Dataset Pruning: Reducing Training Data by Examining SGD-Influence.

Yang S, Huang Y, Xie Z, Li P, Xu M, Nie L.

DOI: 10.1109/tpami.2026.3703395
Published: 2026-10-01
Container: IEEE Trans Pattern Anal Mach Intell
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2026.3703395,
  title = {Dataset Pruning: Reducing Training Data by Examining SGD-Influence.},
  author = {Yang S and  Huang Y and  Xie Z and  Li P and  Xu M and  Nie L.},
  year = {2026},
  journal = {IEEE Trans Pattern Anal Mach Intell},
  doi = {10.1109/tpami.2026.3703395},
  url = {https://doi.org/10.1109/tpami.2026.3703395}
}

RIS

TY  - JOUR
TI  - Dataset Pruning: Reducing Training Data by Examining SGD-Influence.
AU  - Yang S
AU  -  Huang Y
AU  -  Xie Z
AU  -  Li P
AU  -  Xu M
AU  -  Nie L.
PY  - 2026
JO  - IEEE Trans Pattern Anal Mach Intell
DO  - 10.1109/tpami.2026.3703395
UR  - https://doi.org/10.1109/tpami.2026.3703395
ER  -

APA

S, Y., Y, H., Z, X., P, L., M, X., & L., N. (2026). Dataset Pruning: Reducing Training Data by Examining SGD-Influence.. IEEE Trans Pattern Anal Mach Intell. https://doi.org/10.1109/tpami.2026.3703395

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europe-pmc · retrieved 2026-09-25T07:47:08.781Z