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DASNet: Dynamic Activation Sparsity for Neural Network Efficiency
  Improvement

DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement

13 September 2019
Qing Yang
Jiachen Mao
Zuoguan Wang
H. Li
ArXivPDFHTML

Papers citing "DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement"

2 / 2 papers shown
Title
Dual sparse training framework: inducing activation map sparsity via
  Transformed $\ell1$ regularization
Dual sparse training framework: inducing activation map sparsity via Transformed ℓ1\ell1ℓ1 regularization
Xiaolong Yu
Cong Tian
52
0
0
30 May 2024
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML
  Models: A Survey and Insights
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave
Riyadh Baghdadi
Tony Nowatzki
Sasikanth Avancha
Aviral Shrivastava
Baoxin Li
59
82
0
02 Jul 2020
1