Evolving Deep Neural Networks

1 March 2017

Papers citing "Evolving Deep Neural Networks"

50 / 105 papers shown

Title
Big Data and the Computational Social Science of Entrepreneurship and Innovation Ningzi Li Shiyang Lai James Evans AILaw 29 0 0 13 May 2025
ChainMarks: Securing DNN Watermark with Cryptographic Chain Brian Choi Shu Wang Isabelle Choi Kun Sun 46 0 0 08 May 2025
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory Canlin Zhang Xiuwen Liu 45 0 0 01 Apr 2025
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization Qiyi Wang Yinning Shao Yunlong Ma Min Liu OOD 77 0 0 04 Mar 2025
Predicting Fairness of ML Software Configurations Salvador Robles Herrera Verya Monjezi V. Kreinovich Ashutosh Trivedi Saeid Tizpaz-Niari 29 1 0 29 Apr 2024
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration Lishuang Wang Mengfei Zhao Enyu Liu Kebin Sun Ran Cheng 21 3 0 02 Apr 2024
Optimizing Neural Networks with Gradient Lexicase Selection Lijie Ding Lee Spector 42 20 0 19 Dec 2023
Asynchronous Evolution of Deep Neural Network Architectures J. Liang H. Shahrzad Risto Miikkulainen 28 0 0 08 Aug 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 30 3 0 25 May 2023
Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer Yongquan Yang Jie Chen Yani Wei Mohammad H. Alobaidi Hong Bu NoLa 45 1 0 13 Apr 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera 37 10 0 20 Feb 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 42 2 0 26 Jan 2023
Novel Deep Learning Framework For Bovine Iris Segmentation Heemoon Yoon Mira Park Sang-Hee Lee 22 0 0 22 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
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 36 3 0 28 Nov 2022
Designing with Non-Finite Output Dimension via Fourier Coefficients of Neural Waveforms Jonathan S. Kent 25 0 0 17 Aug 2022
Evolution of Activation Functions for Deep Learning-Based Image Classification Raz Lapid Moshe Sipper 27 11 0 24 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 38 41 0 03 Jun 2022
Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification Anish Thite Mohan Dodda Pulak Agarwal Jason Zutty 38 3 0 25 May 2022
Evolving Neural Selection with Adaptive Regularization Li Ding Lee Spector ODL 25 4 0 04 Apr 2022
Generalizing Few-Shot NAS with Gradient Matching Shou-Yong Hu Ruochen Wang Lanqing Hong Zhenguo Li Cho-Jui Hsieh Jiashi Feng 25 23 0 29 Mar 2022
Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey Alzayat Saleh M. Sheaves M. R. Azghadi 34 71 0 14 Mar 2022
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings) Elliot Meyerson Xin Qiu Risto Miikkulainen 27 4 0 19 Feb 2022
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost A. Khalili A. Bouchachia 17 0 0 12 Feb 2022
A Data-driven Approach to Neural Architecture Search Initialization Kalifou René Traoré Andrés Camero Xiao Xiang Zhu 29 3 0 05 Nov 2021
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding T. Nathan Mundhenk Mikel Landajuela Ruben Glatt Claudio Santiago Daniel Faissol Brenden K. Petersen 38 85 0 29 Oct 2021
An Analysis of Super-Net Heuristics in Weight-Sharing NAS Kaicheng Yu René Ranftl Mathieu Salzmann 42 6 0 04 Oct 2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks G. Bingham Risto Miikkulainen ODL 24 4 0 18 Sep 2021
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving Ruochen Wang Xiangning Chen Minhao Cheng Xiaocheng Tang Cho-Jui Hsieh 41 13 0 18 Aug 2021
Memory-Efficient Differentiable Transformer Architecture Search Yuekai Zhao Li Dong Yelong Shen Zhihua Zhang Furu Wei Weizhu Chen ViT 32 17 0 31 May 2021
EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia Pawel Renc Patryk Orzechowski A. Byrski Jarosław Wąs J. Moore 24 4 0 03 May 2021
Visionary: Vision architecture discovery for robot learning Iretiayo Akinola A. Angelova Yao Lu Yevgen Chebotar Dmitry Kalashnikov Jacob Varley Julian Ibarz Michael S. Ryoo 24 10 0 26 Mar 2021
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games Stratis Skoulakis Tanner Fiez Ryan Sim Georgios Piliouras Lillian J. Ratliff 18 13 0 15 Dec 2020
Continuous Ant-Based Neural Topology Search A. ElSaid Joshua Karns Zimeng Lyu Alexander Ororbia Travis J. Desell 11 3 0 21 Nov 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 53 609 0 10 Sep 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
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Xia Hu 21 90 0 26 Jun 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges E. Galván P. Mooney 27 129 0 09 Jun 2020
An Introduction to Neural Architecture Search for Convolutional Networks George Kyriakides K. Margaritis AI4CE 30 27 0 22 May 2020
A Semi-Supervised Assessor of Neural Architectures Yehui Tang Yunhe Wang Yixing Xu Hanting Chen Chunjing Xu Boxin Shi Chao Xu Qi Tian Chang Xu 16 67 0 14 May 2020
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Maryam Parsa Catherine D. Schuman Prasanna Date Derek C. Rose Bill Kay ... Steven R. Young Ryan Dellana William M. Severa T. Potok Kaushik Roy 21 4 0 21 Apr 2020
Distributed Evolution of Deep Autoencoders Jeff Hajewski Suely Oliveira Xiaoyu Xing 14 5 0 16 Apr 2020
Weighted Random Search for CNN Hyperparameter Optimization Razvan Andonie A. Florea 30 55 0 30 Mar 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection Jianyuan Guo Kai Han Yunhe Wang Chao Zhang Zhaohui Yang Hanxue Wu Xinghao Chen Chang Xu 22 99 0 26 Mar 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS Kaicheng Yu René Ranftl Mathieu Salzmann 27 34 0 09 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
NAS-Count: Counting-by-Density with Neural Architecture Search Yutao Hu Xiaolong Jiang Xuhui Liu Baochang Zhang Jungong Han Xianbin Cao David Doermann 38 89 0 29 Feb 2020
Deeper Insights into Weight Sharing in Neural Architecture Search Yuge Zhang Zejun Lin Junyan Jiang Quanlu Zhang Yujing Wang Hui Xue Chen Zhang Yaming Yang 35 48 0 06 Jan 2020
Meta-Learning of Neural Architectures for Few-Shot Learning T. Elsken B. Staffler J. H. Metzen Frank Hutter 20 136 0 25 Nov 2019
ReNAS:Relativistic Evaluation of Neural Architecture Search Yixing Xu Yunhe Wang Avishkar Bhoopchand Christopher Mattern A. Grabska-Barwinska Chunjing Xu Chang Xu 27 82 0 30 Sep 2019