AutoML on NAS-Bench-201, CIFAR-100

Metric: Accuracy (Test) (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy (Test)▼	Augmentations	Paper	Date↕	Code
1	DiNAS	73.51	No	Multi-conditioned Graph Diffusion for Neural Arc...	2024-03-09	Code
2	β-DARTS	73.51	No	$β$-DARTS: Beta-Decay Regularization for Differe...	2022-03-03	Code
3	Shapley-NAS	73.51	No	Shapley-NAS: Discovering Operation Contribution ...	2022-06-20	Code
4	DrNAS	73.51	No	DrNAS: Dirichlet Neural Architecture Search	2020-06-18	Code
5	AG-Net	73.51	No	Learning Where To Look -- Generative NAS is Surp...	2022-03-16	Code
6	Λ-DARTS	73.51	No	$Λ$-DARTS: Mitigating Performance Collapse by Ha...	2022-10-14	Code
7	IS-DARTS	73.51	No	IS-DARTS: Stabilizing DARTS through Precise Meas...	2023-12-19	Code
8	CR-LSO	73.47	No	CR-LSO: Convex Neural Architecture Optimization ...	2022-11-11	Code
9	GAEA DARTS (ERM)	73.43	No	Geometry-Aware Gradient Algorithms for Neural Ar...	2020-04-16	Code
10	arch2vec	73.37	No	Does Unsupervised Architecture Representation Le...	2020-06-12	Code
11	α-DARTS	73.16	No	$α$ DARTS Once More: Enhancing Differentiable Ar...	2022-11-18	-
12	TNAS	73.02	No	When NAS Meets Trees: An Efficient Algorithm for...	2022-04-11	Code
13	BaLeNAS-TF	72.95	No	BaLeNAS: Differentiable Architecture Search via ...	2021-11-25	-
14	RF-DARTS	72.94	No	Differentiable Architecture Search with Random F...	2022-08-18	-
15	NAR	72.89	No	Generalized Global Ranking-Aware Neural Architec...	2022-01-30	Code
16	GenNAS	72.56	No	Generic Neural Architecture Search via Regression	2021-08-04	Code
17	GAE	72.36	No	Guided Evolutionary Neural Architecture Search W...	2022-07-22	-
18	PRE-NAS	72.02	No	PRE-NAS: Predictor-assisted Evolutionary Neural ...	2022-04-27	-
19	CDARTS	71.92	No	Cyclic Differentiable Architecture Search	2020-06-18	Code
20	DU-DARTS	71.84	No	-	-	Code
21	DARTS-SaBN	71.56	No	Sandwich Batch Normalization: A Drop-In Replacem...	2021-02-22	Code
22	DARTS-	71.53	No	DARTS-: Robustly Stepping out of Performance Col...	2020-09-02	Code
23	KNAS (k=40)	71.05	No	KNAS: Green Neural Architecture Search	2021-11-26	Code
24	FairNAS	71	No	FairNAS: Rethinking Evaluation Fairness of Weigh...	2019-07-03	Code
25	iDARTS	70.83	No	iDARTS: Differentiable Architecture Search with ...	2021-06-21	Code
26	GDAS	70.7	No	Searching for A Robust Neural Architecture in Fo...	2019-10-10	Code
27	EPE-NAS (N=10)	70.1	No	EPE-NAS: Efficient Performance Estimation Withou...	2021-02-16	Code
28	EPE-NAS (N=1000)	69.58	No	EPE-NAS: Efficient Performance Estimation Withou...	2021-02-16	Code
29	NAS-LID+RSPS	69.39	No	NAS-LID: Efficient Neural Architecture Search wi...	2022-11-23	Code
30	SNAS	69.34	No	SNAS: Stochastic Neural Architecture Search	2018-12-24	Code
31	EPE-NAS (N=500)	69.33	No	EPE-NAS: Efficient Performance Estimation Withou...	2021-02-16	Code
32	EPE-NAS (N=100)	67.19	No	EPE-NAS: Efficient Performance Estimation Withou...	2021-02-16	Code
33	RSPS	58.33	No	Random Search and Reproducibility for Neural Arc...	2019-02-20	Code
34	SETN	56.87	No	One-Shot Neural Architecture Search via Self-Eva...	2019-10-13	Code
35	DARTS-V1	15.61	No	-	-	-
36	ENAS	15.61	No	-	-	-
37	DARTS-V2	15.61	No	-	-	-

#1DiNAS
73.51
Accuracy (Test)· 2024-03-09
Multi-conditioned Graph Diffusion for Neural Architecture Search Code
#2β-DARTS
73.51
Accuracy (Test)· 2022-03-03
$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search Code
#3Shapley-NAS
73.51
Accuracy (Test)· 2022-06-20
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search Code
#4DrNASSOTA
73.51
Accuracy (Test)· 2020-06-18
DrNAS: Dirichlet Neural Architecture Search Code
#5AG-Net
73.51
Accuracy (Test)· 2022-03-16
Learning Where To Look -- Generative NAS is Surprisingly Efficient Code
#6Λ-DARTS
73.51
Accuracy (Test)· 2022-10-14
$Λ$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells Code
#7IS-DARTS
73.51
Accuracy (Test)· 2023-12-19
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance Code
#8CR-LSO
73.47
Accuracy (Test)· 2022-11-11
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Code
#9GAEA DARTS (ERM)SOTA
73.43
Accuracy (Test)· 2020-04-16
Geometry-Aware Gradient Algorithms for Neural Architecture Search Code
#10arch2vec
73.37
Accuracy (Test)· 2020-06-12
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?Code
#11α-DARTS
73.16
Accuracy (Test)· 2022-11-18
$α$ DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling
#12TNAS
73.02
Accuracy (Test)· 2022-04-11
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search Code
#13BaLeNAS-TF
72.95
Accuracy (Test)· 2021-11-25
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
#14RF-DARTS
72.94
Accuracy (Test)· 2022-08-18
Differentiable Architecture Search with Random Features
#15NAR
72.89
Accuracy (Test)· 2022-01-30
Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search Code
#16GenNAS
72.56
Accuracy (Test)· 2021-08-04
Generic Neural Architecture Search via Regression Code
#17GAE
72.36
Accuracy (Test)· 2022-07-22
Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation
#18PRE-NAS
72.02
Accuracy (Test)· 2022-04-27
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search
#19CDARTS
71.92
Accuracy (Test)· 2020-06-18
Cyclic Differentiable Architecture Search Code
#20DU-DARTS
71.84
Accuracy (Test)
No paperCode
#21DARTS-SaBN
71.56
Accuracy (Test)· 2021-02-22
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity Code
#22DARTS-
71.53
Accuracy (Test)· 2020-09-02
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators Code
#23KNAS (k=40)
71.05
Accuracy (Test)· 2021-11-26
KNAS: Green Neural Architecture Search Code
#24FairNASSOTA
71
Accuracy (Test)· 2019-07-03
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search Code
#25iDARTS
70.83
Accuracy (Test)· 2021-06-21
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients Code
#26GDAS
70.7
Accuracy (Test)· 2019-10-10
Searching for A Robust Neural Architecture in Four GPU Hours Code
#27EPE-NAS (N=10)
70.1
Accuracy (Test)· 2021-02-16
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search Code
#28EPE-NAS (N=1000)
69.58
Accuracy (Test)· 2021-02-16
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search Code
#29NAS-LID+RSPS
69.39
Accuracy (Test)· 2022-11-23
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension Code
#30SNASSOTA
69.34
Accuracy (Test)· 2018-12-24
SNAS: Stochastic Neural Architecture Search Code
#31EPE-NAS (N=500)
69.33
Accuracy (Test)· 2021-02-16
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search Code
#32EPE-NAS (N=100)
67.19
Accuracy (Test)· 2021-02-16
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search Code
#33RSPS
58.33
Accuracy (Test)· 2019-02-20
Random Search and Reproducibility for Neural Architecture Search Code
#34SETN
56.87
Accuracy (Test)· 2019-10-13
One-Shot Neural Architecture Search via Self-Evaluated Template Network Code
#35DARTS-V1
15.61
Accuracy (Test)
No paper
#36ENAS
15.61
Accuracy (Test)
No paper
#37DARTS-V2
15.61
Accuracy (Test)
No paper