HyperAI
HyperAI
الرئيسية
المنصة
الوثائق
الأخبار
الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
شروط الخدمة
سياسة الخصوصية
العربية
HyperAI
HyperAI
Toggle Sidebar
البحث في الموقع...
⌘
K
Command Palette
Search for a command to run...
المنصة
الرئيسية
SOTA
بحث هندسة الشبكة العصبية
Neural Architecture Search On Imagenet
Neural Architecture Search On Imagenet
المقاييس
Accuracy
FLOPs
Params
Top-1 Error Rate
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
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
0 of 135 row(s) selected.
Previous
Next
Neural Architecture Search On Imagenet | SOTA | HyperAI