Lassonet: A neural network with feature sparsity

被引:0
|
作者
Lemhadri, Ismael [1 ]
Ruan, Feng [2 ]
Abraham, Louis [3 ]
Tibshirani, Robert [4 ]
机构
[1] Department of Statistics, Stanford University, Stanford, United States
[2] Department of Statistics, University of California, Berkeley, United States
[3] Gematria Technologies, London, United Kingdom
[4] Departments of Biomedical Data Sciences, and Statistics, Stanford University, Stanford, United States
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [11] Accelerating Convolutional Neural Network by Exploiting Sparsity on GPUs
    Xu, Weizhi
    Sun, Yintai
    Fan, Shengyu
    Yu, Hui
    Fu, Xin
    ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2023, 20 (03)
  • [12] Robustness Analysis of Neural Network Designs with Sparsity Investigation
    Chen, Yean-Ru
    Chiu, Chi-Chieh
    Chen, Hang
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2024, 40 (03) : 595 - 614
  • [13] The impact of sparsity and entropy criteria on neural network performance
    Boreland, Bryson
    Kunze, Herb
    Levere, Kim
    ANNALS OF OPERATIONS RESEARCH, 2025, 346 (02) : 827 - 838
  • [14] VSCNN: Convolution Neural Network Accelerator With Vector Sparsity
    Chang, Kuo-Wei
    Chang, Tian-Sheuan
    2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2019,
  • [15] Deep Neural Network Acceleration Method Based on Sparsity
    He, Ming
    Zhao, Haiwu
    Wang, Guozhong
    Chen, Yu
    Zhu, Linlin
    Gao, Yuan
    DIGITAL TV AND MULTIMEDIA COMMUNICATION, 2019, 1009 : 133 - 145
  • [16] Register Tiling for Unstructured Sparsity in Neural Network Inference
    Wilkinson, Lucas
    Cheshmi, Kazem
    Dehnavi, Maryam Mehri
    PROCEEDINGS OF THE ACM ON PROGRAMMING LANGUAGES-PACMPL, 2023, 7 (PLDI):
  • [17] Feature flow regularization: Improving structured sparsity in deep neural networks
    Wu, Yue
    Lan, Yuan
    Zhang, Luchan
    Xiang, Yang
    NEURAL NETWORKS, 2023, 161 : 598 - 613
  • [19] Block-sparsity recovery via recurrent neural network
    Lyu, Chengcheng
    Liu, Zhou
    Yu, Lei
    SIGNAL PROCESSING, 2019, 154 : 129 - 135
  • [20] DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement
    Yang, Qing
    Mao, Jiachen
    Wang, Zuoguan
    Li, Hai
    2019 IEEE 31ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2019), 2019, : 1401 - 1405