Equation 23 · Shrink It, Train It Small, or Search for It: The Main Strategies for Small Models, Compared
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the budget the target device imposes. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.
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where is a search space of candidate architectures designed in advance by the researchers, g(a) some measured deployment cost of architecture a , and B a budget the target device imposes. Every term in that equation is a documented design choice, and the choice of g turns out to be where the edge-specific literature does its most important work.
Sources cited in the article section
- [7] Neural Architecture Search with Reinforcement Learning ↗
- [8] MnasNet: Platform-Aware Neural Architecture Search for Mobile ↗
- [10] Once for All: Train One Network and Specialize it for Efficient Deployment ↗
- [9] Searching for MobileNetV3 ↗
These citations give research context. Read each source to check which claims it supports.