Actively Seeking and Learning from Live Data

@article{Teney2019ActivelySA,
  title={Actively Seeking and Learning from Live Data},
  author={Damien Teney and Anton van den Hengel},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.02865}
}
One of the key limitations of traditional machine learning methods is their requirement for training data that exemplifies all the information to be learned. This is a particular problem for visual question answering methods, which may be asked questions about virtually anything. The approach we propose is a step toward overcoming this limitation by searching for the information required at test time. The resulting method dynamically utilizes data from an external source, such as a large set of… CONTINUE READING
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