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. 2010.01892
  4. Cited By
Joint Pruning & Quantization for Extremely Sparse Neural Networks

Joint Pruning & Quantization for Extremely Sparse Neural Networks

5 October 2020
Po-Hsiang Yu
Sih-Sian Wu
Jan P. Klopp
Liang-Gee Chen
Shao-Yi Chien
    MQ
ArXiv (abs)PDFHTML

Papers citing "Joint Pruning & Quantization for Extremely Sparse Neural Networks"

8 / 8 papers shown
Search-Optimized Quantization in Biomedical Ontology Alignment
Search-Optimized Quantization in Biomedical Ontology AlignmentFrontiers in Artificial Intelligence (Front. Artif. Intell.), 2025
Oussama Bouaggad
Natalia Grabar
MQ
165
0
0
18 Jul 2025
Effective Interplay between Sparsity and Quantization: From Theory to Practice
Effective Interplay between Sparsity and Quantization: From Theory to Practice
Simla Burcu Harma
Ayan Chakraborty
Elizaveta Kostenok
Danila Mishin
Dongho Ha
...
Martin Jaggi
Ming Liu
Yunho Oh
Suvinay Subramanian
Amir Yazdanbakhsh
MQ
349
19
0
31 May 2024
FPGA Resource-aware Structured Pruning for Real-Time Neural Networks
FPGA Resource-aware Structured Pruning for Real-Time Neural NetworksInternational Conference on Field-Programmable Technology (ICFPT), 2023
Benjamin Ramhorst
Vladimir Loncar
George A. Constantinides
191
10
0
09 Aug 2023
Towards Optimal Compression: Joint Pruning and Quantization
Towards Optimal Compression: Joint Pruning and Quantization
Ben Zandonati
Glenn Bucagu
Adrian Alan Pol
M. Pierini
Olya Sirkin
Tal Kopetz
MQ
321
5
0
15 Feb 2023
QFT: Post-training quantization via fast joint finetuning of all degrees
  of freedom
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom
Alexander Finkelstein
Ella Fuchs
Idan Tal
Mark Grobman
Niv Vosco
Eldad Meller
MQ
147
9
0
05 Dec 2022
Efficient Quantized Sparse Matrix Operations on Tensor Cores
Efficient Quantized Sparse Matrix Operations on Tensor CoresInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022
Shigang Li
Kazuki Osawa
Torsten Hoefler
412
45
0
14 Sep 2022
Training Deep Neural Networks with Joint Quantization and Pruning of
  Weights and Activations
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations
Xinyu Zhang
Ian Colbert
Ken Kreutz-Delgado
Srinjoy Das
MQ
258
12
0
15 Oct 2021
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks
Po-Hsiang Yu
Sih-Sian Wu
Liang-Gee Chen
VLM
96
0
0
17 Jan 2021
1