3 citations · 6 across the 4 of their papers we have counts for
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cs.LG2026
Self-Boosting Vision-Language Models with Noisy Student On-Policy Self-Distillation
Shuai Wang, Daoan Zhang, Zhe Tang +2
Post-training enables vision-language models (VLMs) to understand human instructions and perform various downstream tasks. Current post-training methods usually rely on human-annot…
cs.LG2024★ 3 cited
LNPT: Label-free Network Pruning and Training
Jinying Xiao, Ping Li, Zhe Tang +1
Pruning before training enables the deployment of neural networks on smart devices. By retaining weights conducive to generalization, pruned networks can be accommodated on resourc…
cs.LG2024★ 3 cited
SEVEN: Pruning Transformer Model by Reserving Sentinels
Jinying Xiao, Ping Li, Jie Nie +1
Large-scale Transformer models (TM) have demonstrated outstanding performance across various tasks. However, their considerable parameter size restricts their applicability, partic…