# Meta Learning / Few-Shot Learning

Literatures of Meta Learning (元学习) / Few-Shot Learning (小样本学习).

# Other Awesome Lists

# Courses & Tutorials

# Surveys

  • Meta-Learning: A Survey. Joaquin Vanschoren. arXiv 2018. [Paper]

# Blogs & Communities

# Theses

# Talks & Slides

# Approaches

# Gradient-based

  • Learning to Learn by Gradient Descent by Gradient Descent. Marcin Andrychowicz, et al. NIPS 2016. [Paper] [Code]

  • Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. Chelsea Finn, et al. ICML 2017. [Paper] [Code]

  • On First-Order Meta-Learning Algorithms. Alex Nichol, et al. arXiv 2018. [Paper][Code]

  • Meta-Learning with Implicit Gradients. Aravind Rajeswaran, et al. NIPS 2019. [Paper]

# Sechond-order Derivative

# Online

  • Online Learning of a Memory for Learning Rates. Franziska Meier, et al. ICRA 2018. [Paper] [Code]

  • Online Meta-Learning. Chelsea Finn, et al. ICML 2019. [Paper]

# Bayesian

  • Recasting Gradient-Based Meta-Learning as Hierarchical Bayes. Erin Grant, et al. ICLR 2018. [Paper]

  • Bayesian Model-Agnostic Meta-Learning. Taesup Kim, et al. NIPS 2018. [Paper] [Code] [Slide]

  • Probabilistic Model-Agnostic Meta-Learning. Chelsea Finn, et al. arXiv 2018. [Paper]

  • Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. Cuong Nguyen, et al. WACV 2020. [Paper] [Code]

  • Bayesian Online Meta-Learning with Laplace Approximation. Pau Ching Yap, et al. arXiv 2020. [Paper]

# Others

  • Provable Guarantees for Gradient-Based Meta-Learning. Mikhail Khodak, et al. ICML 2019. [Paper] [Code]

# Libraries