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Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest
  Neighbor Search

Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search

8 May 2022
H. Simhadri
G. Williams
Martin Aumüller
Matthijs Douze
Artem Babenko
Dmitry Baranchuk
Qi Chen
Lucas Hosseini
Ravishankar Krishnaswamy
Gopal Srinivasa
Suhas Jayaram Subramanya
Jingdong Wang
    NAI
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Papers citing "Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search"

27 / 27 papers shown
Title
Machine learning and high dimensional vector search
Matthijs Douze
75
0
0
24 Feb 2025
Scalable k-Means Clustering for Large k via Seeded Approximate Nearest-Neighbor Search
Jack Spalding-Jamieson
Eliot Wong Robson
D. Zheng
83
0
0
10 Feb 2025
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
Daniel de Souza Severo
Giuseppe Ottaviano
Matthew Muckley
Karen Ullrich
Matthijs Douze
MQ
56
0
0
16 Jan 2025
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
Théophane Vallaeys
Matthew Muckley
Jakob Verbeek
Matthijs Douze
MQ
50
2
0
06 Jan 2025
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor
  Search
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
Elias Jääsaari
Ville Hyvönen
Teemu Roos
23
0
0
24 Oct 2024
DIMS: Distributed Index for Similarity Search in Metric Spaces
DIMS: Distributed Index for Similarity Search in Metric Spaces
Yifan Zhu
Chengyang Luo
Tang Qian
Lu Chen
Yunjun Gao
Baihua Zheng
41
0
0
07 Oct 2024
Results of the Big ANN: NeurIPS'23 competition
Results of the Big ANN: NeurIPS'23 competition
H. Simhadri
Martin Aumüller
Amir Ingber
Matthijs Douze
G. Williams
...
Yizhuo Chen
W. J. Zheng
Zihao Wan
Jie Yin
Ben Huang
36
5
0
25 Sep 2024
DREW : Towards Robust Data Provenance by Leveraging Error-Controlled
  Watermarking
DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking
Mehrdad Saberi
Vinu Sankar Sadasivan
Arman Zarei
Hessam Mahdavifar
S. Feizi
48
1
0
05 Jun 2024
Optimistic Query Routing in Clustering-based Approximate Maximum Inner
  Product Search
Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search
Sebastian Bruch
Aditya Krishnan
F. M. Nardini
34
2
0
20 May 2024
SOAR: Improved Indexing for Approximate Nearest Neighbor Search
SOAR: Improved Indexing for Approximate Nearest Neighbor Search
Philip Sun
David Simcha
Dave Dopson
Ruiqi Guo
Sanjiv Kumar
24
5
0
31 Mar 2024
Vector search with small radiuses
Vector search with small radiuses
Gergely Szilvasy
Pierre-Emmanuel Mazaré
Matthijs Douze
50
1
0
16 Mar 2024
Theoretical and Empirical Analysis of Adaptive Entry Point Selection for
  Graph-based Approximate Nearest Neighbor Search
Theoretical and Empirical Analysis of Adaptive Entry Point Selection for Graph-based Approximate Nearest Neighbor Search
Yutaro Oguri
Yusuke Matsui
36
0
0
07 Feb 2024
Residual Quantization with Implicit Neural Codebooks
Residual Quantization with Implicit Neural Codebooks
Iris A. M. Huijben
Matthijs Douze
Matthew Muckley
Ruud J. G. van Sloun
Jakob Verbeek
MQ
34
11
0
26 Jan 2024
BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single
  GPU
BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU
V. Karthik
Saim Khan
Somesh Singh
H. Simhadri
Jyothi Vedurada
GNN
27
8
0
20 Jan 2024
The Faiss library
The Faiss library
Matthijs Douze
Alexandr Guzhva
Chengqi Deng
Jeff Johnson
Gergely Szilvasy
Pierre-Emmanuel Mazaré
Maria Lomeli
Lucas Hosseini
Hervé Jégou
46
147
0
16 Jan 2024
Simple, Scalable and Effective Clustering via One-Dimensional
  Projections
Simple, Scalable and Effective Clustering via One-Dimensional Projections
Moses Charikar
Monika Henzinger
Lunjia Hu
Maximilian Vötsch
Erik Waingarten
29
2
0
25 Oct 2023
CAGRA: Highly Parallel Graph Construction and Approximate Nearest
  Neighbor Search for GPUs
CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs
Hiroyuki Ootomo
Akira Naruse
Corey J. Nolet
Ray Wang
Tamas B. Fehér
Yuanbo Wang
GNN
38
20
0
29 Aug 2023
DeDrift: Robust Similarity Search under Content Drift
DeDrift: Robust Similarity Search under Content Drift
Dmitry Baranchuk
Matthijs Douze
Yash Upadhyay
I. Z. Yalniz
29
8
0
05 Aug 2023
A Near-Linear Time Algorithm for the Chamfer Distance
A Near-Linear Time Algorithm for the Chamfer Distance
Ainesh Bakshi
Piotr Indyk
Rajesh Jayaram
Sandeep Silwal
Erik Waingarten
17
5
0
06 Jul 2023
AdANNS: A Framework for Adaptive Semantic Search
AdANNS: A Framework for Adaptive Semantic Search
Aniket Rege
Aditya Kusupati
S. SharanRanjit
Alan Fan
Qingqing Cao
Sham Kakade
Prateek Jain
Ali Farhadi
38
5
0
30 May 2023
ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate
  Nearest Neighbor Search Algorithms
ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms
Magdalen Dobson Manohar
Zheqi Shen
G. Blelloch
Laxman Dhulipala
Yan Gu
H. Simhadri
Yihan Sun
GNN
28
19
0
07 May 2023
Similarity search in the blink of an eye with compressed indices
Similarity search in the blink of an eye with compressed indices
Cecilia Aguerrebere
Ishwar Bhati
Mark Hildebrand
Mariano Tepper
Ted Willke
23
29
0
07 Apr 2023
Odyssey: A Journey in the Land of Distributed Data Series Similarity
  Search
Odyssey: A Journey in the Land of Distributed Data Series Similarity Search
Manos Chatzakis
P. Fatourou
Eleftherios Kosmas
Themis Palpanas
Botao Peng
AI4TS
20
21
0
26 Jan 2023
Custom 8-bit floating point value format for reducing shared memory bank
  conflict in approximate nearest neighbor search
Custom 8-bit floating point value format for reducing shared memory bank conflict in approximate nearest neighbor search
Hiroyuki Ootomo
Akira Naruse
18
1
0
17 Jan 2023
Automating Nearest Neighbor Search Configuration with Constrained
  Optimization
Automating Nearest Neighbor Search Configuration with Constrained Optimization
Philip Sun
Ruiqi Guo
Surinder Kumar
33
7
0
04 Jan 2023
Two Is Better Than One: Dual Embeddings for Complementary Product
  Recommendations
Two Is Better Than One: Dual Embeddings for Complementary Product Recommendations
Giorgi Kvernadze
P. A. Sudyanti
N. Subedi
Mohammadtaghi Hajiaghayi
30
2
0
28 Nov 2022
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution
  Queries
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries
Shikhar Jaiswal
Ravishankar Krishnaswamy
Ankit Garg
H. Simhadri
Sheshansh Agrawal
26
23
0
22 Oct 2022
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