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. 2405.05141
  4. Cited By
Learning-to-learn enables rapid learning with phase-change memory-based
  in-memory computing

Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing

22 April 2024
Thomas Ortner
Horst Petschenig
Athan Vasilopoulos
Roland Renner
Spela Brglez
Thomas Limbacher
Enrique Pinero
Alejandro Linares Barranco
A. Pantazi
Robert Legenstein
ArXivPDFHTML

Papers citing "Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing"

1 / 1 papers shown
Title
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
1