2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Adapt-Pruner: Adaptive Structural Pruning for Efficient Small Language Model Training
Rui Pan, Shivanshu Shekhar, Boyao Wang +5
Small language models (SLMs) have attracted considerable attention from both academia and industry due to their broad range of applications in edge devices. To obtain SLMs with str…
cs.CV2024★ 2 cited
RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration
Boyao Wang, Volodymyr Kindratenko
Convolutional Neural Networks (CNNs) have demonstrated exceptional performance in recent years. Compressing these models not only reduces storage requirements, making deployment to…