3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Lingao Xiao, Yang He
In ImageNet-condensation, the storage for auxiliary soft labels exceeds that of the condensed dataset by over 30 times. However, are large-scale soft labels necessary for large-sca…
cs.CV2024★ 2 cited
Multisize Dataset Condensation
Yang He, Lingao Xiao, Joey Tianyi Zhou +1
While dataset condensation effectively enhances training efficiency, its application in on-device scenarios brings unique challenges. 1) Due to the fluctuating computational resour…
cs.CV2023★ 3 cited
You Only Condense Once: Two Rules for Pruning Condensed Datasets
Yang He, Lingao Xiao, Joey Tianyi Zhou
Dataset condensation is a crucial tool for enhancing training efficiency by reducing the size of the training dataset, particularly in on-device scenarios. However, these scenarios…