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. 2306.05056
  4. Cited By
Magnitude Attention-based Dynamic Pruning

Magnitude Attention-based Dynamic Pruning

8 June 2023
Jihye Back
Namhyuk Ahn
Jang-Hyun Kim
ArXivPDFHTML

Papers citing "Magnitude Attention-based Dynamic Pruning"

4 / 4 papers shown
Title
MaxQ: Multi-Axis Query for N:M Sparsity Network
MaxQ: Multi-Axis Query for N:M Sparsity Network
Jingyang Xiang
Siqi Li
Junhao Chen
Zhuangzhi Chen
Tianxin Huang
Linpeng Peng
Yong-Jin Liu
16
0
0
12 Dec 2023
Cyclical Pruning for Sparse Neural Networks
Cyclical Pruning for Sparse Neural Networks
Suraj Srinivas
Andrey Kuzmin
Markus Nagel
M. V. Baalen
Andrii Skliar
Tijmen Blankevoort
14
13
0
02 Feb 2022
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model
  via Refined Gradients for Pruned Weights
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
Jang-Hyun Kim
Jayeon Yoo
Yeji Song
Kiyoon Yoo
Nojun Kwak
27
6
0
10 Sep 2021
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
222
382
0
05 Mar 2020
1