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"Learning to learn by gradient descent by gradient descent" https://arxiv.org/abs/1606.04474 https://arxiv.org/abs/1606.04474

• lucidrains 10y ago
  Other equally exciting papers that relates to learning to learn in DL. "Neural Architecture Search with Reinforcement Learning" https://arxiv.org/abs/1611.01578 https://arxiv.org/abs/1611.01578 "RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning" https://arxiv.org/abs/1611.02779 https://arxiv.org/abs/1611.02779 "Designing Neural Network Architectures using Reinforcement Learning" https://arxiv.org/abs/1611.02167 https://arxiv.org/abs/1611.02167
  • ericjang 10y ago
    another one: Hyper-Networks https://arxiv.org/abs/1609.09106 https://arxiv.org/abs/1609.09106 and a blog post to go with it: http://blog.otoro.net/2016/09/28/hyper-networks/ http://blog.otoro.net/2016/09/28/hyper-networks/
    • lucidrains 10y ago
      This is why I love hackernews. Reading this tonight, thanks Eric :)
  • spacehacker 10y ago
    Another one: 'Learning to reinforcement learn' https://arxiv.org/abs/1611.05763 https://arxiv.org/abs/1611.05763