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SotA/Methodology/AutoML/NAS-Bench-201, ImageNet-16-120

AutoML on NAS-Bench-201, ImageNet-16-120

Metric: Search time (s) (higher is better)

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#Model↕Search time (s)▼AugmentationsPaperDate↕Code
1Local search151200NoExploring the Loss Landscape in Neural Architect...2020-05-06Code
2BANANAS100800NoBANANAS: Bayesian Optimization with Neural Archi...2019-10-25Code
3NASBOT75600NoNeural Architecture Search with Bayesian Optimis...2018-02-11Code
4DARTS (second order)29902NoDARTS: Differentiable Architecture Search2018-06-24Code
5GDAS28926NoSearching for A Robust Neural Architecture in Fo...2019-10-10Code
6CATCH-meta18000NoCATCH: Context-based Meta Reinforcement Learning...2020-07-18-
7ENAS13315No---
8REA12000NoRegularized Evolution for Image Classifier Archi...2018-02-05Code
9DARTS (first order)10890NoDARTS: Differentiable Architecture Search2018-06-24Code
10FairNAS9845NoFairNAS: Rethinking Evaluation Fairness of Weigh...2019-07-03Code
11RSPS7587NoRandom Search and Reproducibility for Neural Arc...2019-02-20Code
12GenNAS1080NoGeneric Neural Architecture Search via Regression2021-08-04Code
13EPE-NAS (N=1000)206.2NoEPE-NAS: Efficient Performance Estimation Withou...2021-02-16Code
14EPE-NAS (N=500)105.8NoEPE-NAS: Efficient Performance Estimation Withou...2021-02-16Code
15EPE-NAS (N=100)20.5NoEPE-NAS: Efficient Performance Estimation Withou...2021-02-16Code
16NAS without training (N=100)17.4NoNeural Architecture Search without Training2020-06-08Code
17DiNAS15.36NoMulti-conditioned Graph Diffusion for Neural Arc...2024-03-09Code
18EPE-NAS (N=10)2.3NoEPE-NAS: Efficient Performance Estimation Withou...2021-02-16Code
19NAS without training (N=10)1.7NoNeural Architecture Search without Training2020-06-08Code