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Unsupervised Neural Quantization for Compressed-Domain Similarity Search

Unsupervised Neural Quantization for Compressed-Domain Similarity Search

11 August 2019
S. Morozov
Artem Babenko
ArXivPDFHTML

Papers citing "Unsupervised Neural Quantization for Compressed-Domain Similarity Search"

5 / 5 papers shown
Title
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
46
0
0
16 Jan 2025
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
30
148
0
16 Jan 2024
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
Hao Wu
Wei Xion
Fan Xu
Xian-Sheng Hua
C. L. Philip Chen
Xiansheng Hua
AI4TS
26
27
0
19 May 2023
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
19
23
0
22 Oct 2022
Quasi-hyperbolic momentum and Adam for deep learning
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
76
129
0
16 Oct 2018
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