Original Contribution: Stacked generalization
Neural Networks
Kernel principal component analysis
Advances in kernel methods
Recognizing Surfaces Using Three-Dimensional Textons
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
PLSA-based image auto-annotation: constraining the latent space
Proceedings of the 12th annual ACM international conference on Multimedia
Online Passive-Aggressive Algorithms
The Journal of Machine Learning Research
The Pyramid Match Kernel: Efficient Learning with Sets of Features
The Journal of Machine Learning Research
A support vector method for optimizing average precision
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A Discriminative Kernel-Based Approach to Rank Images from Text Queries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Listwise approach to learning to rank: theory and algorithm
Proceedings of the 25th international conference on Machine learning
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Baseline for Image Annotation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Ranking with ordered weighted pairwise classification
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Semi-supervised learning with very few labeled training examples
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Online learning in the embedded manifold of low-rank matrices
The Journal of Machine Learning Research
Efficient image annotation for automatic sentence generation
Proceedings of the 20th ACM international conference on Multimedia
Joint image and word sense discrimination for image retrieval
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Metric learning for large scale image classification: generalizing to new classes at near-zero cost
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Picture tags and world knowledge: learning tag relations from visual semantic sources
Proceedings of the 21st ACM international conference on Multimedia
Nonlinear latent factorization by embedding multiple user interests
Proceedings of the 7th ACM conference on Recommender systems
Learning to rank recommendations with the k-order statistic loss
Proceedings of the 7th ACM conference on Recommender systems
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Improving pairwise learning for item recommendation from implicit feedback
Proceedings of the 7th ACM international conference on Web search and data mining
Proceedings of the 23rd international conference on World wide web
CoBaFi: collaborative bayesian filtering
Proceedings of the 23rd international conference on World wide web
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics
International Journal of Computer Vision
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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.