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arXiv · 2303.00721

Bootstrapping Parallel Anchors for Relative Representations

Irene Cannistraci·Luca Moschella·Valentino Maiorca·Marco Fumero·Antonio Norelli·Emanuele Rodolà
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Abstract

The use of relative representations for latent embeddings has shown potential in enabling latent space communication and zero-shot model stitching across a wide range of applications. Nevertheless, relative representations rely on a certain amount of parallel anchors to be given as input, which can be impractical to obtain in certain scenarios. To overcome this limitation, we propose an optimization-based method to discover new parallel anchors from a limited known set (seed). Our approach can be used to find semantic correspondence between different domains, align their relative spaces, and achieve competitive results in several tasks.

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Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà. 2023-03-01. Bootstrapping Parallel Anchors for Relative Representations. https://arxiv.org/abs/2303.00721

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