Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index-Reference-Cited by-同舟云学术

Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Zhang Han¹,Shen Hongwei²,Qiu Yiming¹,Jiang Yunjiang²,Wang Songlin¹,Xu Sulong¹,Xiao Yun²,Long Bo¹,Yang Wen-Yun²

Affiliation:

1. JD.com, Beijing, China

2. JD.com Silicon Valley Research Center, Mountain View, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462988

Reference28 articles.

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2. Yoshua Bengio Nicholas Léonard and Aaron Courville. 2013. Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation. In arXiv. 1308.3432. Yoshua Bengio Nicholas Léonard and Aaron Courville. 2013. Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation. In arXiv. 1308.3432.

3. Ting Chen Lala Li and Yizhou Sun. 2020. Differentiable product quantization for end-to-end embedding compression. In ICML. 1617--1626. Ting Chen Lala Li and Yizhou Sun. 2020. Differentiable product quantization for end-to-end embedding compression. In ICML. 1617--1626.

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