Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning

Angeliki Lazaridou, Georgiana Dinu, Marco Baroni


Anthology ID:
P15-1027
Volume:
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:
July
Year:
2015
Address:
Beijing, China
Editors:
Chengqing Zong, Michael Strube
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
270–280
Language:
URL:
https://aclanthology.org/P15-1027
DOI:
10.3115/v1/P15-1027
Bibkey:
Cite (ACL):
Angeliki Lazaridou, Georgiana Dinu, and Marco Baroni. 2015. Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 270–280, Beijing, China. Association for Computational Linguistics.
Cite (Informal):
Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning (Lazaridou et al., ACL-IJCNLP 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl24-info/P15-1027.pdf
Data
ImageNet