Learning Discrete Document Representations in Web Search

Author:

Huang Rong1ORCID,Zhang Danfeng2ORCID,Lu Weixue2ORCID,Li Han2ORCID,Wang Meng2ORCID,Shi Daiting2ORCID,Fan Jun2ORCID,Cheng Zhicong2ORCID,Gu Simiu2ORCID,Yin Dawei2ORCID

Affiliation:

1. Peking University, Beijing, China

2. Baidu Inc., Beijing, China

Publisher

ACM

Reference46 articles.

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2. Deep Visual-Semantic Quantization for Efficient Image Retrieval

3. Ting Chen , Lala Li , and Yizhou Sun . 2020 . Differentiable product quantization for end-to-end embedding compression . In International Conference on Machine Learning. PMLR, 1617--1626 . Ting Chen, Lala Li, and Yizhou Sun. 2020. Differentiable product quantization for end-to-end embedding compression. In International Conference on Machine Learning. PMLR, 1617--1626.

4. Nick Craswell , Bhaskar Mitra , Emine Yilmaz , and Daniel Campos . 2021 . Overview of the TREC 2020 deep learning track. arXiv:arXiv:2102 .07662 Nick Craswell, Bhaskar Mitra, Emine Yilmaz, and Daniel Campos. 2021. Overview of the TREC 2020 deep learning track. arXiv:arXiv:2102.07662

5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

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