learning-to-learn topic
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Open-L2O
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
PAML
Personalizing Dialogue Agents via Meta-Learning
meta-blocks
A modular toolbox for meta-learning research with a focus on speed and reproducibility.
meta-learning-lstm-pytorch
pytorch implementation of Optimization as a Model for Few-shot Learning
learning-to-learn
Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
L2L
Learning to Learn: Gradient-free Optimization framework
L2-GCN
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
L2O-Training-Techniques
[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
learning-to-learn-by-pytorch
"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.