Learning Early Exit Strategies for Additive Ranking Ensembles.

Francesco Busolin|Claudio Lucchese|Franco Maria Nardini|Salvatore Orlando|Raffaele Perego|Salvatore Trani


Anthology ID:DBLP:conf/sigir/BusolinLN00T21
Volume:SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Year:2021
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2217-2221
URL:https://doi.org/10.1145/3404835.3463088
DOI:https://doi.org/10.1145/3404835.3463088
DBLP:conf/sigir/BusolinLN00T21
BibTeX:
@inproceedings{busolin-2021-learning, author = {Francesco Busolin and Claudio Lucchese and Franco Maria Nardini and Salvatore Orlando and Raffaele Perego and Salvatore Trani}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{Learning Early Exit Strategies for Additive Ranking Ensembles}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {2217--2221}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3463088}, doi = {https://doi.org/10.1145/3404835.3463088} }