原文：http://cs.nju.edu.cn/lwj/L2H.html
Table of Content
Learning to Hash Method (Data-Dependent Method)
Introduction
This homepage lists some representative papers about hashing, especially Learning to Hash, for big data applications. If you have any question, feel free to contact Dr. Wu-Jun LI.
Tutorial Slides
The tutorial slides about Learning to Hash, provided by Dr. Wu-Jun LI, can be downloaded from http://cs.nju.edu.cn/lwj/slides/L2H.pdf
Data Independent Method
Similarity Search in High Dimensions via Hashing [paper]
Aristides Gionis, Piotr Indyk and Rajeev Motwani. [
VLDB
], 1999.
Locality-Sensitive Hashing Scheme Based on p-Stable Distributions
[paper]
Mayur Datar, Nicole Immorlica, Piotr Indyk, Vahab S. Mirrokni. [
SCG
], 2004.
Near-Optimal Hashing Algorithms for Approximate Nnearest Neighbor in
High Dimensions. [paper]
Alexandr Andoni and Piotr Indyk. [
Communications of the ACM
], 2008.
Kernelized Locality-Sensitive Hashing for Scalable Image Search [paper]
Brian Kulis and Kristen Grauman. [
ICCV
], 2009.
Fast Similarity Search for Learned Metrics [paper]
Prateek Jain, Brian Kulis and Kristen Grauman. [
TPAMI
], 2009.
Locality-Sensitive Binary Codes from Shift-Invariant Kernels [paper]
Maxim Raginsky and Svetlana Lazebnik. [
NIPS
], 2009.
Hashing Algorithms for Large Scale Learning [paper]
Ping Li, Anshumali Shrivastava, Joshua Moore and Christian Konig. [
NIPS
], 2011.
Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search
. [
]
Anshumali Shrivastava and Ping Li. [
ICML
], 2014
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
. [
]
Anshumali Shrivastava and Ping Li. [
NIPS
], 2014.
0-Bit Consistent Weighted Sampling. [paper]
Ping Li. [
KDD
], 2015
Practical and Optimal LSH for Angular Distance. [paper]
Alexandr Andoni, Piotr Indyk and Thijs Laarhoven. [
NIPS
], 2015
Learning to Hash Method (Data Dependent Method)
Unsupervised Hashing
Spectral Hashing [paper][code]
Yair Weiss, Antonio Torralba and Rob Fergus. [
NIPS
], 2008
Self-Taught Hashing for Fast Similarity Search [paper][code]
Dell Zhang, Jun Wang, Deng Cai and Jinsong Lu. [
SIGIR
], 2010
Hashing with Graphs [paper][code]
Wei Liu, Jun Wang, Sanjiv Kumar and Shih-Fu Chang. [
ICML
], 2011
Iterative Quantization: A Procerustean Approach to Learning Binary
Codes [paper][code]
Yunchao Gong and Svetlana Lazebnik. [
CVPR
], 2011
Isotropic Hashing [paper][code]
Weihao Kong and Wu-Jun Li. [
NIPS
], 2012
Spherical Hashing [paper][C++ code][matlab code][slide]
Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Chang and Sung-Eui Yoon. [
CVPR
], 2012
Harmonious Hashing [paper]
Bin Xu, Jiajun Bu, Yue Lin Chun Chen, Xiaofei He and Deng Cai. [
IJCAI
], 2013
Complementary Projection Hashing [paper]
Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai and Xuelong Li. [
ICCV
], 2013
Inductive Hashing on Manifolds [paper][supplementary][code][poster]
Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel and Zhenmin Tang. [
CVPR
], 2013
Learning Binary Codes for High-Dimensional Data Using Bilinear
Projections [paper][code]
Yunchao Gong, Sanjiv Kumar, Henry A. Rowley and Svetlana Lazebnik. [
CVPR
], 2013
Discrete Graph Hashing [paper]
Wei Liu, Cun Mu, Sanjiv Kumar and Shih-Fu Chang. [
NIPS
], 2014
Circulant Binary Embedding [paper][code][slide]
Felix Xu, Sanjiv Kumar, Yunchao Gong and Shih-Fu Chang. [
ICML
], 2014
Locality Linear Hashing for Extracting Non-Linear Manifolds. [paper][supplementary]
Go Irie, Zhenguo Li and Xiao-Ming Wu and Shih-Fu Chang. [
CVPR
], 2014
Large-Scale Unsupervised Hashing with Shared Structure Learning [paper]
Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li. [
IEEE Transactions on Cybernetics
], 2015
Learning Binary Codes for Maximum Inner Product Search. [paper]
Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, Heng Tao Shen. [
ICCV
], 2015
An NMF perspective on Binary Hashing. [paper]
Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes and Vikas Singh. [
ICCV
], 2015
Scalable Graph Hashing with Feature Transformation. [paper][code]
Qing-Yuan Jiang and Wu-Jun Li. [
IJCAI
], 2015
Supervised Hashing
Semi-Supervised Hashing for Scalable Image Retrieval [paper]
Jun Wang, Sanjiv Kumar, and Shih-Fu Chang. [
CVPR
], 2010
Minimal Loss Hashing for Compact Binary Codes [paper] [code]
Mohammad Norouzi and David M. Blei. [
ICML
], 2011
Supervised Hashing with Kernels [paper][code]
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, and Shih-Fu Chang.[
CVPR
], 2012
LDAHash: Improved Matching with Smaller Descriptors [paper] [code]
Christoph Strecha, Alexander M. Bronstein, Michael M. Bronstein, and Pascal Fua. [
TPAMI
], 2012
A General Two-Step Approach to Learning-based Hashing [paper] [code]
Guosheng Lin, Chunhua Shen, David Suter, and Anton van den Hengel. [
ICCV
], 2013
Supervised binary hash code learning with jensen shannon divergence
[paper]
Lixin Fan. [
ICCV
], 2013
The power of asymmetry in binary hashing [paper] [code]
Behnam Neyshabur, Nati Srebro, Ruslan R. Salakhutdinov, Yury Makarychev, Payman Yadollahpour. [
NIPS
], 2013
Graph cuts for supervised binary coding [paper]
Tiezheng Ge, Kaiming He, and Jian Sun. [
ECCV
], 2014
Fast supervised hashing with decision trees for high-dimensional
data [paper] [code]
Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter. [
CVPR
], 2014
Supervised hashing with latent factor models [paper]
[code]
Peichao Zhang, Wei Zhang, Wu-Jun Li, and Minyi Guo. [
SIGIR
], 2014
Supervised Discrete Hashing [paper] [code]
Fumin Shen, Chunhua Shen, Wei Liu, and Heng Tao Shen. [
CVPR
], 2015
kNN Hashing with Factorized Neighborhood Representation.
[paper]
Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan. [
ICCV
], 2015
Two Birds, One Stone: Jointly Learning Binary Code for Large-scale
Face Image Retrieval and Attributes Prediction [paper]
Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen. [
ICCV
], 2015
Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing. [paper]
Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li. [
Signal Processing
], 2015
Column sampling based discrete supervised hashing. [paper] [code]
Wang-Cheng Kang, Wu-Jun Li and Zhi-Hua Zhou. [
AAAI
], 2016
Ranking-Based Hashing
Hamming Distance Metric Learning [paper] [code]
Mohammad Norouzi, David J. Fleet, Ruslan Salakhutdinov. [
NIPS
], 2012
Learning Hash Functions Using Column Generation [paper][code]
Xi Li, Guosheng Lin,Chunhua Shen,Anton van den Hengel,Anthony Dick. [
ICML
], 2013
Order preserving Hashing for Approximate Nearest Neighbor Search [paper]
Jianfeng Wang, Jingdong Wang, and Nenghai Yu,Shipeng Li. [
ACM MM
], 2013
Learning Hash Codes with Listwise Supervision [paper]
Jun Wang, Wei Liu,Andy X. Sun,Yu-Gang Jiang. [
ICCV
], 2013
Optimizing Ranking Measures for Compact Binary Code Learning [paper]
Guosheng Lin, Chunhua Shen, Jianxin Wu. [
ECCV
], 2014
Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search
[paper][code]
Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang. [
ACM MM
], 2014
Ranking Preserving Hashing for Fast Similarity Search [paper]
Qifan Wang, Zhiwei Zhang,Luo Si. [
IJCAI
], 2015
Top Rank Supervised Binary Coding for Visual Search [paper]
Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith. [
ICCV
], 2015
Multi-Modal Hashing
Composite Hashing with Multiple Information Sources [paper]
Dan Zhang, Fei Wang, Luo Si. [
ACM SIGIR
], 2011
Learning hash functions for cross-view similarity search [paper]
Shaishav Kumar and Raghavendra Udupa. [
IJCAI
], 2011
Co-Regularized Hashing for Multimodal Data [paper]
Yi Zhen and Dit-Yan Yeung. [
NIPS
], 2012
Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous
Data Sources [paper]
Jingkuan Song, Yang Yang, Yi Yang, Zi Huang and Heng Tao Shen. [
SIGMOD
], 2013
Comparing apples to oranges: a scalable solution with heterogeneous
hashing [paper]
Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang. [
KDD
], 2013
Large-scale supervised multimodal hashing with semantic correlation
maximization [paper][code]
Dongqing Zhang and Wu-Jun Li. [
AAAI
], 2014
Collective Matrix Factorization Hashing for Multimodal data [paper]
Guiguang Ding, Yuchen Guo and Jile Zhou.[
CVPR
], 2014
Collaborative Hashing [paper][code]
Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang. [
CVPR
], 2014
Quantized correlation hashing for fast cross-modal search [paper]
Botong Wu, Qiang Yang, Wei-Shi Zheng, Yizhou Wang and Jingdong Wang.[
IJCAI
], 2015
Semantic Topic Multimodal Hashing for Cross-Media Retrieval [paper]
Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He. [
IJCAI
], 2015
Semantics-Preserving Hashing for Cross-View Retrieval [paper]
Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang. [
CVPR
], 2015
Multi-View Complementary Hash Tables for Nearest Neighbor Search [paper]
Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land. [
ICCV
], 2015
Alternating Co-Quantization for Cross-modal Hashing [paper]
Go Irie, Hiroyuki Arai and Yukinobu Taniguchi. [
ICCV
], 2015
Cross-Modal Similarity Learning via Pairs, Preferences, and Active
Supervision. [paper]
Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin. [
AAAI
], 2015
Deep Hashing
Supervised Hashing via Image Representation Learning [paper][code][slide]
Rongkai Xia , Yan Pan, Hanjiang Lai, Cong Liu, and Shuicheng Yan. [
AAAI
], 2014
Simultaneous Feature Learning and Hash Coding with Deep Neural
Networks [paper]
Hanjiang Lai, Yan Pan, Ye Liu, and Shuicheng Yan. [
CVPR
], 2015
Bit-Scalable Deep Hashing With Regularized Similarity Learning for
Image Retrieval and Person Re-Identification [paper][code]
Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, and Lei Zhang. [
TIP
], 2015
Convolutional Neural Networks for Text Hashing [paper]
Jiaming Xu, PengWang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao. [IJCAI], 2015
Deep Semantic Ranking Based Hashing for Multi-Label
Image Retrieval [paper][code]
Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan. [
CVPR
], 2015
Deep Hashing for Compact Binary Codes Learning [paper]
Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou. [
CVPR
], 2015
Deep Learning of Binary Hash Codes for Fast Image Retrieval [paper][code][questions]
Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, and Chu-Song Chen. [
CVPRW
], 2015
Feature Learning based Deep Supervised Hashing with Pairwise Labels
[paper][code]
Wu-Jun Li, Sheng Wang and Wang-Cheng Kang. [
IJCAI
], 2016
Online Hashing
Online Hashing [paper]
Long-kai Huang, Qiang Yang and Wei-Shi Zheng. [
IJCAI
], 2013
Online Sketching Hashing [paper]
Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai and Hangqing Lu. [
CVPR
], 2015
Adaptive Hashing for Fast Similarity Search [paper]
Fatih Cakir, Stan Sclaroff. [
ICCV
], 2015
Online Supervised Hashing [paper]
Fatih Cakir, Stan Sclaroff. [
ICIP
], 2015
Quantization
Double-Bit Quantization for Hashing [paper]
[code]
Weihao Kong, Wu-Jun Li. [
AAAI
], 2012
Manhattan hashing for large-scale image retrieval [paper]
[code]
Weihao Kong, Wu-Jun Li,Minyi Guo. [
SIGIR
], 2012
Variable Bit Quantisation for LSH [paper]
Sean Moran, Victor Lavrenko,Miles Osborne. [
ACL
], 2013
Hash Bit Selection: a Unified Solution for Selection Problems in
Hashing. [paper][supplementary][slide (in Chinese)][code][data]
Xianglong Liu, Junfeng He, Bo Lang and Shih-Fu Chang . [
CVPR
], 2013
Hamming Compatible Quantization for Hashing [paper]
Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang and Wen Gao [
IJCAI
], 2015
Distributed Hashing
Hashing for Distributed Data [paper]
Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang and Hanqing Lu. [
ICML
], 2015
Dataset
CIFAR [ link ]
IAPRTC-12 [ link ]
ImageNet [ link ]
LabelMe [ link ]
MIR-FLICKR [ link ]
MNIST [ link ]
