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

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

2 January 2020
Xuanyi Dong
Yi Yang
ArXivPDFHTML

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

50 / 60 papers shown
Title
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
Filippo Betello
Antonio Purificato
Vittoria Vineis
Gabriele Tolomei
Fabrizio Silvestri
30
0
0
02 May 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Bingye Zhou
Caiyang Yu
DiffM
46
0
0
24 Apr 2025
Transferrable Surrogates in Expressive Neural Architecture Search Spaces
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
35
0
0
17 Apr 2025
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
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
A Benchmark on Directed Graph Representation Learning in Hardware
  Designs
A Benchmark on Directed Graph Representation Learning in Hardware Designs
Haoyu Wang
Yinan Huang
Nan Wu
Pan Li
OOD
30
1
0
09 Oct 2024
Dynamic Post-Hoc Neural Ensemblers
Dynamic Post-Hoc Neural Ensemblers
Sebastian Pineda Arango
Maciej Janowski
Lennart Purucker
Arber Zela
Frank Hutter
Josif Grabocka
UQCV
31
0
0
06 Oct 2024
Combining Neural Architecture Search and Automatic Code Optimization: A
  Survey
Combining Neural Architecture Search and Automatic Code Optimization: A Survey
Inas Bachiri
Hadjer Benmeziane
Smail Niar
Riyadh Baghdadi
Hamza Ouarnoughi
Abdelkrime Aries
20
0
0
07 Aug 2024
Efficient Multi-Objective Neural Architecture Search via Pareto
  Dominance-based Novelty Search
Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search
An Vo
Ngoc Hoang Luong
11
0
0
30 Jul 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
Jacob O. Tørring
Carl Hvarfner
Luigi Nardi
Magnus Sjalander
39
0
0
24 Jun 2024
Younger: The First Dataset for Artificial Intelligence-Generated Neural
  Network Architecture
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture
Zhengxin Yang
Wanling Gao
Luzhou Peng
Yunyou Huang
Fei Tang
Jianfeng Zhan
19
0
0
20 Jun 2024
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS
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
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search
Ye Qiao
Haocheng Xu
Sitao Huang
14
0
0
30 Mar 2024
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted
  Networks
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
Steven Adriaensen
Herilalaina Rakotoarison
Samuel G. Müller
Frank Hutter
BDL
21
18
0
31 Oct 2023
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
Juan Zou
Shenghong Wu
Yizhang Xia
Weiwei Jiang
Zeping Wu
Jinhua Zheng
3DV
11
0
0
14 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention Matching
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
29
55
0
29 Sep 2023
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks
Kartikeya Bhardwaj
Hsin-Pai Cheng
Sweta Priyadarshi
Zhuojing Li
16
1
0
26 Sep 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture
  Performance to Model Robustness
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness
Jovita Lukasik
Michael Moeller
M. Keuper
9
1
0
18 Jul 2023
Rethink DARTS Search Space and Renovate a New Benchmark
Rethink DARTS Search Space and Renovate a New Benchmark
Jiuling Zhang
Zhiming Ding
22
1
0
12 Jun 2023
Density Ratio Estimation-based Bayesian Optimization with
  Semi-Supervised Learning
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Jungtaek Kim
14
1
0
24 May 2023
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in
  Arbitrary Subspaces
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces
Shuhei Watanabe
Archit Bansal
Frank Hutter
19
12
0
20 Apr 2023
Reparameterization through Spatial Gradient Scaling
Reparameterization through Spatial Gradient Scaling
A. Detkov
Mohammad Salameh
Muhammad Fetrat Qharabagh
Jialin Zhang
Wei Lui
Shangling Jui
Di Niu
8
0
0
05 Mar 2023
Transfer Learning for Bayesian Optimization: A Survey
Transfer Learning for Bayesian Optimization: A Survey
Tianyi Bai
Yang Li
Yu Shen
Xinyi Zhang
Wentao Zhang
Bin Cui
BDL
10
28
0
12 Feb 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
Guihong Li
Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
13
59
0
26 Jan 2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep
  Learning Models on Edge Devices
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
16
4
0
26 Jan 2023
NAR-Former: Neural Architecture Representation Learning towards Holistic
  Attributes Prediction
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction
Yun Yi
Haokui Zhang
Wenze Hu
Nannan Wang
Xiaoyu Wang
AI4TS
AI4CE
6
8
0
15 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
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
63
4
0
11 Nov 2022
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight
  Neural Architecture by Prior Knowledge
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge
Yumeng Zhang
J. Hsieh
Chun-Chieh Lee
Kuo-Chin Fan
17
0
0
02 Oct 2022
EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring
EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring
Yash Akhauri
J. P. Muñoz
Nilesh Jain
Ravi Iyer
28
13
0
15 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures
On the Privacy Risks of Cell-Based NAS Architectures
Haiping Huang
Zhikun Zhang
Yun Shen
Michael Backes
Qi Li
Yang Zhang
8
7
0
04 Sep 2022
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully
  Connected Neural Networks
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
13
0
0
25 Jul 2022
DC-BENCH: Dataset Condensation Benchmark
DC-BENCH: Dataset Condensation Benchmark
Justin Cui
Ruochen Wang
Si Si
Cho-Jui Hsieh
DD
6
71
0
20 Jul 2022
Architecture Augmentation for Performance Predictor Based on Graph
  Isomorphism
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism
Xiangning Xie
Yuqiao Liu
Yanan Sun
Mengjie Zhang
Kay Chen Tan
GNN
AI4CE
14
2
0
03 Jul 2022
Multifidelity Reinforcement Learning with Control Variates
Multifidelity Reinforcement Learning with Control Variates
Sami Khairy
Prasanna Balaprakash
OffRL
17
5
0
10 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search
A Survey on Computationally Efficient Neural Architecture Search
Shiqing Liu
Haoyu Zhang
Yaochu Jin
18
40
0
03 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
19
341
0
13 May 2022
Efficient Automated Deep Learning for Time Series Forecasting
Efficient Automated Deep Learning for Time Series Forecasting
Difan Deng
Florian Karl
Frank Hutter
Bernd Bischl
Marius Lindauer
AI4TS
22
16
0
11 May 2022
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search
Yameng Peng
A. Song
V. Ciesielski
Haytham M. Fayek
Xiaojun Chang
11
14
0
27 Apr 2022
Arch-Graph: Acyclic Architecture Relation Predictor for
  Task-Transferable Neural Architecture Search
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
Minbin Huang
Zhijian Huang
Changlin Li
Xin Chen
Hangyang Xu
Zhenguo Li
Xiaodan Liang
21
18
0
12 Apr 2022
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture
  Search
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
22
4
0
11 Apr 2022
Towards Less Constrained Macro-Neural Architecture Search
Towards Less Constrained Macro-Neural Architecture Search
Vasco Lopes
L. A. Alexandre
20
5
0
10 Mar 2022
Neural Architecture Search using Progressive Evolution
Neural Architecture Search using Progressive Evolution
Nilotpal Sinha
Kuan-Wen Chen
8
6
0
03 Mar 2022
Neural Capacitance: A New Perspective of Neural Network Selection via
  Edge Dynamics
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics
Chunheng Jiang
Tejaswini Pedapati
Pin-Yu Chen
Yizhou Sun
Jianxi Gao
9
2
0
11 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
15
26
0
16 Dec 2021
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image
  Prior
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
Metin Ersin Arican
Ozgur Kara
G. Bredell
E. Konukoglu
17
17
0
27 Nov 2021
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
Bichen Wu
Chaojian Li
Hang Zhang
Xiaoliang Dai
Peizhao Zhang
Matthew Yu
Jialiang Wang
Yingyan Lin
Peter Vajda
ViT
14
23
0
19 Nov 2021
A Data-driven Approach to Neural Architecture Search Initialization
A Data-driven Approach to Neural Architecture Search Initialization
Kalifou René Traoré
Andrés Camero
Xiao Xiang Zhu
11
3
0
05 Nov 2021
Guided Evolution for Neural Architecture Search
Guided Evolution for Neural Architecture Search
Vasco Lopes
Miguel Santos
Bruno Degardin
Luís A. Alexandre
15
9
0
28 Oct 2021
Accelerating Multi-Objective Neural Architecture Search by Random-Weight
  Evaluation
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation
Shengran Hu
Ran Cheng
Cheng He
Zhichao Lu
Jing Wang
Miao Zhang
16
7
0
08 Oct 2021
L$^{2}$NAS: Learning to Optimize Neural Architectures via
  Continuous-Action Reinforcement Learning
L2^{2}2NAS: 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
8
10
0
25 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems
  for HPO
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Katharina Eggensperger
Philip Muller
Neeratyoy Mallik
Matthias Feurer
René Sass
Aaron Klein
Noor H. Awad
Marius Lindauer
Frank Hutter
30
98
0
14 Sep 2021
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