A Genetic Programming Approach to Designing Convolutional Neural Network Architectures

3 April 2017

Papers citing "A Genetic Programming Approach to Designing Convolutional Neural Network Architectures"

50 / 166 papers shown

Title
ImmuNeCS: Neural Committee Search by an Artificial Immune System L. Frachon Wei Pang George Macleod Coghill 13 9 0 18 Nov 2019
Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution Filip Badáň Lukás Sekanina 17 4 0 15 Oct 2019
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification B. Evans Harith Al-Sahaf Bing Xue Mengjie Zhang VLM 11 4 0 28 Sep 2019
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution Travis J. Desell A. ElSaid Alexander Ororbia 18 1 0 20 Sep 2019
Genetic Neural Architecture Search for automatic assessment of human sperm images Erfan Miahi Seyed Abolghasem Mirroshandel Alexis Nasr 19 29 0 20 Sep 2019
Attention Based Neural Architecture for Rumor Detection with Author Context Awareness Sansiri Tarnpradab K. Hua 27 5 0 19 Sep 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research Prasanna Balaprakash Romain Egele Misha Salim Stefan M. Wild V. Vishwanath Fangfang Xia Thomas Brettin Rick L. Stevens 33 53 0 01 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 48 1,423 0 02 Aug 2019
Evolutionary Dataset Optimisation: learning algorithm quality through evolution Henry Wilde Vincent A. Knight J. Gillard 19 9 0 31 Jul 2019
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks Bin Wang Bing Xue Mengjie Zhang 27 50 0 29 Jul 2019
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation Maria G. Baldeon Calisto S. Lai-Yuen 38 15 0 26 Jul 2019
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures Shota Saito Shinichi Shirakawa 13 3 0 15 Jul 2019
Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression Marcus Märtens Dario Izzo 18 9 0 03 Jul 2019
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search Dounia Lakhmiri Sébastien Le Digabel C. Tribes 3DH 23 23 0 03 Jul 2019
A Study of the Learning Progress in Neural Architecture Search Techniques Prabhant Singh Tobias Jacobs S. Nicolas Mischa Schmidt 3DV 19 11 0 18 Jun 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search Youhei Akimoto Shinichi Shirakawa Nozomu Yoshinari Kento Uchida Shota Saito K. Nishida 27 86 0 21 May 2019
DeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence Edvinas Byla Wei Pang 11 42 0 17 May 2019
Automatic Model Selection for Neural Networks David Laredo Yulin Qin O. Schütze Jianqiao Sun BDL 24 16 0 15 May 2019
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection Filipe Assunção João Correia R. Conceição M. Pimenta B. Tomé Nuno Lourenço Penousal Machado 12 18 0 09 May 2019
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks Filipe Assunção Nuno Lourenço Penousal Machado B. Ribeiro ODL 19 6 0 08 May 2019
Differentiable Architecture Search with Ensemble Gumbel-Softmax Jianlong Chang Xinbang Zhang Yiwen Guo Gaofeng Meng Shiming Xiang Chunhong Pan 3DPC 30 18 0 06 May 2019
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 17 258 0 04 May 2019
Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation Xin Chen Lingxi Xie Jun Wu Qi Tian AI4TS MQ 21 659 0 29 Apr 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 11 36 0 16 Apr 2019
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search Linnan Wang Yiyang Zhao Yuu Jinnai Yuandong Tian Rodrigo Fonseca BDL 25 95 0 26 Mar 2019
Towards automatic construction of multi-network models for heterogeneous multi-task learning Unai Garciarena A. Mendiburu Roberto Santana 34 3 0 21 Mar 2019
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks Bin Wang Yizhou Sun Bing Xue Mengjie Zhang 27 30 0 10 Mar 2019
Inductive Transfer for Neural Architecture Optimization Martin Wistuba Tejaswini Pedapati 12 9 0 08 Mar 2019
Evolutionary Neural AutoML for Deep Learning J. Liang Elliot Meyerson B. Hodjat Daniel Fink Karl Mutch Risto Miikkulainen 20 105 0 18 Feb 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou Feng Guo Lantao Liu Minje Kim Lei Jiang MQ 27 97 0 15 Feb 2019
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution Alexander Ororbia A. ElSaid Travis J. Desell 27 54 0 06 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 72 2,273 0 17 Jan 2019
Evolutionary Construction of Convolutional Neural Networks Marijn van Knippenberg Vlado Menkovski Sergio Consoli 3DV 18 2 0 02 Jan 2019
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization Miao Zhang Huiqi Li Juan Lyu S. Ling Steven W. Su AI4CE 22 11 0 02 Jan 2019
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search Yesmina Jaâfra J. Laurent A. Deruyver M. Naceur OOD 13 14 0 17 Dec 2018
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming Yiheng Zhu Yichen Yao Zili Wu Yujie Chen Guozheng Li Haoyuan Hu Yinghui Xu 41 5 0 26 Nov 2018
Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization Travis J. Desell 12 9 0 17 Nov 2018
Automatically Evolving CNN Architectures Based on Blocks Yizhou Sun Bing Xue Mengjie Zhang Gary G. Yen 3DV 27 27 0 28 Oct 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui Wei Zhang Zoltán Tüske M. Picheny ODL 16 89 0 16 Oct 2018
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network K. Nishida H. Aguirre Shota Saito Shinichi Shirakawa Youhei Akimoto 18 1 0 18 Sep 2018
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification Bin Wang Yizhou Sun Bing Xue Mengjie Zhang 19 55 0 20 Aug 2018
BlockQNN: Efficient Block-wise Neural Network Architecture Generation Zhaobai Zhong Zichen Yang Boyang Deng Junjie Yan Wei Wu Jing Shao Cheng-Lin Liu 14 113 0 16 Aug 2018
Automatically designing CNN architectures using genetic algorithm for image classification Yizhou Sun Bing Xue Mengjie Zhang Gary G. Yen 3DV 32 603 0 11 Aug 2018
On Optimizing Deep Convolutional Neural Networks by Evolutionary Computing M. Dias D. D. N. D. Silva Subha Fernando ODL 19 3 0 06 Aug 2018
The Quest for the Golden Activation Function Mina Basirat P. Roth 19 53 0 02 Aug 2018
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification Benteng Ma Yong-quan Xia 25 99 0 01 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 40 795 0 27 Jun 2018
Lamarckian Evolution of Convolutional Neural Networks J. Prellberg Oliver Kramer ODL 14 17 0 21 Jun 2018
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching from Scratch Jian Ren Zhe Li Jianchao Yang N. Xu Tianbao Yang D. Foran 35 17 0 05 Jun 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 499 0 24 Apr 2018