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Found 5 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.
ProMap: Datasets for Product Mapping in E-commerce
Therefore, while predictive models trained on these datasets achieve good results on them, in practice, they are unusable as they cannot distinguish very similar but non-matching pairs of products.
Training Electric Vehicle Charging Controllers with Imitation Learning
In order to train the controllers, we use the idea of imitation learning -- we first find an optimum solution for a relaxed version of the problem using quadratic optimization and then train the controllers to imitate this solution.
Online Parallel Portfolio Selection with Heterogeneous Island Model
We present an online parallel portfolio selection algorithm based on the island model commonly used for parallelization of evolutionary algorithms.
Controlling the Charging of Electric Vehicles with Neural Networks
The controllers are based on neural networks and are completely de-centralized, in the sense that the charging current is completely decided by the controller itself.
