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Found 2 papers, 2 papers with code
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
To tackle such limitations of existing NAS methods, we propose a paradigm shift from NAS to a novel conditional Neural Architecture Generation (NAG) framework based on diffusion models, dubbed DiffusionNAG.
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
Previous DaNAS methods have mostly tackled the search for the neural architecture for fixed datasets and the teacher, which are not generalized well on a new task consisting of an unseen dataset and an unseen teacher, thus need to perform a costly search for any new combination of the datasets and the teachers.
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