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. 1811.12065
  4. Cited By
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural
  Networks

TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks

29 November 2018
Lile Cai
Anne-Maelle Barneche
Arthur Herbout
Chuan-Sheng Foo
Jie Lin
V. Chandrasekhar
M. Sabry
ArXivPDFHTML

Papers citing "TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks"

3 / 3 papers shown
Title
LENS: Layer Distribution Enabled Neural Architecture Search in
  Edge-Cloud Hierarchies
LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies
Mohanad Odema
Nafiul Rashid
B. U. Demirel
Mohammad Abdullah Al Faruque
28
10
0
20 Jul 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane
Kaoutar El Maghraoui
Hamza Ouarnoughi
Smail Niar
Martin Wistuba
Naigang Wang
34
96
0
22 Jan 2021
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,330
0
05 Nov 2016
1