Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
In this paper, we propose a Shapley value based method to evaluate operation contribution (Shapley-NAS) for neural architecture search. Differentiable architecture search (DARTS) acquires the optimal architectures by optimizing the architecture parameters with gradient descent, which significantly reduces the search cost. However, the magnitude of architecture parameters updated by gradient …