Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/alro10/meta-learning-resources

A curated list of meta-learning resources: papers, coding, tutorials, etc.
https://github.com/alro10/meta-learning-resources

deep-reinforcement-learning meta-learning reinforcement-learning

Last synced: about 1 month ago
JSON representation

A curated list of meta-learning resources: papers, coding, tutorials, etc.

Awesome Lists containing this project

README

        

# Meta-Learning Resources
A curated list of meta-learning papers, code, tutorials, etc.

Under developing!


alt text

*Figure by BAIR Lab*

## [Table of Contents]()

* [Papers](#Papers)
* [Tutorials](#Tutorials)
* [Code](#Resources)

## Papers

### 2019

- [Meta-Learning of Neural Architectures for Few-Shot Learning](https://arxiv.org/pdf/1911.11090.pdf)

- Thomas Elsken, et al.
- not yet

- [Meta-Q-Learning](https://arxiv.org/pdf/1910.00125.pdf)

- Code-not yet
- Rasool Fakoor, et al.

- [Meta-Learning with Implicit Gradients](https://arxiv.org/pdf/1909.04630.pdf) **NeurIPS 2019. First two authors contributed equally**

- Aravind Rajeswaran, Chelsea Finn, Sham Kakade, Sergey Levine.
- Code- not yet

- [Metalearned Neural Memory](https://arxiv.org/abs/1907.09720).

- Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler.
- Code- not yet

- [Meta-Transfer Learning for Few-Shot Learning](https://arxiv.org/abs/1812.02391). **CVPR 2019**

- Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele.
- [[Code-TensorFlow](https://github.com/y2l/meta-transfer-learning-tensorflow)]
- [[Code-Pytorch]([email protected]:Alro10/meta-learning-resources.git)]

- [Meta-learning with differentiable closed-form solvers](https://arxiv.org/abs/1805.08136). **ICLR 2019**

- Luca Bertinetto, João F. Henriques, Philip H.S. Torr, Andrea Vedaldi.
- [[Code](https://github.com/bertinetto/r2d2)]

- [Meta reinforcement learning as task inference](https://arxiv.org/abs/1905.06424). **DeepMind**

- Jan Humplik, Alexandre Galashov, LeonardDeepMind Hasenclever, Pedro A. Ortega, Yee Whye Teh, Nicolas Heess.

### 2018

- [Meta-Reinforcement Learning of Structured Exploration Strategies](https://papers.nips.cc/paper/7776-meta-reinforcement-learning-of-structured-exploration-strategies.pdf). **NeurIPS 2018**

- Abhishek Gupta, Russell Mendonca, YuXuan Liu, Pieter Abbeel, Sergey Levine.

### 2017

- [Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks](https://arxiv.org/abs/1703.03400). **ICML 2017**

- Chelsea Finn, Pieter Abbeel, Sergey Levine.
- [[Code](https://github.com/cbfinn/maml)]

## Code

- [TensorFlow 2.0 implementation of MAML](https://github.com/mari-linhares/tensorflow-maml) by Marianne Linhares.