105 citations · 217 across the 26 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2023
Learning Sparse Neural Networks with Identity Layers
Mingjian Ni, Guangyao Chen, Xiawu Zheng +3
The sparsity of Deep Neural Networks is well investigated to maximize the performance and reduce the size of overparameterized networks as possible. Existing methods focus on pruni…
cs.LG2023★ 2 cited
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network
Man Yao, Yuhong Chou, Guangshe Zhao +4
The Lottery Ticket Hypothesis (LTH) states that a randomly-initialized large neural network contains a small sub-network (i.e., winning tickets) which, when trained in isolation, c…
cs.LG2023★ 6 cited
A Unified Framework for Soft Threshold Pruning
Yanqi Chen, Zhengyu Ma, Wei Fang +3
Soft threshold pruning is among the cutting-edge pruning methods with state-of-the-art performance. However, previous methods either perform aimless searching on the threshold sche…