A curated list of papers, code and resources pertaining to zero shot learning
A curated list of resources including papers, comparitive results on standard datasets and relevant links pertaining to zero-shot learning.
Contributions are welcome. Please see the issue which lists the things which are planned to be included in this repo. If you wish to contribute within these boundaries, feel free to send a PR. If you have suggestions for new sections to be included, please raise an issue and discuss before sending a PR.
This repository contains a Demo
folder which has a Jupyter Notebook step-by-step code to "An embarrassingly simple approach to zero-shot learning." ICML (2015).
This can be used as an introductory code to obtain the basic understanding of Zero-shot Learning.