ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.12844
  4. Cited By
Reconstructing Pruned Filters using Cheap Spatial Transformations

Reconstructing Pruned Filters using Cheap Spatial Transformations

25 October 2021
Roy Miles
K. Mikolajczyk
ArXivPDFHTML

Papers citing "Reconstructing Pruned Filters using Cheap Spatial Transformations"

3 / 3 papers shown
Title
SCOP: Scientific Control for Reliable Neural Network Pruning
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Dacheng Tao
Chunjing Xu
Chao Xu
Chang Xu
AAML
37
165
0
21 Oct 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for
  Network Compression
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
Yawei Li
Shuhang Gu
Christoph Mayer
Luc Van Gool
Radu Timofte
123
1
0
19 Mar 2020
Channel Pruning via Automatic Structure Search
Channel Pruning via Automatic Structure Search
Mingbao Lin
Rongrong Ji
Yu-xin Zhang
Baochang Zhang
Yongjian Wu
Yonghong Tian
68
241
0
23 Jan 2020
1