25T19:37:00.116Z