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
Efficient Global Neural Architecture Search Shahid Siddiqui C. Kyrkou T. Theocharides 62 0 0 05 Feb 2025
Knowledge Fusion By Evolving Weights of Language Models Guodong Du Jing Li Hanting Liu Runhua Jiang Shuyang Yu Yifei Guo S. Goh Ho-Kin Tang MoMe 49 8 0 18 Jun 2024
ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers Michal Pinos Lukás Sekanina Vojtěch Mrázek MQ 39 2 0 08 Apr 2024
Robust NAS under adversarial training: benchmark, theory, and beyond Yongtao Wu Fanghui Liu Carl-Johann Simon-Gabriel Grigorios G. Chrysos V. Cevher AAML OOD 35 3 0 19 Mar 2024
Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation Mohammadamin Moradi Zheng-Meng Zhai Aaron Nielsen Ying-Cheng Lai 33 8 0 21 Feb 2024
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure Yanjie Li Weijun Li Lina Yu Min Wu Jinyi Liu ... Xin Ning Yugui Zhang Baoli Lu Jian Xu Shuang Li 28 0 0 03 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines Xiaoyu Zhang Juan Zhai Shiqing Ma Chao Shen 31 1 0 31 Dec 2023
XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks Trevor Londt Xiaoying Gao Peter M. Andreae Yi Mei 15 1 0 12 Dec 2023
AutoML for Large Capacity Modeling of Meta's Ranking Systems Hang Yin Kuang-Hung Liu Mengying Sun Yuxin Chen Buyun Zhang ... Huayu Li Zhengxing Chen Wen-Yen Chen Jiyan Yang Wei Wen OffRL 29 2 0 14 Nov 2023
A Survey on Multi-Objective Neural Architecture Search Seyed Mahdi Shariatzadeh M. Fathy R. Berangi M. Shahverdy 33 1 0 18 Jul 2023
Continuous Cartesian Genetic Programming based representation for Multi-Objective Neural Architecture Search Cosijopii Garcia-Garcia A. Morales-Reyes Hugo Jair Escalante 9 4 0 05 Jun 2023
A Survey on Multi-Objective based Parameter Optimization for Deep Learning Mrittika Chakraborty Wreetbhas Pal S. Bandyopadhyay U. Maulik 20 4 0 17 May 2023
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems Yeshwanth Venkatesha Youngeun Kim Hyoungseob Park Priyadarshini Panda FedML 21 4 0 11 May 2023
GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model Caiyang Yu Xianggen Liu Wentao Feng Yun Liu Wentao Feng Deng Xiong Chenwei Tang Jiancheng Lv 29 1 0 09 May 2023
Evolution under Length Constraints for CNN Architecture design Ousmane Youme J. Dembele E. C. Ezin C. Cambier 3DV 36 1 0 05 May 2023
Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies Wonhyeok Choi Sunghoon Im 8 7 0 13 Mar 2023
A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network An Chen Zhigang Ren Muyi Wang Hui Chen Haoxi Leng Shuai Liu 28 2 0 25 Feb 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 36 130 0 20 Jan 2023
DQNAS: Neural Architecture Search using Reinforcement Learning Anshumaan Chauhan S. Bhattacharyya S. Vadivel OOD 24 3 0 17 Jan 2023
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Saizhuo Wang L. Ni H. Shum AIFin 24 8 0 13 Dec 2022
Single Cell Training on Architecture Search for Image Denoising Bokyeung Lee Kyungdeuk Ko Jonghwan Hong Hanseok Ko 31 1 0 13 Dec 2022
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks Bin Wang Bing Xue Mengjie Zhang 18 0 0 07 Dec 2022
MEESO: A Multi-objective End-to-End Self-Optimized Approach for Automatically Building Deep Learning Models Thanh-Phuong Pham 17 0 0 20 Nov 2022
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends Ying Bi Bing Xue Pablo Mesejo S. Cagnoni Mengjie Zhang 97 43 0 14 Sep 2022
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images Sergio Altares-López J. J. García-Ripoll Ángela Ribeiro 37 15 0 28 Aug 2022
ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach Tong Zhou Shaolei Ren Xiaolin Xu AAML 32 13 0 17 Aug 2022
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment Zhichao Lu Ran Cheng Yaochu Jin Kay Chen Tan Kalyanmoy Deb 27 53 0 08 Aug 2022
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling Yuhei Noda Shota Saito Shinichi Shirakawa 28 1 0 21 Jul 2022
Adversarial Robustness Assessment of NeuroEvolution Approaches Inês Valentim Nuno Lourenço Nuno Antunes AAML 34 1 0 12 Jul 2022
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions Samira Vafay Eslahi Jian Tao J. Ji 18 1 0 15 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 40 41 0 03 Jun 2022
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate N. H. Phong A. Santos B. Ribeiro 27 8 0 20 May 2022
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search Yameng Peng A. Song V. Ciesielski Haytham M. Fayek Xiaojun Chang 29 14 0 27 Apr 2022
Novelty Driven Evolutionary Neural Architecture Search Nilotpal Sinha Kuan-Wen Chen 16 8 0 01 Apr 2022
Less is More: Proxy Datasets in NAS approaches Brian B. Moser Federico Raue Jörn Hees Andreas Dengel DD 24 6 0 14 Mar 2022
Neural Architecture Search using Progressive Evolution Nilotpal Sinha Kuan-Wen Chen 19 6 0 03 Mar 2022
HDAM: Heuristic Difference Attention Module for Convolutional Neural Networks Yu Xue Zi-Wei Yuan 17 0 0 19 Feb 2022
Manas: Mining Software Repositories to Assist AutoML Giang Nguyen Johir Islam Rangeet Pan Hridesh Rajan 51 15 0 06 Dec 2021
ConAM: Confidence Attention Module for Convolutional Neural Networks Yu Xue Ziming Yuan Ferrante Neri 24 1 0 27 Oct 2021
Evolving Transferable Neural Pruning Functions Yuchen Liu S. Kung D. Wentzlaff 24 1 0 21 Oct 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters Yoichi Hirose Nozomu Yoshinari Shinichi Shirakawa 25 13 0 19 Oct 2021
Search For Deep Graph Neural Networks Guosheng Feng Chunnan Wang Hongzhi Wang GNN 32 23 0 21 Sep 2021
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability K. Operiano W. Pora H. Iba Hiroshi Kera AAML 39 1 0 13 Sep 2021
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization Huiqun Wang Ruijie Yang Di Huang Yunhong Wang 16 27 0 25 Aug 2021
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search Xiangning Xie Yuqiao Liu Yanan Sun Gary G. Yen Bing Xue Mengjie Zhang 63 16 0 09 Aug 2021
Experiments on Properties of Hidden Structures of Sparse Neural Networks Julian Stier Harsh Darji Michael Granitzer 19 2 0 27 Jul 2021
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy Nilotpal Sinha Kuan-Wen Chen 18 5 0 15 Jul 2021
Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN Ziwei Wang Martin A. Trefzer S. Bale Andy M. Tyrrell 15 0 0 28 Jun 2021
HALF: Holistic Auto Machine Learning for FPGAs Jonas Ney D. Loroch Vladimir Rybalkin Nicolas Weber Jens Krüger Norbert Wehn 21 10 0 28 Jun 2021
Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures Renlong Jie Junbin Gao 32 0 0 14 Jun 2021