Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.

S. Xiao, Z. Liu, W. Han, J. Zhang, D. Lian, Y. Gong, Q. Chen, F. Yang, H. Sun, Y. Shao, and X. Xie. SIGIR, page 1513-1523. ACM, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jianjin Dong

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.M. Kopp, D. Kreil, M. Neun, D. Jonietz, H. Martin, P. Herruzo, A. Gruca, A. Soleymani, F. Wu, Y. Liu and 9 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 325-343. PMLR, (2020)Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.S. Xiao, Z. Liu, W. Han, J. Zhang, D. Lian, Y. Gong, Q. Chen, F. Yang, H. Sun, Y. Shao and 1 other author(s). SIGIR, page 1513-1523. ACM, (2022)PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning.Y. Wang, H. Wu, J. Zhang, Z. Gao, J. Wang, P. Yu, and M. Long. IEEE Trans. Pattern Anal. Mach. Intell., 45 (2): 2208-2225 (2023)Learning Fast Matching Models from Weak Annotations.X. Li, Z. Luo, H. Sun, J. Zhang, W. Han, X. Chu, L. Zhang, and Q. Zhang. WWW, page 2985-2991. ACM, (2019)Are GPT Embeddings Useful for Ads and Recommendation?W. Peng, D. Xu, T. Xu, J. Zhang, and E. Chen. KSEM (4), volume 14120 of Lecture Notes in Computer Science, page 151-162. Springer, (2023)Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.S. Xiao, Z. Liu, W. Han, J. Zhang, D. Lian, Y. Gong, Q. Chen, F. Yang, H. Sun, Y. Shao and 3 other author(s). CoRR, (2022)Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.S. Xiao, Z. Liu, W. Han, J. Zhang, Y. Shao, D. Lian, C. Li, H. Sun, D. Deng, L. Zhang and 2 other author(s). WWW, page 286-296. ACM, (2022)PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning.Y. Wang, H. Wu, J. Zhang, Z. Gao, J. Wang, P. Yu, and M. Long. CoRR, (2021)Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics.Y. Wang, J. Zhang, H. Zhu, M. Long, J. Wang, and P. Yu. CoRR, (2018)Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics.Y. Wang, J. Zhang, H. Zhu, M. Long, J. Wang, and P. Yu. CVPR, page 9154-9162. Computer Vision Foundation / IEEE, (2019)

BibSonomy

Disambiguation of "Zhang, Jianjin"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.

Please choose a person to relate this publication to

Jianjin Dong

Zhang Zhang

Meng Zhang

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Jianjin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.

Please choose a person to relate this publication to

Jianjin Dong

Zhang Zhang

Meng Zhang

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.