README.md

Examples

This directory presents concise examples of using higher to re-implement techniques that use unrolled gradients.

Model Agnostic Meta Learning (MAML)

./maml-omniglot.py does few-shot Omniglot classification with MAML. For more details see the original MAML paper. Our MAML++ fork and experiments are available here.

Deep Energy Models

./deep-energy-mnist.py uses SPENs/ICNNS for for MNIST classification. For more details see The original SPEN paper, End-to-End Learning for SPENs, and Input Convex Neural Networks.