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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)

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Jianjin Dong

Zhang Zhang

Meng Zhang

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

Xianghui Zhang

Yue 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)Z-Order Recurrent Neural Networks for Video Prediction.J. Zhang, Y. Wang, M. Long, J. Wang, and P. Yu. ICME, page 230-235. IEEE, (2019)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)Towards Good Practices of U-Net for Traffic Forecasting.J. Xu, J. Zhang, Z. Yao, and Y. Wang. CoRR, (2020)Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.J. Zhang, Z. Liu, W. Han, S. Xiao, R. Zheng, Y. Shao, H. Sun, H. Zhu, P. Srinivasan, W. Deng and 2 other author(s). KDD, page 4493-4501. ACM, (2022)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)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)

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Disambiguation of "Zhang, Jianjin"

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Learning Fast Matching Models from Weak Annotations.

Please choose a person to relate this publication to

Jianjin Dong

Zhang Zhang

Meng Zhang

Xianghui Zhang

Yue 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 Learning Fast Matching Models from Weak Annotations.

Please choose a person to relate this publication to

Jianjin Dong

Zhang Zhang

Meng Zhang

Xianghui Zhang

Yue Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Learning Fast Matching Models from Weak Annotations.