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Found 3 papers, 1 papers with code
Dynamic Network selection for the Object Detection task: why it matters and what we (didn't) achieve
We benchmarked different neural networks to find the optimal detector for the well-known COCO 17 database, and we demonstrate that even if we only consider the quality of the prediction there is not a single optimal network.
A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations
Researchers proposed several techniques to search in the space of compiler optimisations.
Distributed, Parallel, and Cluster Computing Performance
A Survey on Compiler Autotuning using Machine Learning
Since the mid-1990s, researchers have been trying to use machine-learning based approaches to solve a number of different compiler optimization problems.
