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Hashing as Tie-Aware Learning to Rank
23 May 2017
Kun He
Fatih Çakir
Sarah Adel Bargal
Stan Sclaroff
FedML
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Papers citing
"Hashing as Tie-Aware Learning to Rank"
16 / 16 papers shown
Title
Hashing with Mutual Information
Fatih Çakir
Kun He
Sarah Adel Bargal
Stan Sclaroff
SSL
54
101
0
02 Mar 2018
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou
R. Zemel
R. Urtasun
63
238
0
09 Jul 2017
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
117
923
0
23 Jun 2017
MIHash: Online Hashing with Mutual Information
Fatih Çakir
Kun He
Sarah Adel Bargal
Stan Sclaroff
50
97
0
27 Mar 2017
HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao
Mingsheng Long
Jianmin Wang
Philip S. Yu
77
619
0
02 Feb 2017
Deep Supervised Hashing with Triplet Labels
Xiaofang Wang
Yi Shi
Kris Kitani
73
206
0
12 Dec 2016
Learning Deep Embeddings with Histogram Loss
E. Ustinova
Victor Lempitsky
117
351
0
02 Nov 2016
How should we evaluate supervised hashing?
Alexandre Sablayrolles
Matthijs Douze
Hervé Jégou
Nicolas Usunier
49
87
0
21 Sep 2016
Fast Training of Triplet-based Deep Binary Embedding Networks
Bohan Zhuang
Guosheng Lin
Chunhua Shen
Ian Reid
MQ
61
114
0
09 Mar 2016
Structured Learning of Binary Codes with Column Generation
Guosheng Lin
Fayao Liu
Chunhua Shen
Jianxin Wu
Heng Tao Shen
66
8
0
22 Feb 2016
Training Deep Neural Networks via Direct Loss Minimization
Yang Song
Alex Schwing
R. Zemel
R. Urtasun
68
102
0
19 Nov 2015
Feature Learning based Deep Supervised Hashing with Pairwise Labels
Wu-Jun Li
Sheng Wang
Wang-Cheng Kang
73
657
0
12 Nov 2015
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
F. Zhao
Yongzhen Huang
Liang Wang
Tieniu Tan
87
610
0
26 Jan 2015
Hashing for Similarity Search: A Survey
Jingdong Wang
Heng Tao Shen
Jingkuan Song
Jianqiu Ji
73
556
0
13 Aug 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
221
3,418
0
14 May 2014
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
Guosheng Lin
Chunhua Shen
Javen Qinfeng Shi
Anton Van Den Hengel
David Suter
76
419
0
06 Apr 2014
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