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DARTS differentiable architecture search

Relaxes discrete operation choices into softmax mixtures and approximates a train/validation bilevel objective with alternating weight and architecture-gradient updates before discretization.

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Relaxes discrete operation choices into softmax mixtures and approximates a train/validation bilevel objective with alternating weight and architecture-gradient updates before discretization.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Gradient-based search selected architectures within a researcher-defined continuous relaxation; human authors designed the method, search space and evaluation. One-step unrolling and finite differences approximate the bilevel gradient. The original explicitly gives no convergence guarantee; the relaxed optimum need not preserve performance after discrete projection.

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People and systems

Hanxiao Liu; Karen Simonyan; Yiming Yang

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DARTS gradient-based architecture search · Not recorded: research execution is source-reported, not provider-attested · Not applicable: no language-model version identified for this search
Gradient-based search selected architectures within a researcher-defined continuous relaxation; human authors designed the method, search space and evaluation.. Source-reported attribution; provider attestation is unavailable.

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English catalogue narrative

DARTS differentiable architecture search

Relaxes discrete operation choices into softmax mixtures and approximates a train/validation bilevel objective with alternating weight and architecture-gradient updates before discretization.

Scientific scope

Gradient-based search selected architectures within a researcher-defined continuous relaxation; human authors designed the method, search space and evaluation. One-step unrolling and finite differences approximate the bilevel gradient. The original explicitly gives no convergence guarantee; the relaxed optimum need not preserve performance after discrete projection.

People and systems

Hanxiao Liu; Karen Simonyan; Yiming Yang

DARTS gradient-based architecture search / Not recorded: research execution is source-reported, not provider-attested / Not applicable: no language-model version identified for this search: Gradient-based search selected architectures within a researcher-defined continuous relaxation; human authors designed the method, search space and evaluation. (source reported).

Original sources