| CR-LSO |
- Accuracy (Test)
- 46.98
- Accuracy (Val)
- 46.51
|
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks 2022-11-11 |
코드 1 |
| Shapley-NAS |
- Accuracy (Test)
- 46.85
- Accuracy (Val)
- 46.57
|
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search 2022-06-20 |
코드 1 |
| β-SDARTS-RS |
- Accuracy (Test)
- 46.71
|
$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search 2022-03-03 |
코드 1 |
| β-RDARTS-L2 |
- Accuracy (Test)
- 46.71
|
$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search 2022-03-03 |
코드 1 |
| NAR |
- Accuracy (Test)
- 46.66
- Accuracy (Val)
- 46.16
|
Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search 2022-01-30 |
코드 1 |
| BaLeNAS-TF |
- Accuracy (Test)
- 46.54
- Accuracy (Val)
- 46.14
|
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule 2021-11-25 |
연결 없음 |
| AG-Net |
- Accuracy (Test)
- 46.42
- Accuracy (Val)
- 46.73
|
Learning Where To Look -- Generative NAS is Surprisingly Efficient 2022-03-16 |
코드 1 |
| Local search |
- Accuracy (Test)
- 46.38
- Search time (s)
- 151200
|
Exploring the Loss Landscape in Neural Architecture Search 2020-05-06 |
코드 1 · 코드 2 |
| NASBOT |
- Accuracy (Test)
- 46.37
- Search time (s)
- 75600
|
Neural Architecture Search with Bayesian Optimisation and Optimal Transport 2018-02-11 |
코드 1 |
| GAEA DARTS (ERM) |
- Accuracy (Test)
- 46.36
|
Geometry-Aware Gradient Algorithms for Neural Architecture Search 2020-04-16 |
코드 1 |
| DrNAS |
- Accuracy (Test)
- 46.34
- Accuracy (Val)
- 46.37
|
DrNAS: Dirichlet Neural Architecture Search 2020-06-18 |
코드 1 |
| β-DARTS |
- Accuracy (Test)
- 46.34
- Accuracy (Val)
- 46.37
|
$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search 2022-03-03 |
코드 1 |
| Λ-DARTS |
- Accuracy (Test)
- 46.34
- Accuracy (Val)
- 46.37
|
$Λ$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells 2022-10-14 |
코드 1 |
| IS-DARTS |
- Accuracy (Test)
- 46.34
- Accuracy (Val)
- 46.37
|
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance 2023-12-19 |
코드 1 |
| ParZC |
- Accuracy (Test)
- 46.34
- Accuracy (Val)
- 46.37
|
ParZC: Parametric Zero-Cost Proxies for Efficient NAS 2024-02-03 |
연결 없음 |
| α-DARTS |
- Accuracy (Test)
- 46.34
- Accuracy (Val)
- 46.17
|
$α$ DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling 2022-11-18 |
연결 없음 |
| TNAS |
- Accuracy (Test)
- 46.31
|
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search 2022-04-11 |
코드 1 |
| BANANAS |
- Accuracy (Test)
- 46.3
- Search time (s)
- 100800
|
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search 2019-10-25 |
코드 1 · 코드 2 · 코드 3 |
| arch2vec |
- Accuracy (Test)
- 46.27
|
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? 2020-06-12 |
코드 1 |
| RF-DARTS |
- Accuracy (Test)
- 46.1
- Accuracy (Val)
- 46.40
|
Differentiable Architecture Search with Random Features 2022-08-18 |
연결 없음 |
| GEA |
- Accuracy (Test)
- 46.04
|
Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation 2022-07-22 |
연결 없음 |
| DU-DARTS |
- Accuracy (Test)
- 45.94
|
DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search 2021-11-23 |
코드 1 |
| DARTS-SaBN |
- Accuracy (Test)
- 45.85
|
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity 2021-02-22 |
코드 1 |
| GenNAS |
- Accuracy (Test)
- 45.59
- Search time (s)
- 1080
|
Generic Neural Architecture Search via Regression 2021-08-04 |
코드 1 · 코드 2 |
| REA |
- Accuracy (Test)
- 45.54
- Search time (s)
- 12000
|
Regularized Evolution for Image Classifier Architecture Search 2018-02-05 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| CDARTS |
- Accuracy (Test)
- 45.51
|
Cyclic Differentiable Architecture Search 2020-06-18 |
코드 1 · 코드 2 · 코드 3 |
| DiNAS |
- Accuracy (Test)
- 45.41
- Search time (s)
- 15.36
- Accuracy (Val)
- 46.66
|
Multi-conditioned Graph Diffusion for Neural Architecture Search 2024-03-09 |
코드 1 |
| PRE-NAS |
- Accuracy (Test)
- 45.34
|
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search 2022-04-27 |
연결 없음 |
| DARTS- |
- Accuracy (Test)
- 45.12
- Accuracy (Val)
- 44.87
|
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators 2020-09-02 |
코드 1 |
| KNAS (k=40) |
- Accuracy (Test)
- 45.05
|
KNAS: Green Neural Architecture Search 2021-11-26 |
코드 1 |