Unsupervised Neural Quantization for Compressed-Domain Similarity Search

11 August 2019

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

11 / 11 papers shown

Title
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search Daniel de Souza Severo Giuseppe Ottaviano Matthew Muckley Karen Ullrich Matthijs Douze MQ 78 0 0 16 Jan 2025
The Faiss library Matthijs Douze Alexandr Guzhva Chengqi Deng Jeff Johnson Gergely Szilvasy Pierre-Emmanuel Mazaré Maria Lomeli Lucas Hosseini Hervé Jégou 114 168 0 16 Jan 2024
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 120 28 0 19 May 2023
Quasi-hyperbolic momentum and Adam for deep learning Jerry Ma Denis Yarats ODL 110 129 0 16 Oct 2018
Fast Decoding in Sequence Models using Discrete Latent Variables Łukasz Kaiser Aurko Roy Ashish Vaswani Niki Parmar Samy Bengio Jakob Uszkoreit Noam M. Shazeer 38 231 0 09 Mar 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 161 4,928 0 02 Nov 2017
Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates L. Smith Nicholay Topin AI4CE 71 520 0 23 Aug 2017
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 172 3,696 0 28 Feb 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 111 2,523 0 02 Nov 2016
How should we evaluate supervised hashing? Alexandre Sablayrolles Matthijs Douze Hervé Jégou Nicolas Usunier 42 87 0 21 Sep 2016
Searching in one billion vectors: re-rank with source coding Hervé Jégou R. Tavenard Matthijs Douze Laurent Amsaleg 106 318 0 18 Feb 2011