• Corpus ID: 235185409

Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network

@inproceedings{Oladosu2020MetaLearningFO,
  title={Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network},
  author={Ademola Oladosu and Tony Xu and Philip Ekfeldt and Brian A. Kelly and M. Cranmer and Shirley Ho and Adrian. M. Price-Whelan and Gabriella Contardo},
  year={2020}
}
This paper presents a meta-learning framework for few-shots One-Class Classification (OCC) at test-time, a setting where labeled examples are only available for the positive class, and no supervision is given for the negative example. We consider that we have a set of ‘one-class classification’ objective-tasks with only a small set of positive examples available for each task, and a set of training tasks with full supervision (i.e. highly imbalanced classification). We propose an approach using… 

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