NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

2 January 2020

Yi Yang

Papers citing "NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search"

50 / 131 papers shown

Title
GreenFactory: Ensembling Zero-Cost Proxies to Estimate Performance of Neural Networks Gabriel Cortes Nuno Lourenço Paolo Romano Penousal Machado UQCV FedML 32 0 0 14 May 2025
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection Filippo Betello Antonio Purificato Vittoria Vineis Gabriele Tolomei Fabrizio Silvestri 34 0 0 02 May 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu DiffM 51 0 0 24 Apr 2025
Transferrable Surrogates in Expressive Neural Architecture Search Spaces Shiwen Qin Gabriela Kadlecová Martin Pilát Shay B. Cohen Roman Neruda Elliot J. Crowley Jovita Lukasik Linus Ericsson AI4CE 86 0 0 17 Apr 2025
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank TingJie Zhang HaiLin Liu 38 1 0 01 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
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation P. Rumiantsev Mark Coates 48 0 0 27 Feb 2025
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li Viraj Shitole Eli Chien Changhai Man Zhaodong Wang Srinivas Sridharan Ying Zhang Tushar Krishna P. Li 37 0 0 04 Nov 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 38 1 0 09 Oct 2024
Dynamic Post-Hoc Neural Ensemblers Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka UQCV 36 0 0 06 Oct 2024
Combining Neural Architecture Search and Automatic Code Optimization: A Survey Inas Bachiri Hadjer Benmeziane Smail Niar Riyadh Baghdadi Hamza Ouarnoughi Abdelkrime Aries 40 0 0 07 Aug 2024
Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search An Vo Ngoc Hoang Luong 28 0 0 30 Jul 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 53 0 0 24 Jun 2024
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture Zhengxin Yang Wanling Gao Luzhou Peng Yunyou Huang Fei Tang Jianfeng Zhan 31 0 0 20 Jun 2024
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 32 7 0 10 Jun 2024
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS Afzal Ahmad Linfeng Du Zhiyao Xie Wei Zhang 18 0 0 09 Apr 2024
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search Ye Qiao Haocheng Xu Sitao Huang 19 0 0 30 Mar 2024
Anytime Neural Architecture Search on Tabular Data Naili Xing Shaofeng Cai Zhaojing Luo Bengchin Ooi Jian Pei 34 1 0 15 Mar 2024
Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He Yao Shu Zhongxiang Dai K. H. Low 29 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
Masked Autoencoders Are Robust Neural Architecture Search Learners Yiming Hu Xiangxiang Chu Bo-Wen Zhang OOD 37 0 0 20 Nov 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Steven Adriaensen Herilalaina Rakotoarison Samuel G. Müller Frank Hutter BDL 26 19 0 31 Oct 2023
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search Juan Zou Shenghong Wu Yizhang Xia Weiwei Jiang Zeping Wu Jinhua Zheng 3DV 18 0 0 14 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 37 59 0 29 Sep 2023
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks Kartikeya Bhardwaj Hsin-Pai Cheng Sweta Priyadarshi Zhuojing Li 19 1 0 26 Sep 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller M. Keuper 22 1 0 18 Jul 2023
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture Mehraveh Javan Matthew Toews M. Pedersoli 31 1 0 21 Jun 2023
Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization Jiuling Zhang Zhiming Ding AAML 18 3 0 12 Jun 2023
Rethink DARTS Search Space and Renovate a New Benchmark Jiuling Zhang Zhiming Ding 33 1 0 12 Jun 2023
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning Jungtaek Kim 32 1 0 24 May 2023
GeNAS: Neural Architecture Search with Better Generalization Joonhyun Jeong Joonsang Yu Geondo Park Dongyoon Han Y. Yoo 25 4 0 15 May 2023
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces Shuhei Watanabe Archit Bansal Frank Hutter 32 12 0 20 Apr 2023
Reparameterization through Spatial Gradient Scaling A. Detkov Mohammad Salameh Muhammad Fetrat Qharabagh Jialin Zhang Wei Lui Shangling Jui Di Niu 15 0 0 05 Mar 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 37 29 0 12 Feb 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients Guihong Li Yuedong Yang Kartikeya Bhardwaj R. Marculescu 31 60 0 26 Jan 2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices Yuji Chai Devashree Tripathy Chu Zhou Dibakar Gope Igor Fedorov Ramon Matas David Brooks Gu-Yeon Wei P. Whatmough GNN 29 4 0 26 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 43 73 0 11 Jan 2023
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space Arash Ahmadian Louis S.P. Liu Yue Fei Konstantinos N. Plataniotis Mahdi S. Hosseini 19 0 0 31 Dec 2022
GENNAPE: Towards Generalized Neural Architecture Performance Estimators Keith G. Mills Fred X. Han Jialin Zhang Fabián A. Chudak A. Mamaghani Mohammad Salameh Wei Lu Shangling Jui Di Niu 13 4 0 30 Nov 2022
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction Yun Yi Haokui Zhang Wenze Hu Nannan Wang Xiaoyu Wang AI4TS AI4CE 19 8 0 15 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 74 4 0 11 Nov 2022
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework Liuchun Yuan Zehao Huang Naiyan Wang 29 0 0 26 Oct 2022
BLOX: Macro Neural Architecture Search Benchmark and Algorithms Thomas C. P. Chau L. Dudziak Hongkai Wen Nicholas D. Lane Mohamed S. Abdelfattah 19 13 0 13 Oct 2022
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge Yumeng Zhang J. Hsieh Chun-Chieh Lee Kuo-Chin Fan 28 0 0 02 Oct 2022
EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring Yash Akhauri J. P. Muñoz Nilesh Jain Ravi Iyer 46 13 0 15 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures Haiping Huang Zhikun Zhang Yun Shen Michael Backes Qi Li Yang Zhang 27 7 0 04 Sep 2022
Tackling Neural Architecture Search With Quality Diversity Optimization Lennart Schneider Florian Pfisterer P. Kent Juergen Branke B. Bischl Janek Thomas AI4CE 16 3 0 30 Jul 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song Sagi Perel Chansoo Lee Greg Kochanski Daniel Golovin 29 26 0 27 Jul 2022
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks Charles Edison Tripp J. Perr-Sauer L. Hayne M. Lunacek Jamil Gafur AI4CE 21 0 0 25 Jul 2022
DC-BENCH: Dataset Condensation Benchmark Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 29 71 0 20 Jul 2022