Search Results for author:
Found 3 papers, 0 papers with code
Surprisingly Strong Performance Prediction with Neural Graph Features
Performance prediction has been a key part of the neural architecture search (NAS) process, allowing to speed up NAS algorithms by avoiding resource-consuming network training.
Evolving Non-linear Stacking Ensembles for Prediction of Go Player Attributes
The paper presents an application of non-linear stacking ensembles for prediction of Go player attributes.
Evaluating Go Game Records for Prediction of Player Attributes
We propose a way of extracting and aggregating per-move evaluations from sets of Go game records.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
