Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning

@article{Wortsman2018LearningTL,
  title={Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning},
  author={Mitchell Wortsman and Kiana Ehsani and Mohammad Rastegari and Ali Farhadi and Roozbeh Mottaghi},
  journal={CoRR},
  year={2018},
  volume={abs/1812.00971}
}
Learning is an inherently continuous phenomenon. When humans learn a new task there is no explicit distinction between training and inference. As we learn a task, we keep learning about it while performing the task. What we learn and how we learn it varies during different stages of learning. Learning how to learn and adapt is a key property that enables us to generalize effortlessly to new settings. This is in contrast with conventional settings in machine learning where a trained model is… CONTINUE READING
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