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Found 3 papers, 2 papers with code
Probabilistic Model-Based Dynamic Architecture Search
The experimental results show that the proposed architecture search method is fast and can achieve comparable performance to the existing methods.
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters
Building the benchmark dataset for joint optimization of architecture and training hyperparameters is essential to further NAS research.
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
It accepts arbitrary search space (widely-applicable) and enables to employ a gradient-based simultaneous optimization of weights and architecture (fast).
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