HyperAI
الرئيسية
الأخبار
أحدث الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
العربية
HyperAI
Toggle sidebar
البحث في الموقع...
⌘
K
الرئيسية
SOTA
Architecture Search
Neural Architecture Search On Nas Bench 201
Neural Architecture Search On Nas Bench 201
المقاييس
Accuracy (Test)
Accuracy (Val)
Search time (s)
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
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
0 of 49 row(s) selected.
Previous
Next