3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.NI2023★ 3 cited
PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
Haibin Wang, Ce Ge, Hesen Chen +1
The wide application of pre-trained models is driving the trend of once-for-all training in one-shot neural architecture search (NAS). However, training within a huge sample space…
cs.CV2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li, Qi Qi, Jingyu Wang +4
Channel pruning can significantly accelerate and compress deep neural networks. Many channel pruning works utilize structured sparsity regularization to zero out all the weights in…