WSABIE swMATH ID: 30600 Software Authors: Weston, J., Bengio, S., Usunier, N. Description: WSABIE: scaling up to large vocabulary image annotation. Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method that scales to such datasets by simultaneously learning to optimize precision at the top of the ranked list of annotations for a given image and learning a low-dimensional joint embedding space for both images and annotations. Our method, called WSABIE, both outperforms several baseline methods and is faster and consumes less memory. Homepage: https://dl.acm.org/citation.cfm?id=2283856 Related Software: word2vec; NUS-WIDE; ImageNet; Im2Text; GloVe; GitHub; DiSMEC; AnnexML; FastXML; PROPACK; TagProp; AnchorNet; Soft scissors; MVSNet; NIMA; EfficientNet; Fashion-MNIST; CamNet; Face2Face; DISN Cited in: 8 Documents all top 5 Cited by 23 Authors 1 Amiri, S. Hamid 1 Babbar, Rohit 1 Bashar, Md Abul 1 Caramanis, Constantine 1 Dellaportas, Petros 1 Ghosh, Joydeep 1 Jamzad, Mansour 1 Joshi, Shalmali 1 Khandagale, Sujay 1 Koyejo, Oluwasanmi 1 Kyrillidis, Anastasios 1 Li, Yuefeng 1 Li, Zhihui 1 Liu, Huan 1 Luo, Minnan 1 Panos, Aristeidis 1 Park, Dohyung 1 Sanghavi, Sujay 1 Szeliski, Richard 1 Titsias, Michalis K. 1 Xiao, Han 1 Yan, Caixia 1 Zheng, Qinghua all top 5 Cited in 6 Serials 3 Machine Learning 1 Information Sciences 1 Pattern Recognition 1 Data Mining and Knowledge Discovery 1 SIAM Journal on Imaging Sciences 1 Texts in Computer Science Cited in 5 Fields 6 Computer science (68-XX) 2 Statistics (62-XX) 1 Numerical analysis (65-XX) 1 Operations research, mathematical programming (90-XX) 1 Information and communication theory, circuits (94-XX) Citations by Year