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. 1808.02513
  4. Cited By
Rethinking Numerical Representations for Deep Neural Networks

Rethinking Numerical Representations for Deep Neural Networks

7 August 2018
Parker Hill
Babak Zamirai
Shengshuo Lu
Yu-Wei Chao
M. Laurenzano
M. Samadi
M. Papaefthymiou
S. Mahlke
T. Wenisch
Jia Deng
Lingjia Tang
Jason Mars
ArXiv (abs)PDFHTML

Papers citing "Rethinking Numerical Representations for Deep Neural Networks"

5 / 5 papers shown
Optimizing the AI Development Process by Providing the Best Support
  Environment
Optimizing the AI Development Process by Providing the Best Support Environment
Taha Khamis
Hamam Mokayed
333
1
0
29 Apr 2023
Constrained deep neural network architecture search for IoT devices
  accounting hardware calibration
Constrained deep neural network architecture search for IoT devices accounting hardware calibrationNeural Information Processing Systems (NeurIPS), 2019
Florian Scheidegger
Luca Benini
C. Bekas
A. Malossi
3DV
193
17
0
24 Sep 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and
  Challenges
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and ChallengesACM Computing Surveys (ACM CSUR), 2019
Rob Ashmore
R. Calinescu
Colin Paterson
AI4TS
300
135
0
10 May 2019
Progressive Stochastic Binarization of Deep Networks
Progressive Stochastic Binarization of Deep Networks
David Hartmann
Michael Wand
MQ
250
1
0
03 Apr 2019
Computation Error Analysis of Block Floating Point Arithmetic Oriented
  Convolution Neural Network Accelerator Design
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design
Zhourui Song
Zhenyu Liu
Dongsheng Wang
180
47
0
22 Sep 2017
1
Page 1 of 1