Designing Network Design Spaces
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- Type
- preprint
- Published
- 2020-03-30
- Cited by
- 2,228
- References
- 38
- Access
- Open access
- OpenAlex
- https://openalex.org/W3016265891
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:214714446
Keywords
Computer science, Simple (philosophy), Network planning and design, Space (punctuation), Parametrization (atmospheric modeling)
References
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- Improved Regularization of Convolutional Neural Networks with Cutout
- Squeeze-and-Excitation Networks
- Searching for Activation Functions
- Progressive Neural Architecture Search
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- Towards GPU Utilization Prediction for Cloud Deep Learning
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- What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
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- Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
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- S3NAS: Fast NPU-aware Neural Architecture Search Methodology