Implementation of neural k nearest neighbor in pytorch, a differentiable replacement for kNN.
pip install git+ssh://[email protected]/dominiquegarmier/neural-nearest-neighbor
and for development:
pip install -r requirements-dev.txt
When using value
you have to make some additional assumtions to get the same convergence conditions as outlined in the paper.
Notably you have to assume that there exists some continous
@misc{plötz2018neural,
title={Neural Nearest Neighbors Networks},
author={Tobias Plötz and Stefan Roth},
year={2018},
eprint={1810.12575},
archivePrefix={arXiv},
primaryClass={cs.CV}
}