The Living Thing / Notebooks :

Learnable indexes and hashes

Dr. Wu-Jun LI’s excellent Lit review and practicalities supporting their own papers.

Refs

BKCD17
Beutel, A., Kraska, T., Chi, H., Dean, J., & Polyzotis, N. (2017) A Machine Learning Approach to Databases Indexes. In Advances In Neural Information Processing Systems.
CLWY17
Cao, Z., Long, M., Wang, J., & Yu, P. S.(2017) HashNet: Deep Learning to Hash by Continuation. ArXiv:1702.00758 [Cs].
KBCD17
Kraska, T., Beutel, A., Chi, E. H., Dean, J., & Polyzotis, N. (2017) The Case for Learned Index Structures. ArXiv:1712.01208 [Cs].
LPLY15
Lai, H., Pan, Y., Liu, Y., & Yan, S. (2015) Simultaneous feature learning and hash coding with deep neural networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 3270–3278). DOI.
LiWK15
Li, W.-J., Wang, S., & Kang, W.-C. (2015) Feature learning based deep supervised hashing with pairwise labels. ArXiv Preprint ArXiv:1511.03855.
LYHC15
Lin, K., Yang, H.-F., Hsiao, J.-H., & Chen, C.-S. (2015) Deep learning of binary hash codes for fast image retrieval. In Proceedings of the IEEE conference on computer vision and pattern recognition workshops (pp. 27–35). DOI.
LLWM15
Liong, E., Lu, J., Wang, G., Moulin, P., & Zhou, J. (2015) Deep Hashing for Compact Binary Codes Learning. In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2475–2483). DOI.
XPLL14
Xia, R., Pan, Y., Lai, H., Liu, C., & Yan, S. (2014) Supervised Hashing for Image Retrieval via Image Representation Learning. In AAAI (Vol. 1, pp. 2156–2162).
XWTX15
Xu, J., Wang, P., Tian, G., Xu, B., Zhao, J., Wang, F., & Hao, H. (2015) Convolutional Neural Networks for Text Hashing. In IJCAI (pp. 1369–1375).
YaLC18
Yang, H. F., Lin, K., & Chen, C. S.(2018) Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(2), 437–451. DOI.
ZLZZ15
Zhang, R., Lin, L., Zhang, R., Zuo, W., & Zhang, L. (2015) Bit-scalable deep hashing with regularized similarity learning for image retrieval and person re-identification. IEEE Transactions on Image Processing, 24(12), 4766–4779.