ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.08050
  4. Cited By
Sparseout: Controlling Sparsity in Deep Networks

Sparseout: Controlling Sparsity in Deep Networks

17 April 2019
Najeeb Khan
Ian Stavness
    BDL
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Sparseout: Controlling Sparsity in Deep Networks"

2 / 2 papers shown
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
Multi-Objective Optimization for Sparse Deep Multi-Task LearningIEEE International Joint Conference on Neural Network (IJCNN), 2023
S. S. Hotegni
M. Berkemeier
S. Peitz
349
8
0
23 Aug 2023
Training Sparse Neural Network by Constraining Synaptic Weight on Unit
  Lp Sphere
Training Sparse Neural Network by Constraining Synaptic Weight on Unit Lp Sphere
Weipeng Li
Xiaogang Yang
Chuanxiang Li
Ruitao Lu
Xueli Xie
162
0
0
30 Mar 2021
1
Page 1 of 1