SwapVAE

PyTorch implementation of "Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity" (NeurIPS 2021 oral).

Code contributors

• Ran Liu (Maintainer), github: ranliu98

• Mehdi Azabou , github: mazabou

Citation

If you find the code useful for your research, please consider citing our work:

@inproceedings{liu2021drop,
  title={Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity},
  author={Liu, Ran and Azabou, Mehdi and Dabagia, Max and Lin, Chi-Heng and Azar, Mohammad Gheshlaghi and Hengen, Keith B and Valko, Michal and Dyer, Eva L},
  booktitle={Thirty-Fifth Conference on Neural Information Processing Systems},
  year={2021}
}

AND myow

@misc{azabou2021view,
      title={Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction}, 
      author={Mehdi Azabou and Mohammad Gheshlaghi Azar and Ran Liu and Chi-Heng Lin and Erik C. Johnson 
              and Kiran Bhaskaran-Nair and Max Dabagia and Keith B. Hengen and William Gray-Roncal 
              and Michal Valko and Eva L. Dyer},
      year={2021},
      eprint={2102.10106},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}