Billion-scale similarity search with GPUs

Johnson, Jeff, Douze, Matthijs, Jegou, Herve·2021·IEEE Transactions on Big Data
DOI 10.1109/tbdata.2019.2921572

Cited by (1,030)

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  28. Joint Verification and Reranking for Open Fact Checking Over Tables
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  79. Improving zero-shot retrieval using dense external expansion
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  80. Memento 3.0: An Enhanced Lifelog Search Engine for LSC’23
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  82. RobustiQ
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  83. Defending Against Adversarial Examples with K-Nearest Neighbor
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