README.md

# FSL_Subspace

Codes for work on few-shot learning on chest x-ray images ([paper](https://openreview.net/pdf?id=AF97JZpgPe)).

Check our [website](https://few-shot-learning-on-chest-x-ray.github.io/Project-Page/) for a brief summary of the paper.

tl;dr : We propose a computationally efficient few-shot learning method for diagnosing chest X-rays, which uses an ensemble of random subspaces and a novel loss function to create well-separated clusters of training data in discriminative subspaces. Our method is almost 1.8 times faster than the popular t-SVD method for subspace decomposition and yields promising results on large-scale CXR datasets.