Random Search and Reproducibility for Neural Architecture Search

20 February 2019

Papers citing "Random Search and Reproducibility for Neural Architecture Search"

50 / 120 papers shown

Title
FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Xuan Rao Bo Zhao Derong Liu Cesare Alippi 44 0 0 25 Apr 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu DiffM 51 0 0 24 Apr 2025
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection Tomomasa Yamasaki Zhehui Wang Tao Luo Niangjun Chen Bo Wang 32 0 0 26 Mar 2025
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 20 2 0 08 Nov 2024
MoRe Fine-Tuning with 10x Fewer Parameters Wenxuan Tan Nicholas Roberts Tzu-Heng Huang Jitian Zhao John Cooper Samuel Guo Chengyu Duan Frederic Sala 26 0 0 30 Aug 2024
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS Afzal Ahmad Linfeng Du Zhiyao Xie Wei Zhang 18 0 0 09 Apr 2024
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks Reinhard Booysen Anna Sergeevna Bosman 40 1 0 17 Mar 2024
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search Hongyuan Yu Cheng Wan Mengchen Liu Dongdong Chen Bin Xiao Xiyang Dai Yan Huang Yuan Lu Liang Wang 71 5 0 15 Mar 2024
Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He Yao Shu Zhongxiang Dai K. H. Low 32 1 0 12 Mar 2024
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 40 1 0 28 Feb 2024
Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization Fanfei Meng Chen-Ao Wang Alexander Brown 11 1 0 11 Feb 2024
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint Ael Quélennec Enzo Tartaglione Pavlo Mozharovskyi Van-Tam Nguyen 26 2 0 08 Dec 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 30 0 0 30 Aug 2023
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search A. Chebykin A. Dushatskiy T. Alderliesten Peter A. N. Bosman 31 0 0 28 Jul 2023
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture Mehraveh Javan Matthew Toews M. Pedersoli 31 1 0 21 Jun 2023
Rethink DARTS Search Space and Renovate a New Benchmark Jiuling Zhang Zhiming Ding 33 1 0 12 Jun 2023
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 30 36 0 03 Mar 2023
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search Guangliang Cheng Peng Sun Ting-Bing Xu Shuchang Lyu Peiwen Lin 18 1 0 16 Feb 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients Guihong Li Yuedong Yang Kartikeya Bhardwaj R. Marculescu 36 60 0 26 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 41 121 0 17 Jan 2023
OVO: One-shot Vision Transformer Search with Online distillation Zimian Wei H. Pan Xin-Yi Niu Dongsheng Li ViT 29 1 0 28 Dec 2022
A Study on the Intersection of GPU Utilization and CNN Inference J. Kosaian Amar Phanishayee 15 3 0 15 Dec 2022
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models Shujian Zhang Chengyue Gong Xingchao Liu RALM 37 6 0 02 Nov 2022
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds Chenxi Liu Zhaoqi Leng Peigen Sun Shuyang Cheng C. Qi Yin Zhou Mingxing Tan Drago Anguelov 3DPC 3DV 37 5 0 10 Oct 2022
Searching a High-Performance Feature Extractor for Text Recognition Network Hui Zhang Quanming Yao James T. Kwok X. Bai 28 7 0 27 Sep 2022
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control Pierrick Pochelu S. Petiton B. Conche AI4CE 23 2 0 30 Aug 2022
SONAR: Joint Architecture and System Optimization Search Elias Jääsaari Michelle Ma Ameet Talwalkar Tianqi Chen 36 1 0 25 Aug 2022
DC-BENCH: Dataset Condensation Benchmark Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 31 72 0 20 Jul 2022
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism Xiangning Xie Yuqiao Liu Yanan Sun Mengjie Zhang Kay Chen Tan GNN AI4CE 17 2 0 03 Jul 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Eric Wang Zeyang Zhang Wenwu Zhu 24 26 0 18 Jun 2022
Neural Architecture Search using Property Guided Synthesis Charles Jin P. Phothilimthana Sudip Roy 27 6 0 08 May 2022
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search Yameng Peng A. Song V. Ciesielski Haytham M. Fayek Xiaojun Chang 21 14 0 27 Apr 2022
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search Guocheng Qian Xuanyang Zhang G. Li Chen Zhao Yukang Chen X. Zhang Bernard Ghanem Jian-jun Sun 37 4 0 11 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 23 6 0 04 Apr 2022
Novelty Driven Evolutionary Neural Architecture Search Nilotpal Sinha Kuan-Wen Chen 11 8 0 01 Apr 2022
Generalizing Few-Shot NAS with Gradient Matching Shou-Yong Hu Ruochen Wang Lanqing Hong Zhenguo Li Cho-Jui Hsieh Jiashi Feng 23 23 0 29 Mar 2022
Learning Where To Look -- Generative NAS is Surprisingly Efficient Jovita Lukasik Steffen Jung M. Keuper 21 15 0 16 Mar 2022
Towards Less Constrained Macro-Neural Architecture Search Vasco Lopes L. A. Alexandre 28 5 0 10 Mar 2022
Neural Architecture Search using Progressive Evolution Nilotpal Sinha Kuan-Wen Chen 19 6 0 03 Mar 2022
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification Youngkee Kim Won Joon Yun Youn Kyu Lee Soyi Jung Joongheon Kim 18 5 0 17 Feb 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision T. Elsken Arber Zela J. H. Metzen B. Staffler Thomas Brox Abhinav Valada Frank Hutter OOD 33 17 0 15 Feb 2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search Hyunghun Cho Jungwook Shin Wonjong Rhee 25 7 0 07 Feb 2022
UDC: Unified DNAS for Compressible TinyML Models Igor Fedorov Ramon Matas Hokchhay Tann Chu Zhou Matthew Mattina P. Whatmough AI4CE 21 13 0 15 Jan 2022
Multi-Dimensional Model Compression of Vision Transformer Zejiang Hou S. Kung ViT 20 16 0 31 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Guided Evolution for Neural Architecture Search Vasco Lopes Miguel Santos Bruno Degardin Luís A. Alexandre 22 9 0 28 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 43 7 0 16 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 21 35 0 07 Oct 2021
Delve into the Performance Degradation of Differentiable Architecture Search Jiuling Zhang Zhiming Ding 33 1 0 28 Sep 2021
$L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning$ L $^{2}$ NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning Keith G. Mills Fred X. Han Mohammad Salameh Seyed Saeed Changiz Rezaei Linglong Kong Wei Lu Shuo Lian Shangling Jui Di Niu 19 10 0 25 Sep 2021