FX-DARTS removes cell-topology and two-input discretization priors from DARTS and stabilizes the enlarged search space with entropy-based super-network shrinking, achieving 76.4% top-1 ImageNet accuracy.
A survey of the usages of deep learning for natural language processing,
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FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking
FX-DARTS removes cell-topology and two-input discretization priors from DARTS and stabilizes the enlarged search space with entropy-based super-network shrinking, achieving 76.4% top-1 ImageNet accuracy.