Concetti Chiave
Efficiently retrieve similar neural architectures using graph representation learning.
Sintesi
The content introduces the problem of Neural Architecture Retrieval (NAR) to efficiently find similar neural architectures. It proposes a new framework for graph representation learning that considers motifs in neural architectures. Extensive evaluations show the superiority of the proposed algorithm over baselines, leading to the creation of a dataset with 12k real-world network architectures.
Statistiche
"Extensive evaluations on both human-designed and synthesized neural architectures demonstrate the superiority of our algorithm."
"A new dataset with 12k real-world network architectures is built for neural architecture retrieval."