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Found 3 papers, 1 papers with code
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
Therefore, the critical issue in utilizing predictors for NAS is to train a high-performance predictor using as few trained neural networks as possible.
Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network
In our work, we present Auto-CASH, a pre-trained model based on meta-learning, to solve the CASH problem more efficiently.
Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem
In many fields, a mass of algorithms with completely different hyperparameters have been developed to address the same type of problems.
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