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Efficiently Teaching an Effective Dense Retriever with Ba... | ResearchHub
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Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
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Authors
Sebastian Hofstätter
4 more
Sebastian Hofstätter
•
Sheng-Chieh Lin
2 more
•
Allan Hanbury
Published
July 11, 2021
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Journal
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Topics
Computer Science
Machine Learning
Artificial Intelligence
Information Retrieval
Computer Vision And Pattern Recognition
Show all topics
DOI
10.1145/3404835.3462891
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Topics
Computer Science
Machine Learning
Artificial Intelligence
Information Retrieval
Computer Vision And Pattern Recognition
Show all topics
DOI
10.1145/3404835.3462891
Other Formats
PDF
