Neural Architecture Search On Nas Bench 201

평가 지표

Accuracy (Test)

Accuracy (Val)

Search time (s)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Accuracy (Test)	Accuracy (Val)	Search time (s)	Paper Title	Repository
DiNAS	45.41	46.66	15.36	Multi-conditioned Graph Diffusion for Neural Architecture Search
ParZC	46.34	46.37	-	ParZC: Parametric Zero-Cost Proxies for Efficient NAS	-
AG-Net	46.42	46.73	-	Learning Where To Look -- Generative NAS is Surprisingly Efficient
GDAS	41.71	-	28926	Searching for A Robust Neural Architecture in Four GPU Hours
α-DARTS	46.34	46.17	-	$α$ DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling	-
EPE-NAS (N=100)	38.80	-	20.5	EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search
NASBOT	46.37	-	75600	Neural Architecture Search with Bayesian Optimisation and Optimal Transport
DARTS-	45.12	44.87	-	DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
arch2vec	46.27	-	-	Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shapley-NAS	46.85	46.57	-	Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
GEA	46.04	-	-	Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation	-
iDARTS	40.89	40.38	-	iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
PNAS +	-	44.75	-	Progressive Neural Architecture Search
DARTS-SaBN	45.85	-	-	Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity
DARTS (second order)	16.43	-	29902	DARTS: Differentiable Architecture Search
Λ-DARTS	46.34	46.37	-	$Λ$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
Local search	46.38	-	151200	Exploring the Loss Landscape in Neural Architecture Search
CATCH-meta	-	46.07	18000	CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search	-
GAEA DARTS (ERM)	46.36	-	-	Geometry-Aware Gradient Algorithms for Neural Architecture Search
NAS without training (N=10)	38.33	-	1.7	Neural Architecture Search without Training

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