OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries

22 October 2022

Papers citing "OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries"

9 / 9 papers shown

Title
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval Di Liu Meng Chen Baotong Lu Huiqiang Jiang Zhenhua Han ... K. Zhang C. L. P. Chen Fan Yang Y. Yang Lili Qiu 44 29 0 03 Jan 2025
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search Elias Jääsaari Ville Hyvönen Teemu Roos 16 0 0 24 Oct 2024
RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search Meng Chen Kai Zhang Zhenying He Yinan Jing X. Sean Wang 27 8 0 16 Aug 2024
Theoretical and Empirical Analysis of Adaptive Entry Point Selection for Graph-based Approximate Nearest Neighbor Search Yutaro Oguri Yusuke Matsui 21 0 0 07 Feb 2024
The Faiss library Matthijs Douze Alexandr Guzhva Chengqi Deng Jeff Johnson Gergely Szilvasy Pierre-Emmanuel Mazaré Maria Lomeli Lucas Hosseini Hervé Jégou 30 148 0 16 Jan 2024
LeanVec: Searching vectors faster by making them fit Mariano Tepper Ishwar Bhati Cecilia Aguerrebere Mark Hildebrand Ted Willke VLM OODD 21 1 0 26 Dec 2023
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval Ramnath Kumar Anshul Mittal Nilesh Gupta Aditya Kusupati Inderjit Dhillon Prateek Jain 33 0 0 13 Oct 2023
DeDrift: Robust Similarity Search under Content Drift Dmitry Baranchuk Matthijs Douze Yash Upadhyay I. Z. Yalniz 22 8 0 05 Aug 2023
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 177 465 0 17 Mar 2020