Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling.

@inproceedings{hofstatter-2021-efficiently, author = {Sebastian Hofst\"{a}tter and Sheng-Chieh Lin and Jheng-Hong Yang and Jimmy Lin and Allan Hanbury}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {113--122}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462891}, doi = {https://doi.org/10.1145/3404835.3462891} }