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
Meta Learning. Hung-yi Lee (李宏毅). [Slides: Part 1, Part 2] [Video]
ICML 2019 Tutorial - Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning
Stanford CS330: Deep Multi-Task and Meta Learning. Chelsea Finn. [Video: BiliBili, YouTube] [Homepage]
Generalizing from Few Examples with Meta-Learning. Hugo Larochelle.
Surveys
- Meta-Learning: A Survey. Joaquin Vanschoren. arXiv 2018. [Paper]
Blogs & Communities
Learning to Learn. Chelsea Finn. BAIR blog, 2017.
Learning to Learn Fast. Lilian Weng. 2018. [English] [Chinese]
Meta Reinforcement Learning. Lilian Weng. 2019.
Theses
- Learning to Learn with Gradient. Chelsea Finn. UC Berkeley, 2018. [Thesis]
Talks & Slides
Properties of Good Meta-Learning Algorithms (And How to Achieve Them). Chelsea Finn. ICML 2018 AutoML Workshop.
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
Meta-Learning with Implicit Gradients. Aravind Rajeswaran, et al. NIPS 2019. [Paper] [Re-implementation]
Efficient Meta Learning via Minibatch Proximal Update. Pan Zhou, et al. NIPS 2019. [Paper] [Appendix] [Slide] [Poster] [Code]
Meta-Curvature. Eunbyung Park and Junier B. Oliva. NIPS 2019. [Paper] [Code]
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]