Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard. Improving Few-Shot Learning Through Multi-task Representation Learning Theory. In Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner, editors, Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XX. Volume 13680 of Lecture Notes in Computer Science, pages 435-452, Springer, 2022. [doi]
@inproceedings{BouniotRALH22,
title = {Improving Few-Shot Learning Through Multi-task Representation Learning Theory},
author = {Quentin Bouniot and Ievgen Redko and Romaric Audigier and Angélique Loesch and Amaury Habrard},
year = {2022},
doi = {10.1007/978-3-031-20044-1_25},
url = {https://doi.org/10.1007/978-3-031-20044-1_25},
researchr = {https://researchr.org/publication/BouniotRALH22},
cites = {0},
citedby = {0},
pages = {435-452},
booktitle = {Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XX},
editor = {Shai Avidan and Gabriel J. Brostow and Moustapha Cissé and Giovanni Maria Farinella and Tal Hassner},
volume = {13680},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-20044-1},
}