https://github.com/dragen1860/Meta-Learning-Papers

Latest papers collection of thoughtful work on meta-learning research
https://github.com/dragen1860/Meta-Learning-Papers

Last synced: 18 days ago
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Latest papers collection of thoughtful work on meta-learning research

• Host: GitHub
• URL: https://github.com/dragen1860/Meta-Learning-Papers
• Owner: dragen1860
• License: mit
• Created: 2018-03-30T12:12:01.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-04-01T08:49:41.000Z (over 7 years ago)
• Last Synced: 2025-03-30T14:21:54.972Z (8 months ago)
• Size: 3.91 KB
• Stars: 5
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Meta-Learning-Papers

Latest papers collection of thoughtful work on meta-learning research

- [A Simple Neural Attentive Meta-Learner](https://arxiv.org/abs/1707.03141)

- [Human-level concept learning through probabilistic program induction](http://web.mit.edu/cocosci/Papers/Science-2015-Lake-1332-8.pdf)

- [Meta-SGD: Learning to Learn Quickly for Few Shot Learning](https://arxiv.org/abs/1707.09835)

- [Meta-Learning for Semi-Supervised Few-Shot Classification](https://arxiv.org/abs/1803.00676)

- [Meta-Networks](http://proceedings.mlr.press/v70/munkhdalai17a.html)

- [Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks](https://arxiv.org/abs/1703.03400)

- [Learning to optimize](https://arxiv.org/abs/1606.01885)

- [Optimization as a model for few-shot learning](https://openreview.net/forum?id=rJY0-Kcll)

- [Learned Optimizers that Scale and Generalize](https://arxiv.org/abs/1703.04813)

- [Learning Gradient Descent: Better Generalization and Longer Horizons](https://arxiv.org/abs/1703.03633)