Ensemble Distillation for BERT-Based Ranking Models-Reference-Cited by-同舟云学术

Ensemble Distillation for BERT-Based Ranking Models

Published:2021-07-11 Issue: Volume: Page:
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Container-title:Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval
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Author:

Zhuang Honglei¹,Qin Zhen¹,Han Shuguang²,Wang Xuanhui¹,Bendersky Michael¹,Najork Marc¹

Affiliation:

1. Google Research, Mountain View, CA, USA

2. Alibaba, Hangzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3471158.3472238

Reference29 articles.

1. Michael Bendersky Honglei Zhuang Ji Ma Shuguang Han Keith Hall and Ryan McDonald. 2020. RRF102: Meeting the TREC-COVID challenge with a 100+ runs ensemble. arXiv:2010.00200 Michael Bendersky Honglei Zhuang Ji Ma Shuguang Han Keith Hall and Ryan McDonald. 2020. RRF102: Meeting the TREC-COVID challenge with a 100+ runs ensemble. arXiv:2010.00200

2. An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance

3. Learning to rank

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