2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2021
Network Pruning That Matters: A Case Study on Retraining Variants
Duong H. Le, Binh-Son Hua
Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art tec…
cs.CV2020★ 2 cited
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation
Duong H. Le, Trung-Nhan Vo, Nam Thoai
Network pruning is one of the most dominant methods for reducing the heavy inference cost of deep neural networks. Existing methods often iteratively prune networks to attain high…