What is recorded here?
Uses a reinforcement-learned controller to sample subgraphs of a shared computation graph, alternating controller validation rewards with shared-weight training to reduce repeated child-model training.
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Scientific scope
A learned controller selected network subgraphs using validation rewards; human authors defined the shared model, training procedure and tests. Shared-weight validation is a proxy for independently retrained performance; selected architectures are retrained from scratch. Reported search-cost factors do not mean zero search/final-training cost or globally optimal architectures. Pham and Guan are equal contributors.
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People and systems
Hieu Pham; Melody Y. Guan; Barret Zoph; Quoc V. Le; Jeff Dean
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ENAS policy-gradient controller · Not recorded: research execution is source-reported, not provider-attested · Not applicable: no language-model version identified for this search
A learned controller selected network subgraphs using validation rewards; human authors defined the shared model, training procedure and tests.. Source-reported attribution; provider attestation is unavailable.
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English catalogue narrative
ENAS shared-parameter neural architecture search
Uses a reinforcement-learned controller to sample subgraphs of a shared computation graph, alternating controller validation rewards with shared-weight training to reduce repeated child-model training.
Scientific scope
A learned controller selected network subgraphs using validation rewards; human authors defined the shared model, training procedure and tests. Shared-weight validation is a proxy for independently retrained performance; selected architectures are retrained from scratch. Reported search-cost factors do not mean zero search/final-training cost or globally optimal architectures. Pham and Guan are equal contributors.
People and systems
Hieu Pham; Melody Y. Guan; Barret Zoph; Quoc V. Le; Jeff Dean
ENAS policy-gradient controller / Not recorded: research execution is source-reported, not provider-attested / Not applicable: no language-model version identified for this search: A learned controller selected network subgraphs using validation rewards; human authors defined the shared model, training procedure and tests. (source reported).