From Nodes to Networks: Evolving Recurrent Neural Networks

v1v2 (latest)

From Nodes to Networks: Evolving Recurrent Neural Networks

12 March 2018

Risto Miikkulainen

ArXiv (abs)PDF HTML

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

18 / 18 papers shown

Title
A Bandit Approach with Evolutionary Operators for Model Selection Margaux Brégere Lpsm Julie Keisler 131 1 0 07 Feb 2024
Strategies and impact of learning curve estimation for CNN-based image classification Laura Didyk Brayden Yarish Michael A. Beck C. Bidinosti Christopher J. Henry 81 0 0 12 Oct 2023
Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining Zhiying Jiang Risheng Liu Shuzhou Yang Zengxi Zhang Xin-Yue Fan 82 4 0 29 May 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey Xiangning Xie Xiaotian Song Zeqiong Lv Gary G. Yen Weiping Ding Yizhou Sun 187 19 0 14 Jan 2023
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues Nan Li Lianbo Ma Guo-Ding Yu Bing Xue Mengjie Zhang Yaochu Jin 105 87 0 23 Aug 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 173 50 0 03 Jun 2022
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost A. Khalili A. Bouchachia 189 0 0 12 Feb 2022
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li Weiming Dong Jianbo Shi 180 18 0 30 Aug 2021
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis R. Acharya F. Ganji Domenic Forte AAML 242 28 0 30 Apr 2021
Network Architecture Search for Domain Adaptation Yichen Li Xingchao Peng OOD 115 15 0 13 Aug 2020
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 180 30 0 09 Aug 2020
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 175 116 0 04 Aug 2020
ModuleNet: Knowledge-inherited Neural Architecture Search Yaran Chen Ruiyuan Gao Fenggang Liu Dongbin Zhao KELM 97 31 0 10 Apr 2020
Finding online neural update rules by learning to remember Karol Gregor CLL 99 6 0 06 Mar 2020
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution Travis J. Desell A. ElSaid Alexander Ororbia 122 1 0 20 Sep 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research Dali Wang Romain Egele Misha Salim Stefan M. Wild V. Vishwanath Fangfang Xia Thomas Brettin Rick L. Stevens 99 56 0 01 Sep 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 209 124 0 27 May 2019
Investigating Recurrent Neural Network Memory Structures using Neuro-EvolutionAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2025 Alexander Ororbia A. ElSaid Travis J. Desell 126 55 0 06 Feb 2019