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. 2008.13187
  4. Cited By
A Novel Training Protocol for Performance Predictors of Evolutionary
  Neural Architecture Search Algorithms

A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms

30 August 2020
Yizhou Sun
Xian Sun
Yuhan Fang
Gary G. Yen
ArXivPDFHTML

Papers citing "A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms"

12 / 12 papers shown
Title
Evolution and Efficiency in Neural Architecture Search: Bridging the Gap
  Between Expert Design and Automated Optimization
Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization
Fanfei Meng
Chen-Ao Wang
Alexander Brown
11
1
0
11 Feb 2024
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiangning Xie
Xiaotian Song
Zeqiong Lv
Gary G. Yen
Weiping Ding
Yizhou Sun
38
12
0
14 Jan 2023
Surrogate-assisted Multi-objective Neural Architecture Search for
  Real-time Semantic Segmentation
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation
Zhichao Lu
Ran Cheng
Shihua Huang
Haotong Zhang
Changxiao Qiu
Fan Yang
SSeg
22
22
0
14 Aug 2022
A Survey on Computationally Efficient Neural Architecture Search
A Survey on Computationally Efficient Neural Architecture Search
Shiqing Liu
Haoyu Zhang
Yaochu Jin
40
41
0
03 Jun 2022
Automating Neural Architecture Design without Search
Automating Neural Architecture Design without Search
Zixuan Liang
Yanan Sun
3DV
23
0
0
21 Apr 2022
Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural
  Architecture Search
Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search
Lianbo Ma
Nan Li
Guo-Ding Yu
Xiao Geng
Min Huang
Xingwei Wang
33
53
0
14 Sep 2021
How Powerful are Performance Predictors in Neural Architecture Search?
How Powerful are Performance Predictors in Neural Architecture Search?
Colin White
Arber Zela
Binxin Ru
Yang Liu
Frank Hutter
22
126
0
02 Apr 2021
Fisher Task Distance and Its Application in Neural Architecture Search
Fisher Task Distance and Its Application in Neural Architecture Search
Cat P. Le
Mohammadreza Soltani
Juncheng Dong
Vahid Tarokh
FedML
30
8
0
23 Mar 2021
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical
  Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and
  Challenges
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Aritz D. Martinez
Javier Del Ser
Esther Villar-Rodriguez
E. Osaba
Javier Poyatos
Siham Tabik
Daniel Molina
Francisco Herrera
35
26
0
09 Aug 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural
  Architecture Search
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela
Julien N. Siems
Frank Hutter
88
147
0
28 Jan 2020
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
131
499
0
24 Apr 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,331
0
05 Nov 2016
1