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. 1702.08231
  4. Cited By
Low-Precision Batch-Normalized Activations

Low-Precision Batch-Normalized Activations

27 February 2017
Benjamin Graham
    MQ
ArXivPDFHTML

Papers citing "Low-Precision Batch-Normalized Activations"

4 / 4 papers shown
Title
Enabling Binary Neural Network Training on the Edge
Enabling Binary Neural Network Training on the Edge
Erwei Wang
James J. Davis
Daniele Moro
Piotr Zielinski
Jia Jie Lim
C. Coelho
S. Chatterjee
P. Cheung
G. Constantinides
MQ
15
24
0
08 Feb 2021
Constructing Energy-efficient Mixed-precision Neural Networks through
  Principal Component Analysis for Edge Intelligence
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence
I. Chakraborty
Deboleena Roy
Isha Garg
Aayush Ankit
Kaushik Roy
17
37
0
04 Jun 2019
PACT: Parameterized Clipping Activation for Quantized Neural Networks
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi
Zhuo Wang
Swagath Venkataramani
P. Chuang
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
9
936
0
16 May 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,740
0
26 Sep 2016
1