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. 1705.09283
  4. Cited By
GXNOR-Net: Training deep neural networks with ternary weights and
  activations without full-precision memory under a unified discretization
  framework

GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework

25 May 2017
Lei Deng
Peng Jiao
Jing Pei
Zhenzhi Wu
Guoqi Li
    MQ
ArXivPDFHTML

Papers citing "GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework"

3 / 3 papers shown
Title
A Survey on Methods and Theories of Quantized Neural Networks
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
MQ
27
230
0
13 Aug 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks
  per Bit?
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Shilin Zhu
Xin Dong
Hao Su
MQ
16
135
0
20 Jun 2018
Constrained Image Generation Using Binarized Neural Networks with
  Decision Procedures
Constrained Image Generation Using Binarized Neural Networks with Decision Procedures
S. Korneev
Nina Narodytska
Luca Pulina
A. Tacchella
Nikolaj S. Bjørner
Shmuel Sagiv
MQ
23
13
0
24 Feb 2018
1