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From Nodes to Networks: Evolving Recurrent Neural Networks
v1v2 (latest)

From Nodes to Networks: Evolving Recurrent Neural Networks

12 March 2018
Aditya Rawal
Risto Miikkulainen
ArXiv (abs)PDFHTML

Papers citing "From Nodes to Networks: Evolving Recurrent Neural Networks"

18 / 18 papers shown
A Bandit Approach with Evolutionary Operators for Model Selection
A Bandit Approach with Evolutionary Operators for Model Selection
Margaux Brégere Lpsm
Julie Keisler
265
1
0
07 Feb 2024
Strategies and impact of learning curve estimation for CNN-based image
  classification
Strategies and impact of learning curve estimation for CNN-based image classification
Laura Didyk
Brayden Yarish
Michael A. Beck
C. Bidinosti
Christopher J. Henry
256
0
0
12 Oct 2023
Contrastive Learning Based Recursive Dynamic Multi-Scale Network for
  Image Deraining
Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining
Zhiying Jiang
Risheng Liu
Shuzhou Yang
Zengxi Zhang
Xin-Yue Fan
248
5
0
29 May 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Efficient Evaluation Methods for Neural Architecture Search: A SurveyIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Xiangning Xie
Xiaotian Song
Zeqiong Lv
Gary G. Yen
Weiping Ding
Yizhou Sun
317
32
0
14 Jan 2023
Survey on Evolutionary Deep Learning: Principles, Algorithms,
  Applications and Open Issues
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open IssuesACM Computing Surveys (ACM CSUR), 2022
Nan Li
Lianbo Ma
Guo-Ding Yu
Bing Xue
Mengjie Zhang
Yaochu Jin
232
107
0
23 Aug 2022
A Survey on Computationally Efficient Neural Architecture Search
A Survey on Computationally Efficient Neural Architecture Search
Shiqing Liu
Haoyu Zhang
Yaochu Jin
434
57
0
03 Jun 2022
Evolving Neural Networks with Optimal Balance between Information Flow
  and Connections Cost
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost
A. Khalili
A. Bouchachia
403
0
0
12 Feb 2022
Efficient Visual Recognition with Deep Neural Networks: A Survey on
  Recent Advances and New Directions
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New DirectionsMachine Intelligence Research (MIR), 2021
Yang Wu
Dingheng Wang
Xiaotong Lu
Fan Yang
Guoqi Li
Weiming Dong
Jianbo Shi
421
19
0
30 Aug 2021
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting
  Topologies for Side-channel Analysis
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis
R. Acharya
F. Ganji
Domenic Forte
AAML
707
33
0
30 Apr 2021
Network Architecture Search for Domain Adaptation
Network Architecture Search for Domain Adaptation
Yichen Li
Xingchao Peng
OOD
206
15
0
13 Aug 2020
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 ChallengesInformation Fusion (Inf. Fusion), 2020
Aritz D. Martinez
Javier Del Ser
Esther Villar-Rodriguez
E. Osaba
Javier Poyatos
Siham Tabik
Daniel Molina
Francisco Herrera
390
31
0
09 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
482
122
0
04 Aug 2020
ModuleNet: Knowledge-inherited Neural Architecture Search
ModuleNet: Knowledge-inherited Neural Architecture SearchIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2020
Yaran Chen
Ruiyuan Gao
Fenggang Liu
Dongbin Zhao
KELM
230
35
0
10 Apr 2020
Finding online neural update rules by learning to remember
Finding online neural update rules by learning to remember
Karol Gregor
CLL
195
6
0
06 Mar 2020
An Empirical Exploration of Deep Recurrent Connections and Memory Cells
  Using Neuro-Evolution
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution
Travis J. Desell
A. ElSaid
Alexander Ororbia
228
1
0
20 Sep 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for
  Cancer Deep Learning Research
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning ResearchInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2019
Dali Wang
Romain Egele
Misha Salim
Stefan M. Wild
V. Vishwanath
Fangfang Xia
Thomas Brettin
Rick L. Stevens
240
60
0
01 Sep 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing
  general artificial intelligence
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
464
139
0
27 May 2019
Investigating Recurrent Neural Network Memory Structures using
  Neuro-Evolution
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
Alexander Ororbia
A. ElSaid
Travis J. Desell
315
60
0
06 Feb 2019
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