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. 2009.14410
  4. Cited By
Pruning Filter in Filter

Pruning Filter in Filter

30 September 2020
Fanxu Meng
Hao Cheng
Ke Li
Huixiang Luo
Xiao-Wei Guo
Guangming Lu
Xing Sun
    VLM
ArXivPDFHTML

Papers citing "Pruning Filter in Filter"

15 / 15 papers shown
Title
Hardware-Aware DNN Compression for Homogeneous Edge Devices
Kunlong Zhang
Guiying Li
Ning Lu
Peng Yang
K. Tang
54
0
0
28 Jan 2025
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
Tianyi Chen
Xiaoyi Qu
David Aponte
Colby R. Banbury
Jongwoo Ko
Tianyu Ding
Yong Ma
Vladimir Lyapunov
Ilya Zharkov
Luming Liang
83
1
0
11 Sep 2024
A Generic Layer Pruning Method for Signal Modulation Recognition Deep
  Learning Models
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
Yao Lu
Yutao Zhu
Yuqi Li
Dongwei Xu
Yun Lin
Qi Xuan
Xiaoniu Yang
39
5
0
12 Jun 2024
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
Lixiang Han
Zhen Xiao
Zhenjiang Li
41
5
0
17 Jan 2024
Spatial Re-parameterization for N:M Sparsity
Spatial Re-parameterization for N:M Sparsity
Yu-xin Zhang
Mingbao Lin
Yunshan Zhong
Mengzhao Chen
Rongrong Ji
41
2
0
09 Jun 2023
Network Pruning Spaces
Network Pruning Spaces
Xuanyu He
Yu-I Yang
Ran Song
Jiachen Pu
Conggang Hu
Feijun Jiang
Wei Zhang
Huanghao Ding
3DPC
27
0
0
19 Apr 2023
Bi-directional Masks for Efficient N:M Sparse Training
Bi-directional Masks for Efficient N:M Sparse Training
Yu-xin Zhang
Yiting Luo
Mingbao Lin
Yunshan Zhong
Jingjing Xie
Rongrong Ji
Rongrong Ji
46
15
0
13 Feb 2023
Training-free Transformer Architecture Search
Training-free Transformer Architecture Search
Qinqin Zhou
Kekai Sheng
Xiawu Zheng
Ke Li
Xing Sun
Yonghong Tian
Jie Chen
Rongrong Ji
ViT
32
46
0
23 Mar 2022
Automatic Neural Network Pruning that Efficiently Preserves the Model
  Accuracy
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy
Thibault Castells
Seul-Ki Yeom
3DV
18
3
0
18 Nov 2021
RGP: Neural Network Pruning through Its Regular Graph Structure
RGP: Neural Network Pruning through Its Regular Graph Structure
Zhuangzhi Chen
Jingyang Xiang
Yao Lu
Qi Xuan
Xiaoniu Yang
25
1
0
28 Oct 2021
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
Yanli Liu
Bochen Guan
Qinwen Xu
Weiyi Li
Shuxue Quan
25
2
0
21 Oct 2021
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting
  and Output Merging
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
25
15
0
30 Sep 2021
Training Compact CNNs for Image Classification using Dynamic-coded
  Filter Fusion
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
Mingbao Lin
Bohong Chen
Rongrong Ji
Rongrong Ji
VLM
25
23
0
14 Jul 2021
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
137
189
0
19 Mar 2020
Structured Pruning for Efficient ConvNets via Incremental Regularization
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang
Qiming Zhang
Yuehai Wang
Haoji Hu
3DPC
40
45
0
20 Nov 2018
1