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
Graph-based Neural Architecture Search with Operation Embeddings Michail Chatzianastasis George Dasoulas Georgios Siolas Michalis Vazirgiannis AI4CE 25 10 0 11 May 2021
Epigenetic evolution of deep convolutional models Alexander Hadjiivanov Alan Blair 17 1 0 12 Apr 2021
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking Minghao Chen Houwen Peng Jianlong Fu Haibin Ling 26 19 0 01 Apr 2021
Evolving Learning Rate Optimizers for Deep Neural Networks P. Carvalho Nuno Lourenço Penousal Machado ODL 11 5 0 23 Mar 2021
Enhanced Gradient for Differentiable Architecture Search Haichao Zhang K. Hao Lei Gao Xue-song Tang Bing Wei 22 6 0 23 Mar 2021
Trainless Model Performance Estimation for Neural Architecture Search Ekaterina Gracheva 13 3 0 10 Mar 2021
Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network Chen Li Jinzhe Jiang Yaqian Zhao Rengang Li Endong Wang Xin Zhang Kun Zhao 11 15 0 26 Feb 2021
A Novel Framework for Neural Architecture Search in the Hill Climbing Domain Mudit Verma Pradyumn Sinha Karan Goyal Apoorva Verma Seba Susan 21 7 0 22 Feb 2021
Neuroevolution in Deep Learning: The Role of Neutrality E. López 16 4 0 16 Feb 2021
Evolutionary Neural Architecture Search Supporting Approximate Multipliers Michal Pinos Vojtěch Mrázek Lukás Sekanina 16 10 0 28 Jan 2021
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks Yingfang Yuan Wenjun Wang George Macleod Coghill Wei Pang 21 15 0 22 Jan 2021
Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays Chirath Dasanayakaa M. B. Dissanayake LM&MA 4 40 0 25 Dec 2020
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning D. Kedziora Katarzyna Musial Bogdan Gabrys 30 16 0 23 Dec 2020
Evolutionary Variational Optimization of Generative Models Jakob Drefs E. Guiraud Jörg Lücke BDL DRL 18 7 0 22 Dec 2020
Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent Haichao Zhang K. Hao Lei Gao Bing Wei Xue-song Tang 21 12 0 21 Dec 2020
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs Thomas O'Leary-Roseberry Umberto Villa Peng Chen Omar Ghattas 52 70 0 30 Nov 2020
Qualities, challenges and future of genetic algorithms: a literature review A. Vié Alissa M. Kleinnijenhuis Doyne, J Farmer AI4CE 11 14 0 05 Nov 2020
Automated Concatenation of Embeddings for Structured Prediction Xinyu Wang Yong-jia Jiang Nguyen Bach Tao Wang Zhongqiang Huang Fei Huang Kewei Tu 35 172 0 10 Oct 2020
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters Isabelly Rocha Nathaniel Morris L. Chen Pascal Felber Robert Birke V. Schiavoni 16 10 0 01 Oct 2020
NAS-Navigator: Visual Steering for Explainable One-Shot Deep Neural Network Synthesis Anjul Tyagi C. Xie Klaus Mueller 15 6 0 28 Sep 2020
PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks Xueli Xiao Chunyan Ji Thosini Bamunu Mudiyanselage Yi Pan GNN SSL 16 3 0 24 Sep 2020
Evolutionary Architecture Search for Graph Neural Networks Min Shi David A. Wilson Xingquan Zhu Yu Huang Zhuang Yuan Jianxun Liu Yufei Tang AI4CE 37 22 0 21 Sep 2020
A Study of Genetic Algorithms for Hyperparameter Optimization of Neural Networks in Machine Translation Keshav Ganapathy 11 8 0 15 Sep 2020
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning Hao Tan Ran Cheng Shihua Huang Cheng He Changxiao Qiu Fan Yang Ping Luo OOD 14 40 0 14 Sep 2020
From Federated Learning to Federated Neural Architecture Search: A Survey Hangyu Zhu Haoyu Zhang Yaochu Jin FedML OOD AI4CE 14 148 0 12 Sep 2020
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms Yizhou Sun Xian Sun Yuhan Fang Gary G. Yen 13 41 0 30 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 35 26 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 45 108 0 04 Aug 2020
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification Bin Wang Bing Xue Mengjie Zhang 23 53 0 03 Jul 2020
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm Xueli Xiao Ming Yan S. Basodi Chunyan Ji Yi Pan 27 90 0 23 Jun 2020
Deep unfolding of the weighted MMSE beamforming algorithm Lissy Pellaco M. Bengtsson Joakim Jaldén 27 21 0 15 Jun 2020
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search Vu-Linh Nguyen Tam Le M. Yamada Michael A. Osborne AI4TS 26 37 0 13 Jun 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges E. Galván P. Mooney 29 129 0 09 Jun 2020
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference Qian Lou B. Song Lei Jiang 25 35 0 07 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 76 654 0 01 Jun 2020
Evolutionary NAS with Gene Expression Programming of Cellular Encoding Clifford Broni-Bediako Yuki Murata L. H. Mormille M. Atsumi 9 6 0 27 May 2020
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search Aditya Rawal Joel Lehman F. Such Jeff Clune Kenneth O. Stanley AI4CE 25 6 0 27 May 2020
Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach J. H. Alves L. F. Oliveira 14 5 0 15 May 2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment Javier Del Ser I. Laña Eric L. Manibardo I. Oregi E. Osaba J. Lobo Miren Nekane Bilbao E. Vlahogianni 30 16 0 17 Apr 2020
Incremental Evolution and Development of Deep Artificial Neural Networks Filipe Assunção Nuno Lourenço B. Ribeiro Penousal Machado 6 7 0 01 Apr 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search Chen Wei Chuang Niu Yiping Tang Yue Wang Haihong Hu Jimin Liang 30 7 0 28 Mar 2020
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation Xiong Zhang Hongmin Xu Hong Mo Jianchao Tan Cheng Yang Lei Wang Wenqi Ren AI4CE 29 91 0 26 Mar 2020
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search Haoyu Zhang Yaochu Jin Ran Cheng K. Hao 26 9 0 07 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 39 220 0 06 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search Hangyu Zhu Yaochu Jin FedML 147 71 0 04 Mar 2020
ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures Kefan Chen Wei Pang 17 2 0 28 Feb 2020
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation Zhun Fan Jiahong Wei Guijie Zhu Jiajie Mo Wenji Li 24 8 0 18 Jan 2020
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild Xin Chen Lingxi Xie Jun Wu Qi Tian 11 94 0 23 Dec 2019
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification Zhichao Lu Ian Whalen Yashesh D. Dhebar Kalyanmoy Deb E. Goodman W. Banzhaf Vishnu Boddeti 14 10 0 03 Dec 2019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks Minghao Guo Yuzhe Yang Rui Xu Ziwei Liu Dahua Lin AAML OOD 25 157 0 25 Nov 2019