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. 2110.07720
  4. Cited By
Decomposing Convolutional Neural Networks into Reusable and Replaceable
  Modules

Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules

11 October 2021
Rangeet Pan
Hridesh Rajan
    MoMe
ArXivPDFHTML

Papers citing "Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules"

2 / 2 papers shown
Title
Improving DNN Modularization via Activation-Driven Training
Improving DNN Modularization via Activation-Driven Training
Tuan Ngo
Abid Hassan
Saad Shafiq
Nenad Medvidovic
MoMe
27
0
0
01 Nov 2024
Decomposing a Recurrent Neural Network into Modules for Enabling
  Reusability and Replacement
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement
S. Imtiaz
Fraol Batole
Astha Singh
Rangeet Pan
Breno Dantas Cruz
Hridesh Rajan
18
7
0
09 Dec 2022
1