A Meta-Learning Approach to One-Step Active-Learning

@inproceedings{Contardo2017AMA,
  title={A Meta-Learning Approach to One-Step Active-Learning},
  author={Gabriella Contardo and Ludovic Denoyer and Thierry Arti{\`e}res},
  booktitle={AutoML@PKDD/ECML},
  year={2017}
}
We consider the problem of learning when obtaining the training labels is costly, which is usually tackled in the literature using active-learning techniques. These approaches provide strategies to choose the examples to label before or during training. These strategies are usually based on heuristics or even theoretical measures, but are not learned as they are directly used during training. We design a model which aims at learning active-learning strategies using a meta-learning setting. More… CONTINUE READING
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