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Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.

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lucmos/relreps

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Relative representations enable zero-shot latent space communication

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NN Template

Luca Moschella*, Valentino Maiorca*, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà

* equal contribution

Installation

NN Template Python Code style: black

pip install git+ssh://[email protected]/lucmos/relreps.git

Quickstart

Development installation

Setup the development environment:

git clone [email protected]:lucmos/relreps.git
cd relreps
conda env create -f env.yaml
conda activate relreps
pre-commit install
dvc pull

Refer to the template documentation for an high level overview of the code structure.

Update the dependencies

Re-install the project in edit mode:

pip install -e .[dev]

BibTeX

@inproceedings{
    moschella2023relative,
    title={Relative representations enable zero-shot latent space communication},
    author={Luca Moschella and Valentino Maiorca and Marco Fumero and Antonio Norelli and Francesco Locatello and Emanuele Rodol{\`a}},
    booktitle={The Eleventh International Conference on Learning Representations },
    year={2023},
    url={https://openreview.net/forum?id=SrC-nwieGJ}
}

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Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.

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