Web: http://arxiv.org/abs/2206.08091

June 17, 2022, 1:12 a.m. | Abrar Fahim, Mohammed Eunus Ali, Muhammad Aamir Cheema

stat.ML updates on arXiv.org arxiv.org

Approximate Nearest Neighbor Search (ANNS) in high dimensional spaces is
crucial for many real-life applications (e.g., e-commerce, web, multimedia,
etc.) dealing with an abundance of data. In this paper, we propose an
end-to-end learning framework that couples the partitioning (one key step of
ANNS) and learning-to-search steps using a custom loss function. A key
advantage of our proposed solution is that it does not require any expensive
pre-processing of the dataset, which is one of the key limitations of the …

arxiv lg partitioning search space unsupervised

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