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Billion-scale similarity search with GPUs

Billion-scale similarity search with GPUs

IEEE Transactions on Big Data (TBD), 2017
28 February 2017
Jeff Johnson
Matthijs Douze
Edouard Grave
ArXiv (abs)PDFHTML

Papers citing "Billion-scale similarity search with GPUs"

14 / 2,114 papers shown
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Hendrik Strobelt
Sebastian Gehrmann
M. Behrisch
Adam Perer
Hanspeter Pfister
Alexander M. Rush
VLMHAI
226
252
0
25 Apr 2018
End-to-End Supervised Product Quantization for Image Search and
  Retrieval
End-to-End Supervised Product Quantization for Image Search and Retrieval
Benjamin Klein
Lior Wolf
MQ
100
71
0
23 Nov 2017
Parallel Accelerated Custom Correlation Coefficient Calculations for
  Genomics Applications
Parallel Accelerated Custom Correlation Coefficient Calculations for Genomics Applications
W. Joubert
J. Nance
S. Climer
Deborah A. Weighill
Daniel A. Jacobson
77
13
0
23 May 2017
Efficient Large-scale Approximate Nearest Neighbor Search on the GPU
Efficient Large-scale Approximate Nearest Neighbor Search on the GPUComputer Vision and Pattern Recognition (CVPR), 2016
P. Wieschollek
Oliver Wang
A. Sorkine-Hornung
Hendrik P. A. Lensch
75
62
0
20 Feb 2017
Polysemous codes
Polysemous codes
Matthijs Douze
Edouard Grave
Florent Perronnin
MQ
131
58
0
07 Sep 2016
Deep Image Retrieval: Learning global representations for image search
Deep Image Retrieval: Learning global representations for image search
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
319
830
0
05 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.6K
216,574
0
10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
1.1K
9,542
0
01 Oct 2015
Improving Bilayer Product Quantization for Billion-Scale Approximate
  Nearest Neighbors in High Dimensions
Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions
Artem Babenko
Victor Lempitsky
MQ
136
24
0
07 Apr 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
519
5,053
0
23 Mar 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Multi-scale Orderless Pooling of Deep Convolutional Activation FeaturesEuropean Conference on Computer Vision (ECCV), 2014
Yunchao Gong
Liwei Wang
Ruiqi Guo
Svetlana Lazebnik
414
1,108
0
07 Mar 2014
Fundamental Limits of Online and Distributed Algorithms for Statistical
  Learning and Estimation
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and EstimationNeural Information Processing Systems (NeurIPS), 2013
Ohad Shamir
435
110
0
14 Nov 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their CompositionalityNeural Information Processing Systems (NeurIPS), 2013
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
816
34,715
0
16 Oct 2013
Searching in one billion vectors: re-rank with source coding
Searching in one billion vectors: re-rank with source codingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011
Edouard Grave
R. Tavenard
Matthijs Douze
Laurent Amsaleg
322
350
0
18 Feb 2011
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