TASK
DATASET
MODEL
METRIC NAME
METRIC VALUE
GLOBAL RANK
EXTRA DATA
REMOVE
Image Classification
CIFAR-10
NAT-M2
Percentage correct
97.9
# 63
Image Classification
CIFAR-10
NAT-M2
Top-1 Accuracy
97.9
# 5
Image Classification
CIFAR-10
NAT-M2
Parameters
4.6M
# 3
Image Classification
CIFAR-10
NAT-M3
Percentage correct
98.2
# 49
Image Classification
CIFAR-10
NAT-M3
Top-1 Accuracy
98.2
# 3
Image Classification
CIFAR-10
NAT-M3
Parameters
6.2M
# 2
Image Classification
CIFAR-10
NAT-M4
Percentage correct
98.4
# 41
Image Classification
CIFAR-10
NAT-M4
Top-1 Accuracy
98.4
# 2
Image Classification
CIFAR-10
NAT-M4
Parameters
6.9M
# 1
Neural Architecture Search
CIFAR-10
NAT-M4
Top-1 Error Rate
1.6%
# 1
Neural Architecture Search
CIFAR-10
NAT-M4
Search Time (GPU days)
1.0
# 18
Neural Architecture Search
CIFAR-10
NAT-M4
Parameters
6.9M
# 40
Neural Architecture Search
CIFAR-10
NAT-M4
FLOPS
468M
# 36
Neural Architecture Search
CIFAR-10
NAT-M1
Top-1 Error Rate
2.6%
# 28
Neural Architecture Search
CIFAR-10
NAT-M1
Search Time (GPU days)
1.0
# 18
Neural Architecture Search
CIFAR-10
NAT-M1
Parameters
4.3M
# 36
Neural Architecture Search
CIFAR-10
NAT-M1
FLOPS
232M
# 32
Neural Architecture Search
CIFAR-10
NAT-M2
Top-1 Error Rate
2.1%
# 8
Neural Architecture Search
CIFAR-10
NAT-M2
Search Time (GPU days)
1.0
# 18
Neural Architecture Search
CIFAR-10
NAT-M2
Parameters
4.6M
# 37
Neural Architecture Search
CIFAR-10
NAT-M2
FLOPS
291M
# 33
Neural Architecture Search
CIFAR-10
NAT-M3
Top-1 Error Rate
1.8%
# 3
Neural Architecture Search
CIFAR-10
NAT-M3
Search Time (GPU days)
1.0
# 18
Neural Architecture Search
CIFAR-10
NAT-M3
Parameters
6.2M
# 39
Neural Architecture Search
CIFAR-10
NAT-M3
FLOPS
392M
# 35
Image Classification
CIFAR-10
NAT-M1
Percentage correct
97.4
# 85
Image Classification
CIFAR-10
NAT-M1
Top-1 Accuracy
97.4
# 6
Image Classification
CIFAR-10
NAT-M1
Parameters
4.3M
# 4
Image Classification
CIFAR-100
NAT-M3
Percentage correct
87.7
# 41
Image Classification
CIFAR-100
NAT-M3
PARAMS
7.8M
# 197
Image Classification
CIFAR-100
NAT-M1
Percentage correct
86.0
# 57
Image Classification
CIFAR-100
NAT-M1
PARAMS
3.8M
# 195
Neural Architecture Search
CIFAR-100
NAT-M4
FLOPS
796M
# 13
Neural Architecture Search
CIFAR-100
NAT-M4
Percentage Error
11.7
# 1
Neural Architecture Search
CIFAR-100
NAT-M4
PARAMS
9.0M
# 12
Neural Architecture Search
CIFAR-100
NAT-M3
FLOPS
492M
# 12
Neural Architecture Search
CIFAR-100
NAT-M3
Percentage Error
12.3
# 3
Neural Architecture Search
CIFAR-100
NAT-M3
PARAMS
7.8M
# 11
Neural Architecture Search
CIFAR-100
NAT-M2
FLOPS
398M
# 10
Neural Architecture Search
CIFAR-100
NAT-M2
Percentage Error
12.5
# 4
Neural Architecture Search
CIFAR-100
NAT-M2
PARAMS
6.4M
# 10
Neural Architecture Search
CIFAR-100
NAT-M1
FLOPS
261M
# 9
Neural Architecture Search
CIFAR-100
NAT-M1
Percentage Error
14.0
# 6
Neural Architecture Search
CIFAR-100
NAT-M1
PARAMS
3.8M
# 9
Image Classification
CIFAR-100
NAT-M4
Percentage correct
88.3
# 38
Image Classification
CIFAR-100
NAT-M4
PARAMS
9.0M
# 198
Image Classification
CIFAR-100
NAT-M2
Percentage correct
87.5
# 43
Image Classification
CIFAR-100
NAT-M2
PARAMS
6.4M
# 196
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M2
Percentage error
2.1
# 7
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M2
Params
4.6M
# 11
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M2
FLOPS
291M
# 16
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M1
Percentage error
2.6
# 15
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M1
Params
4.3M
# 10
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M1
FLOPS
232M
# 15
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M4
Percentage error
1.6
# 1
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M4
Params
6.9M
# 15
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M4
FLOPS
468M
# 18
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M3
Percentage error
1.8
# 2
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M3
Params
6.2M
# 14
Neural Architecture Search
CIFAR-10 Image Classification
NAT-M3
FLOPS
392M
# 17
Neural Architecture Search
CINIC-10
NAT-M3
Accuracy (%)
94.3
# 2
Neural Architecture Search
CINIC-10
NAT-M3
FLOPS
501M
# 3
Neural Architecture Search
CINIC-10
NAT-M3
PARAMS
8.1M
# 3
Neural Architecture Search
CINIC-10
NAT-M1
Accuracy (%)
93.4
# 4
Neural Architecture Search
CINIC-10
NAT-M1
FLOPS
317M
# 1
Neural Architecture Search
CINIC-10
NAT-M1
PARAMS
4.6M
# 1
Image Classification
CINIC-10
NAT-M2
Accuracy
94.1
# 4
Image Classification
CINIC-10
NAT-M2
FLOPS
411M
# 8
Image Classification
CINIC-10
NAT-M2
PARAMS
6.2M
# 8
Image Classification
CINIC-10
NAT-M3
Accuracy
94.3
# 3
Image Classification
CINIC-10
NAT-M3
FLOPS
501M
# 9
Image Classification
CINIC-10
NAT-M3
PARAMS
8.1M
# 9
Image Classification
CINIC-10
NAT-M1
Accuracy
93.4
# 5
Image Classification
CINIC-10
NAT-M1
FLOPS
317M
# 7
Image Classification
CINIC-10
NAT-M1
PARAMS
4.6M
# 7
Neural Architecture Search
CINIC-10
NAT-M4
Accuracy (%)
94.8
# 1
Neural Architecture Search
CINIC-10
NAT-M4
FLOPS
710M
# 4
Neural Architecture Search
CINIC-10
NAT-M4
PARAMS
9.1M
# 4
Neural Architecture Search
CINIC-10
NAT-M2
Accuracy (%)
94.1
# 3
Neural Architecture Search
CINIC-10
NAT-M2
FLOPS
411M
# 2
Neural Architecture Search
CINIC-10
NAT-M2
PARAMS
6.2M
# 2
Neural Architecture Search
DTD
NAT-M1
Accuracy (%)
76.1
# 4
Neural Architecture Search
DTD
NAT-M1
FLOPS
136M
# 1
Neural Architecture Search
DTD
NAT-M1
PARAMS
2.2M
# 4
Neural Architecture Search
DTD
NAT-M2
Accuracy (%)
77.6
# 3
Neural Architecture Search
DTD
NAT-M2
FLOPS
297M
# 2
Neural Architecture Search
DTD
NAT-M2
PARAMS
4.0M
# 3
Neural Architecture Search
DTD
NAT-M3
Accuracy (%)
78.4
# 2
Neural Architecture Search
DTD
NAT-M3
FLOPS
347M
# 3
Neural Architecture Search
DTD
NAT-M3
PARAMS
4.1M
# 2
Neural Architecture Search
DTD
NAT-M4
Accuracy (%)
79.1
# 1
Neural Architecture Search
DTD
NAT-M4
FLOPS
560M
# 4
Neural Architecture Search
DTD
NAT-M4
PARAMS
6.3M
# 1
Neural Architecture Search
FGVC Aircraft
NAT-M1
Accuracy (%)
87.0
# 4
Neural Architecture Search
FGVC Aircraft
NAT-M1
FLOPS
175M
# 1
Neural Architecture Search
FGVC Aircraft
NAT-M1
PARAMS
3.2M
# 1
Fine-Grained Image Classification
FGVC Aircraft
NAT-M4
Accuracy
90.8%
# 47
Fine-Grained Image Classification
FGVC Aircraft
NAT-M4
FLOPS
581M
# 57
Fine-Grained Image Classification
FGVC Aircraft
NAT-M4
PARAMS
5.3M
# 57
Fine-Grained Image Classification
FGVC Aircraft
NAT-M3
Accuracy
90.1%
# 48
Fine-Grained Image Classification
FGVC Aircraft
NAT-M3
FLOPS
388M
# 56
Fine-Grained Image Classification
FGVC Aircraft
NAT-M3
PARAMS
5.1M
# 56
Neural Architecture Search
FGVC Aircraft
NAT-M3
Accuracy (%)
90.1
# 2
Neural Architecture Search
FGVC Aircraft
NAT-M3
FLOPS
388M
# 3
Neural Architecture Search
FGVC Aircraft
NAT-M3
PARAMS
5.1M
# 3
Neural Architecture Search
FGVC Aircraft
NAT-M2
Accuracy (%)
89.0
# 3
Neural Architecture Search
FGVC Aircraft
NAT-M2
FLOPS
235M
# 2
Neural Architecture Search
FGVC Aircraft
NAT-M2
PARAMS
3.4M
# 2
Fine-Grained Image Classification
FGVC Aircraft
NAT-M1
Accuracy
87.0%
# 52
Fine-Grained Image Classification
FGVC Aircraft
NAT-M1
FLOPS
175M
# 54
Fine-Grained Image Classification
FGVC Aircraft
NAT-M1
PARAMS
3.2M
# 54
Neural Architecture Search
FGVC Aircraft
NAT-M4
Accuracy (%)
90.8
# 1
Neural Architecture Search
FGVC Aircraft
NAT-M4
FLOPS
581M
# 4
Neural Architecture Search
FGVC Aircraft
NAT-M4
PARAMS
5.3M
# 4
Fine-Grained Image Classification
FGVC Aircraft
NAT-M2
Accuracy
89.0%
# 50
Fine-Grained Image Classification
FGVC Aircraft
NAT-M2
FLOPS
235M
# 55
Fine-Grained Image Classification
FGVC Aircraft
NAT-M2
PARAMS
3.4M
# 55
Image Classification
Flowers-102
NAT-M3
Accuracy
98.1%
# 29
Image Classification
Flowers-102
NAT-M3
FLOPS
250M
# 50
Image Classification
Flowers-102
NAT-M3
PARAMS
3.7M
# 47
Image Classification
Flowers-102
NAT-M2
Accuracy
97.9%
# 30
Image Classification
Flowers-102
NAT-M2
FLOPS
195M
# 49
Image Classification
Flowers-102
NAT-M2
PARAMS
3.4M
# 46
Image Classification
Flowers-102
NAT-M4
Accuracy
98.3%
# 25
Image Classification
Flowers-102
NAT-M4
FLOPS
400M
# 51
Image Classification
Flowers-102
NAT-M4
PARAMS
4.2M
# 48
Image Classification
Flowers-102
NAT-M1
FLOPS
152M
# 48
Image Classification
Flowers-102
NAT-M1
PARAMS
3.3M
# 45
Fine-Grained Image Classification
Food-101
NAT-M1
Accuracy
87.4
# 14
Fine-Grained Image Classification
Food-101
NAT-M1
FLOPS
198M
# 12
Fine-Grained Image Classification
Food-101
NAT-M1
PARAMS
3.1M
# 12
Fine-Grained Image Classification
Food-101
NAT-M3
Accuracy
89.0
# 12
Fine-Grained Image Classification
Food-101
NAT-M3
FLOPS
299M
# 14
Fine-Grained Image Classification
Food-101
NAT-M3
PARAMS
3.9M
# 13
Fine-Grained Image Classification
Food-101
NAT-M4
Accuracy
89.4
# 11
Fine-Grained Image Classification
Food-101
NAT-M4
FLOPS
361M
# 15
Fine-Grained Image Classification
Food-101
NAT-M4
PARAMS
4.5M
# 15
Neural Architecture Search
Food-101
NAT-M4
Accuracy (%)
89.4
# 1
Neural Architecture Search
Food-101
NAT-M4
FLOPS
361M
# 5
Neural Architecture Search
Food-101
NAT-M4
PARAMS
4.5M
# 5
Neural Architecture Search
Food-101
NAT-M3
Accuracy (%)
89.0
# 2
Neural Architecture Search
Food-101
NAT-M3
FLOPS
299M
# 4
Neural Architecture Search
Food-101
NAT-M3
PARAMS
3.9M
# 3
Neural Architecture Search
Food-101
NAT-M2
Accuracy (%)
88.5
# 3
Neural Architecture Search
Food-101
NAT-M2
FLOPS
266M
# 3
Neural Architecture Search
Food-101
NAT-M2
PARAMS
4.1M
# 4
Neural Architecture Search
Food-101
NAT-M1
Accuracy (%)
87.4
# 4
Neural Architecture Search
Food-101
NAT-M1
FLOPS
198M
# 2
Neural Architecture Search
Food-101
NAT-M1
PARAMS
3.1M
# 2
Fine-Grained Image Classification
Food-101
NAT-M2
Accuracy
88.5
# 13
Fine-Grained Image Classification
Food-101
NAT-M2
FLOPS
266M
# 13
Fine-Grained Image Classification
Food-101
NAT-M2
PARAMS
4.1M
# 14
Neural Architecture Search
ImageNet
NAT-M2
Top-1 Error Rate
21.4
# 44
Neural Architecture Search
ImageNet
NAT-M2
Accuracy
78.6
# 35
Neural Architecture Search
ImageNet
NAT-M2
Params
7.7M
# 13
Neural Architecture Search
ImageNet
NAT-M2
MACs
312M
# 90
Image Classification
ImageNet
NAT-M4
Top 1 Accuracy
80.5%
# 697
Image Classification
ImageNet
NAT-M4
Number of params
9.1M
# 516
Image Classification
ImageNet
NAT-M4
Number of parameters (M)
9.1M
# 1060
Neural Architecture Search
ImageNet
NAT-M4
Top-1 Error Rate
19.5
# 15
Neural Architecture Search
ImageNet
NAT-M4
Accuracy
80.5
# 11
Neural Architecture Search
ImageNet
NAT-M4
Params
9.1M
# 8
Neural Architecture Search
ImageNet
NAT-M4
MACs
600M
# 131
Neural Architecture Search
ImageNet
NAT-M3
Top-1 Error Rate
20.1
# 24
Neural Architecture Search
ImageNet
NAT-M3
Accuracy
79.9
# 19
Neural Architecture Search
ImageNet
NAT-M3
Params
9.1M
# 8
Neural Architecture Search
ImageNet
NAT-M3
MACs
490M
# 117
Neural Architecture Search
ImageNet
NAT-M1
Top-1 Error Rate
22.5
# 62
Neural Architecture Search
ImageNet
NAT-M1
Accuracy
77.5
# 50
Neural Architecture Search
ImageNet
NAT-M1
Params
6.0M
# 23
Neural Architecture Search
ImageNet
NAT-M1
MACs
225M
# 75
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M3
Accuracy
98.1
# 14
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M3
FLOPS
250M
# 24
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M3
PARAMS
3.7M
# 20
Neural Architecture Search
Oxford 102 Flowers
NAT-M1
Accuracy (%)
97.5
# 4
Neural Architecture Search
Oxford 102 Flowers
NAT-M1
FLOPS
152M
# 1
Neural Architecture Search
Oxford 102 Flowers
NAT-M1
PARAMS
3.3M
# 1
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M1
FLOPS
152M
# 22
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M1
PARAMS
3.3M
# 18
Neural Architecture Search
Oxford 102 Flowers
NAT-M2
Accuracy (%)
97.9
# 3
Neural Architecture Search
Oxford 102 Flowers
NAT-M2
FLOPS
195M
# 2
Neural Architecture Search
Oxford 102 Flowers
NAT-M2
PARAMS
3.4M
# 2
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M2
Accuracy
97.9
# 15
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M2
FLOPS
195M
# 23
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M2
PARAMS
3.4M
# 19
Neural Architecture Search
Oxford 102 Flowers
NAT-M3
Accuracy (%)
98.1
# 2
Neural Architecture Search
Oxford 102 Flowers
NAT-M3
FLOPS
250M
# 3
Neural Architecture Search
Oxford 102 Flowers
NAT-M3
PARAMS
3.7M
# 3
Neural Architecture Search
Oxford 102 Flowers
NAT-M4
Accuracy (%)
98.3
# 1
Neural Architecture Search
Oxford 102 Flowers
NAT-M4
FLOPS
400M
# 4
Neural Architecture Search
Oxford 102 Flowers
NAT-M4
PARAMS
4.2M
# 4
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M4
Accuracy
98.3
# 12
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M4
FLOPS
400M
# 25
Fine-Grained Image Classification
Oxford 102 Flowers
NAT-M4
PARAMS
4.2M
# 21
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M4
Accuracy (%)
94.3
# 1
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M4
FLOPS
744M
# 4
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M4
PARAMS
8.5M
# 4
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M2
Accuracy (%)
93.5
# 3
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M2
FLOPS
306M
# 2
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M2
PARAMS
5.5M
# 2
Fine-Grained Image Classification
Oxford-IIIT Pet Dataset
NAT-M1
FLOPS
160M
# 14
Fine-Grained Image Classification
Oxford-IIIT Pet Dataset
NAT-M1
PARAMS
4.0M
# 13
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M1
Accuracy (%)
91.8
# 4
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M1
FLOPS
160M
# 1
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M1
PARAMS
4.0M
# 1
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M3
Accuracy (%)
94.1
# 2
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M3
FLOPS
471M
# 3
Neural Architecture Search
Oxford-IIIT Pet Dataset
NAT-M3
PARAMS
5.7M
# 3
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M4
Accuracy
94.3
# 6
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M4
Top-1 Error Rate
5.7%
# 4
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M4
PARAMS
8.5M
# 19
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M4
FLOPS
744M
# 19
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M3
Accuracy
94.1
# 8
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M3
Top-1 Error Rate
5.9%
# 6
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M3
PARAMS
5.7M
# 18
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M3
FLOPS
471M
# 18
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M2
Accuracy
93.5
# 9
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M2
Top-1 Error Rate
6.5%
# 8
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M2
PARAMS
5.5M
# 17
Fine-Grained Image Classification
Oxford-IIIT Pets
NAT-M2
FLOPS
306M
# 17
Fine-Grained Image Classification
Stanford Cars
NAT-M3
Accuracy
92.6%
# 72
Fine-Grained Image Classification
Stanford Cars
NAT-M3
FLOPS
289M
# 81
Fine-Grained Image Classification
Stanford Cars
NAT-M3
PARAMS
3.5M
# 75
Fine-Grained Image Classification
Stanford Cars
NAT-M4
Accuracy
92.9%
# 68
Fine-Grained Image Classification
Stanford Cars
NAT-M4
FLOPS
369M
# 82
Fine-Grained Image Classification
Stanford Cars
NAT-M4
PARAMS
3.7M
# 76
Neural Architecture Search
Stanford Cars
NAT-M4
Accuracy (%)
92.9
# 1
Neural Architecture Search
Stanford Cars
NAT-M4
FLOPS
369M
# 4
Neural Architecture Search
Stanford Cars
NAT-M4
PARAMS
3.7M
# 4
Fine-Grained Image Classification
Stanford Cars
NAT-M1
Accuracy
90.9%
# 77
Fine-Grained Image Classification
Stanford Cars
NAT-M1
FLOPS
165M
# 79
Fine-Grained Image Classification
Stanford Cars
NAT-M1
PARAMS
2.4M
# 73
Fine-Grained Image Classification
Stanford Cars
NAT-M2
Accuracy
92.2%
# 75
Fine-Grained Image Classification
Stanford Cars
NAT-M2
FLOPS
222M
# 80
Fine-Grained Image Classification
Stanford Cars
NAT-M2
PARAMS
2.7M
# 74
Neural Architecture Search
Stanford Cars
NAT-M1
Accuracy (%)
90.0
# 4
Neural Architecture Search
Stanford Cars
NAT-M1
FLOPS
165M
# 1
Neural Architecture Search
Stanford Cars
NAT-M1
PARAMS
2.4M
# 1
Neural Architecture Search
Stanford Cars
NAT-M2
Accuracy (%)
92.2
# 3
Neural Architecture Search
Stanford Cars
NAT-M2
FLOPS
222M
# 2
Neural Architecture Search
Stanford Cars
NAT-M2
PARAMS
2.7M
# 2
Neural Architecture Search
Stanford Cars
NAT-M3
Accuracy (%)
92.6
# 2
Neural Architecture Search
Stanford Cars
NAT-M3
FLOPS
289M
# 3
Neural Architecture Search
Stanford Cars
NAT-M3
PARAMS
3.5M
# 3
Image Classification
STL-10
NAT-M3
Percentage correct
97.8
# 11
Image Classification
STL-10
NAT-M3
FLOPS
436M
# 116
Image Classification
STL-10
NAT-M3
PARAMS
7.5M
# 115
Neural Architecture Search
STL-10
NAT-M2
Accuracy (%)
97.2
# 3
Neural Architecture Search
STL-10
NAT-M2
FLOPS
303M
# 2
Neural Architecture Search
STL-10
NAT-M2
PARAMS
5.1M
# 2
Image Classification
STL-10
NAT-M2
Percentage correct
97.2
# 13
Image Classification
STL-10
NAT-M2
FLOPS
303M
# 115
Image Classification
STL-10
NAT-M2
PARAMS
5.1M
# 114
Neural Architecture Search
STL-10
NAT-M3
Accuracy (%)
97.8
# 2
Neural Architecture Search
STL-10
NAT-M3
FLOPS
436M
# 3
Neural Architecture Search
STL-10
NAT-M3
PARAMS
7.5M
# 3
Image Classification
STL-10
NAT-M1
Percentage correct
96.7
# 15
Image Classification
STL-10
NAT-M1
FLOPS
240M
# 114
Image Classification
STL-10
NAT-M1
PARAMS
4.4M
# 113
Image Classification
STL-10
NAT-M4
Percentage correct
97.9
# 10
Image Classification
STL-10
NAT-M4
FLOPS
573M
# 117
Image Classification
STL-10
NAT-M4
PARAMS
7.5M
# 115
Neural Architecture Search
STL-10
NAT-M4
Accuracy (%)
97.9
# 1
Neural Architecture Search
STL-10
NAT-M4
FLOPS
573M
# 4
Neural Architecture Search
STL-10
NAT-M4
PARAMS
7.5M
# 3
Neural Architecture Search
STL-10
NAT-M1
Accuracy (%)
96.7
# 4
Neural Architecture Search
STL-10
NAT-M1
FLOPS
240M
# 1
Neural Architecture Search
STL-10
NAT-M1
PARAMS
4.4M
# 1