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. 2004.02396
  4. Cited By
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs

A Learning Framework for n-bit Quantized Neural Networks toward FPGAs

6 April 2020
Jun Chen
L. Liu
Yong Liu
Xianfang Zeng
    MQ
ArXivPDFHTML

Papers citing "A Learning Framework for n-bit Quantized Neural Networks toward FPGAs"

4 / 4 papers shown
Title
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Jun Chen
Shipeng Bai
Tianxin Huang
Mengmeng Wang
Guanzhong Tian
Y. Liu
MQ
34
18
0
02 Jul 2023
Learning Discretized Neural Networks under Ricci Flow
Learning Discretized Neural Networks under Ricci Flow
Jun Chen
Han Chen
Mengmeng Wang
Guang Dai
Ivor W. Tsang
Y. Liu
20
2
0
07 Feb 2023
ACQ: Improving Generative Data-free Quantization Via Attention
  Correction
ACQ: Improving Generative Data-free Quantization Via Attention Correction
Jixing Li
Xiaozhou Guo
Benzhe Dai
Guoliang Gong
Min Jin
Gang Chen
Wenyu Mao
Huaxiang Lu
MQ
30
4
0
18 Jan 2023
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
319
1,049
0
10 Feb 2017
1