LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models.
- DOI
- 10.1109/tpami.2026.3736382
- Published
- 2026 Sep 22
- Container
- IEEE transactions on pattern analysis and machine intelligence
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3736382,
title = {LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models.},
author = {Li H and Zhou Y and Zhao Z and Du S and Yao J and Xie W and Zhang Y and Wang Y},
year = {2026},
journal = {IEEE transactions on pattern analysis and machine intelligence},
doi = {10.1109/tpami.2026.3736382},
url = {https://doi.org/10.1109/tpami.2026.3736382}
}RIS
TY - JOUR TI - LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models. AU - Li H AU - Zhou Y AU - Zhao Z AU - Du S AU - Yao J AU - Xie W AU - Zhang Y AU - Wang Y PY - 2026 JO - IEEE transactions on pattern analysis and machine intelligence DO - 10.1109/tpami.2026.3736382 UR - https://doi.org/10.1109/tpami.2026.3736382 ER -
APA
H, L., Y, Z., Z, Z., S, D., J, Y., W, X., Y, Z., & Y, W. (2026). LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3736382
Source records
- pubmed · retrieved 2026-09-24T22:58:40.584Z