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Research questions, notes and implementations of meta and transfer learning algorithms.

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learn2learn

A collection of Deep Meta Learning algorithms

Algorithms

  • Learning to learn by gradient descent by gradient descent [1]
  • Learning to learn without gradient descent by gradient descent
  • Neural architecture search with reinforcement learning
  • Learning to reinforcement learn
  • Optimization as a model for few-shot learning
  • Fast reinforcement learning via slow reinforcement learning
  • PathNet

References

[1] https://arxiv.org/abs/1606.04474

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Research questions, notes and implementations of meta and transfer learning algorithms.

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  • Python 97.7%
  • TeX 2.3%