This repository is the official implementation for our ICLR 2023 Spotlight paper:
Few-Shot Domain Adaptation For End-to-End Communication
Jayaram Raghuram, Yijing Zeng, Dolores Garcia Marti, Rafael Ruiz Ortiz, Somesh Jha,
Joerg Widmer, Suman Banerjee
OpenReview link: https://openreview.net/forum?id=-i0yq60xf8
Arxiv link: https://arxiv.org/abs/2108.00874
The code has been tested on a Ubuntu 18.04 Linux server and a Python 3.7.12 environment. A Conda environment was created with the following packages:
- numpy - 1.21.5
- scipy - 1.7.3
- tensorflow - 2.7.0
- tensorflow-probability - 0.15.0
- scikit-learn - 1.0.2
- matplotlib - 3.5.1
- jupyter - 1.0.0
Please cite our work if you use the codebase:
@inproceedings{
raghuram2023fewshot,
title={Few-Shot Domain Adaptation For End-to-End Communication},
author={Jayaram Raghuram and Yijing Zeng and Dolores Garcia Marti and Rafael Ruiz Ortiz and Somesh Jha and Joerg Widmer and Suman Banerjee},
booktitle={International Conference on Learning Representations},
year={2023},
url={https://openreview.net/forum?id=-i0yq60xf8}
}
Please refer to the LICENSE.