ProxylessNAS
E899018
ProxylessNAS is a neural architecture search method that directly optimizes neural network architectures on target tasks and hardware without relying on proxy models, enabling efficient and hardware-aware network design.
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
NAS algorithm
ⓘ
deep learning technique ⓘ neural architecture search method ⓘ |
| aimsTo |
directly optimize architectures on target hardware
ⓘ
directly optimize architectures on target tasks ⓘ |
| codeAvailability | open source implementation ⓘ |
| comparedWith |
AmoebaNet
NERFINISHED
ⓘ
DARTS NERFINISHED ⓘ NASNet NERFINISHED ⓘ |
| doesNotUse |
proxy networks
ⓘ
proxy tasks ⓘ |
| evaluatedOn | ImageNet NERFINISHED ⓘ |
| field |
computer vision
ⓘ
machine learning ⓘ |
| fullName | Proxyless Neural Architecture Search NERFINISHED ⓘ |
| handles | discrete architecture choices via relaxation ⓘ |
| hardwarePlatform |
CPUs
ⓘ
GPUs ⓘ mobile phones ⓘ |
| improvesOn |
deployment realism
ⓘ
search efficiency ⓘ |
| keyIdea |
jointly consider accuracy and hardware efficiency
ⓘ
remove proxy gap between search and deployment ⓘ |
| latencyModel | measured on real hardware ⓘ |
| objective |
learn architecture parameters
ⓘ
learn network weights ⓘ |
| optimizedFor |
target hardware
ⓘ
target tasks ⓘ |
| proposedBy |
Han Cai
NERFINISHED
ⓘ
Ligeng Zhu NERFINISHED ⓘ Song Han NERFINISHED ⓘ |
| publicationYear | 2019 ⓘ |
| publishedIn | International Conference on Learning Representations NERFINISHED ⓘ |
| relatedTo |
efficient deep learning
ⓘ
model compression ⓘ neural architecture search NERFINISHED ⓘ |
| searchSpace |
ResNet-like architectures
ⓘ
mobile CNN architectures ⓘ |
| searchStrategy | differentiable NAS ⓘ |
| supports | hardware-aware neural architecture search ⓘ |
| targetMetric |
FLOPs
ⓘ
accuracy ⓘ latency ⓘ model size ⓘ |
| uses |
gradient-based optimization
ⓘ
path-level binarization ⓘ stochastic binary gates ⓘ |
Referenced by (1)
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