Zero-Shot Learning by Convex Combination of Semantic Embeddings

Learning from one example through shared densities on transforms

E. G. Miller, N. E. Matsakis, and P. A. Viola · 2000

Earlier work this paper cites.

Cross-generalization: learning novel classes from a single example by feature replacement

E. Bart and S. Ullman · 2005

Earlier work this paper cites.

Neural probabilistic language models

Y. Bengio, H. Schwenk, J.-S. Senécal, F. Morin, and J.-L. Gauvain · 2006

Earlier work this paper cites.

One-shot learning of object categories

L. Fei-Fei, R. Fergus, and P. Perona · 2006

Earlier work this paper cites.

Zero-data learning of new tasks

H. Larochelle, D. Erhan, and Y. Bengio · 2008

Earlier work this paper cites.

Imagenet: A large-scale hierarchical image database

J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009

Earlier work this paper cites.

Describing objects by their attributes

A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth · 2009

Earlier work this paper cites.

Learning to detect unseen object classes by between-class attribute transfer

C. H. Lampert, H. Nickisch, and S. Harmeling · 2009

Cited alongside, same era.

Zero-shot learning with semantic output codes

M. Palatucci, D. Pomerleau, G. E. Hinton, and T. M. Mitchell · 2009

Cited alongside, same era.

One shot learning of simple visual concepts

B. M. Lake, R. Salakhutdinov, J. Gross, and J. B. Tenenbaum · 2011

Cited alongside, same era.

Relative attributes

D. Parikh and K. Grauman · 2011

Cited alongside, same era.

Evaluating knowledge transfer and zero-shot learning in a large-scale setting

M. Rohrbach, M. Stark, and B. Schiele · 2011

Cited alongside, same era.

Evaluating knowledge transfer and zero-shot learning in a large-scale setting

M. Rohrbach, M. Stark, and B. Schiele · 2011

Cited alongside, same era.

Wsabie: Scaling up to large vocabulary image annotation

Original

J. Weston, S. Bengio, and N. Usunier · 2011

Later among the works it cites.

Imagenet classification with deep convolutional neural networks

A. Krizhevsky, I. Sutskever, and G. Hinton · 2012

Later among the works it cites.

Metric learning for large scale image classification: Generalizing to new classes at near-zero cost

T. Mensink, J. Verbeek, F. Perronnin, and G. Csurka · 2012

Later among the works it cites.

Devise: A deep visual-semantic embedding model

A. Frome, G. S. Corrado, J. Shlens, S. Bengio, J. Dean, M. Ranzato, and T. Mikolov · 2013

Closest in time.

Efficient estimation of word representations in vector space

T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013

Closest in time.

Zero-shot learning through cross-modal transfer