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SOTA
Neuronale Architektursuche
Neural Architecture Search On Imagenet
Neural Architecture Search On Imagenet
Metriken
Accuracy
FLOPs
Params
Top-1 Error Rate
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Accuracy
FLOPs
Params
Top-1 Error Rate
Paper Title
MUXNet-xs
66.7
-
1.8M
33.3
MUXConv: Information Multiplexing in Convolutional Neural Networks
FBNetV2-F1
68.3
-
-
31.7
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
LayerNAS-60M
-
-
3.7M
31
LayerNAS: Neural Architecture Search in Polynomial Complexity
NASGEP
70.49
-
-
29.51
Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach
MUXNet-s
71.6
-
2.4M
28.4
MUXConv: Information Multiplexing in Convolutional Neural Networks
NN-MASS-A
72.9
200M
2.3M
27.1
How does topology of neural architectures impact gradient propagation and model performance?
FBNetV2-F3
73.2
-
-
26.8
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
DARTS
73.3
-
4.9
26.7
DARTS: Differentiable Architecture Search
NN-MASS-B
73.3
393M
3.7M
26.7
How does topology of neural architectures impact gradient propagation and model performance?
GDAS
74.0
-
5.3
26.0
-
MemNAS
74.1
-
-
25.9
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning
EEEA-Net-C1 (b=7) (our)
74.3
-
-
25.7
EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
FairNAS-C
74.69
-
4.4M
25.4
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
RandWire-WS (small)
-
583M
5.6M
25.3
Exploring Randomly Wired Neural Networks for Image Recognition
iDARTS (CIFAR-10)
-
-
5.1M
25.2
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization
EvNAS-C
74.9
-
4.9
25.1
Evolving Neural Architecture Using One Shot Model
SharpSepConvDARTS
74.1
-
4.9M
25.1
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
FairNAS-B
75.1
-
4.5M
24.9
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
ProxylesNAS
75.1
-
5.1M
24.9
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
iDARTS (ImageNet)
-
-
5.1M
24.7
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization
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Neural Architecture Search On Imagenet | SOTA | HyperAI