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. 2311.17493
  4. Cited By
Towards Higher Ranks via Adversarial Weight Pruning

Towards Higher Ranks via Adversarial Weight Pruning

29 November 2023
Yuchuan Tian
Hanting Chen
Tianyu Guo
Chao Xu
Yunhe Wang
ArXivPDFHTML

Papers citing "Towards Higher Ranks via Adversarial Weight Pruning"

5 / 5 papers shown
Title
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
87
54
0
01 Oct 2021
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
39
166
0
21 Oct 2020
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
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
DehazeNet: An End-to-End System for Single Image Haze Removal
DehazeNet: An End-to-End System for Single Image Haze Removal
Bolun Cai
Xiangmin Xu
K. Jia
Chunmei Qing
Dacheng Tao
117
2,399
0
28 Jan 2016
1