1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Dense Vision Transformer Compression with Few Samples
Hanxiao Zhang, Yifan Zhou, Guo-Hua Wang +1
Few-shot model compression aims to compress a large model into a more compact one with only a tiny training set (even without labels). Block-level pruning has recently emerged as a…
cs.CV2023★ 1 cited
Practical Network Acceleration with Tiny Sets: Hypothesis, Theory, and Algorithm
Guo-Hua Wang, Jianxin Wu
Due to data privacy issues, accelerating networks with tiny training sets has become a critical need in practice. Previous methods achieved promising results empirically by filter-…