| AtomNAS-C+† |
- Top-1 Error Rate
- 22.4
- Accuracy
- 77.6
- Params
- 5.9M
- MACs
- 363M
|
AtomNAS: Fine-Grained End-to-End Neural Architecture Search 2019-12-20 |
코드 1 |
| NAT-M1 |
- Top-1 Error Rate
- 22.5
- Accuracy
- 77.5
- Params
- 6.0M
- MACs
- 225M
|
Neural Architecture Transfer 2020-05-12 |
코드 1 · 코드 2 |
| DNA-b |
- Top-1 Error Rate
- 22.5
- Accuracy
- 77.5
- FLOPs
- 406M
- Params
- 4.9M
|
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation 2019-11-29 |
코드 1 |
| NSGANetV2-s |
- Top-1 Error Rate
- 22.6
- Accuracy
- 77.4
- Params
- 6.1M
- MACs
- 225M
|
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search 2020-07-20 |
코드 1 |
| HardcoreNAS_D |
- Top-1 Error Rate
- 22.6
- Accuracy
- 77.4
- MACs
- 290M
|
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search 2021-02-23 |
코드 1 · 코드 2 |
| AttentiveNAS-A0 |
- Top-1 Error Rate
- 22.7
- Accuracy
- 77.3
- MACs
- 203M
|
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling 2020-11-18 |
코드 1 · 코드 2 |
| ISyNet-N1-S1 |
- Top-1 Error Rate
- 22.7
|
ISyNet: Convolutional Neural Networks design for AI accelerator 2021-09-04 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 |
| AtomNAS-B+† |
- Top-1 Error Rate
- 22.8
- Accuracy
- 77.2
- Params
- 5.5M
- MACs
- 329M
|
AtomNAS: Fine-Grained End-to-End Neural Architecture Search 2019-12-20 |
코드 1 |
| FBNetV5-AR-CLS |
- Top-1 Error Rate
- 22.8
- Accuracy
- 77.2
- FLOPs
- 215M
|
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run 2021-11-19 |
연결 없음 |
| FBNetV2-L1 |
- Top-1 Error Rate
- 22.8
- Accuracy
- 77.2
- MACs
- 325M
|
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions 2020-04-12 |
코드 1 |
| FairDARTS-C |
- Top-1 Error Rate
- 22.8
- MACs
- 386M
|
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search 2019-11-27 |
코드 1 |
| GreedyNAS-A |
- Top-1 Error Rate
- 22.9
- Accuracy
- 77.1
- Params
- 6.5M
|
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet 2020-03-25 |
연결 없음 |
| DNA-a |
- Top-1 Error Rate
- 22.9
- Accuracy
- 77.1
- FLOPs
- 348M
- Params
- 4.2M
|
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation 2019-11-29 |
코드 1 |
| HardcoreNAS_C |
- Top-1 Error Rate
- 22.9
- Accuracy
- 77.1
- MACs
- 270M
|
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search 2021-02-23 |
코드 1 · 코드 2 |
| LayerNAS-300M |
- Top-1 Error Rate
- 22.9
- Params
- 5.2M
- MACs
- 322M
|
LayerNAS: Neural Architecture Search in Polynomial Complexity 2023-04-23 |
연결 없음 |
| SCARLET-A |
- Top-1 Error Rate
- 23.1
- Accuracy
- 76.9
- Params
- 6.7M
- MACs
- 365M
|
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search 2019-08-16 |
코드 1 |
| OFA w/ PS #75 |
- Top-1 Error Rate
- 23.1
- Accuracy
- 76.9
- MACs
- 230M
|
Once-for-All: Train One Network and Specialize it for Efficient Deployment 2019-08-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 |
| ISyNet-N1 |
- Top-1 Error Rate
- 23.16
|
ISyNet: Convolutional Neural Networks design for AI accelerator 2021-09-04 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 |
| GreedyNAS-B |
- Top-1 Error Rate
- 23.2
- Accuracy
- 76.8
- Params
- 5.2M
|
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet 2020-03-25 |
연결 없음 |
| MUXNet-l |
- Top-1 Error Rate
- 23.4
- Accuracy
- 76.6
- Params
- 4.0M
- MACs
- 318M
|
MUXConv: Information Multiplexing in Convolutional Neural Networks 2020-03-31 |
코드 1 |
| GBDT-NAS-3S |
- Top-1 Error Rate
- 23.5
- Accuracy
- 76.5
- Params
- 6.4M
- MACs
- 577M
|
Accuracy Prediction with Non-neural Model for Neural Architecture Search 2020-07-09 |
코드 1 |
| BigNASModel-S |
- Top-1 Error Rate
- 23.5
- Accuracy
- 76.5
- Params
- 4.5M
- MACs
- 242M
|
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models 2020-03-24 |
코드 1 |
| SemiNAS |
- Top-1 Error Rate
- 23.5
- Accuracy
- 76.5
|
Semi-Supervised Neural Architecture Search 2020-02-24 |
코드 1 · 코드 2 |
| AutoNL-S |
- Top-1 Error Rate
- 23.5
- Accuracy
- 76.5
|
Neural Architecture Search for Lightweight Non-Local Networks 2020-04-04 |
코드 1 · 코드 2 |
| HardcoreNAS_B |
- Top-1 Error Rate
- 23.5
- Accuracy
- 76.5
- MACs
- 250M
|
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search 2021-02-23 |
코드 1 · 코드 2 |
| SCARLET-B |
- Top-1 Error Rate
- 23.7
- Accuracy
- 76.3
- Params
- 6.5M
- MACs
- 329M
|
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search 2019-08-16 |
코드 1 |
| AtomNAS-A+† |
- Top-1 Error Rate
- 23.7
- Accuracy
- 76.3
- Params
- 4.7M
- MACs
- 260M
|
AtomNAS: Fine-Grained End-to-End Neural Architecture Search 2019-12-20 |
코드 1 |
| DrNAS |
- Top-1 Error Rate
- 23.7
- Params
- 5.7M
|
DrNAS: Dirichlet Neural Architecture Search 2020-06-18 |
코드 1 |
| GreedyNAS-C |
- Top-1 Error Rate
- 23.8
- Accuracy
- 76.2
- Params
- 4.7M
|
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet 2020-03-25 |
연결 없음 |
| EEEA-Net-C2 (b=7) (our) |
- Top-1 Error Rate
- 23.8
- Accuracy
- 76.2
|
EEEA-Net: An Early Exit Evolutionary Neural Architecture Search 2021-08-13 |
코드 1 |