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Approximate Nearest Neighbor Search with Filters

Approximate nearest neighbor search (ANNS) on high-dimensional vectors is a fundamental primitive used widely for search over neural embeddings of unstructured data. Prior work on ANNS has produced indices which provide fast and accurate search on datasets up to billions of points, but are not well suited to queries restricted to some subset of the ...
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Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement

IEEE Transactions on Knowledge and Data Engineering, 2020
Yifang Sun, Mingjie Li, Wenjie Zhang
exaly  

Private Approximate Nearest Neighbor Search with Sublinear Communication

2022 IEEE Symposium on Security and Privacy (SP), 2022
Sacha Servan-Schreiber   +2 more
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Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Yu A Malkov
exaly  

Residual Vector Product Quantization for approximate nearest neighbor search

Expert Systems With Applications, 2023
Lushuai Niu, Zhi Xu, Daojing He
exaly  

ANNA: Specialized Architecture for Approximate Nearest Neighbor Search

2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2022
Yejin Lee 0001   +7 more
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