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News/Similarity search generalisation in contrastive learning with InfoNCE loss
arxiv
PublishedJuly 13, 2026 at 4:00 AM
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Similarity search generalisation in contrastive learning with InfoNCE loss

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arXiv:2607.09405v1 Announce Type: new Abstract: Similarity search is a primary application of embedding models trained by contrastive learning. For one of the most popular contrastive learning loss functions, InfoNCE, we show that the population risk with $k$ negative samples is $O(1/k)$ close to an

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