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Due to the importance of zero-shot learning, the number of proposed approaches has increased steadily recently.
Optimizing search engines using clickthrough data
T. Joachims · 2002
Earlier work this paper cites.
Large margin methods for structured and interdependent output variables
I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun · 2005
Earlier work this paper cites.
An extension on“statistical comparisons of classifiers over multiple data sets”for all pairwise comparisons
S. Garcia and F. Herrera · 2008
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The Elements of Statistical Learning (2nd Ed.)
T. Hastie, R. Tibshirani, and J. Friedman · 2008
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.
Zero-shot learning with semantic output codes
M. Palatucci, D. Pomerleau, G. E. Hinton, and T. M. Mitchell · 2009
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Ranking with ordered weighted pairwise classification
N. Usunier, D. Buffoni, and P. Gallinari · 2009
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What helps here – and why? Semantic relatedness for knowledge transfer
M. Rohrbach, M. Stark, G. Szarvas, I. Gurevych, and B. Schiele · 2010
Earlier work this paper cites.
Caltech-UCSD Birds 200
P. Welinder, S. Branson, T. Mita, C. Wah, F. Schroff, S. Belongie, and P. Perona · 2010
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Large scale image annotation: Learning to rank with joint word-image embeddings
J. Weston, S. Bengio, and N. Usunier · 2010
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Attribute-based transfer learning for object categorization with zero or one training example
X. Yu and Y. Aloimonos · 2010
Earlier work this paper cites.
Evaluating knowledge transfer and zero-shot learning in a large-scale setting
M. Rohrbach, M. Stark, and B.Schiele · 2011
Earlier work this paper cites.
Sun attribute database: Discovering, annotating, and recognizing scene attributes
G. Patterson and J. Hays · 2012
Earlier work this paper cites.
Label embedding for attribute-based classification
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid · 2013
Cited alongside, same era.
Devise: A deep visual-semantic embedding model
A. Frome, G. S. Corrado, J. Shlens, S. Bengio, J. Dean, M. A. Ranzato, and T. Mikolov · 2013
Cited alongside, same era.
Attribute-based classification for zero-shot visual object categorization
C. Lampert, H. Nickisch, and S. Harmeling · 2013
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
Cited alongside, same era.
Towards open set recognition
W. J. Scheirer, A. Rocha, A. Sapkota, and T. E. Boult · 2013
Cited alongside, same era.
Zero-shot learning through cross-modal transfer
R. Socher, M. Ganjoo, C. D. Manning, and A. Ng · 2013
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Zero-shot learning via semantic similarity embedding
Z. Zhang and V. Saligrama · 2015
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Multi-cue zero-shot learning with strong supervision
Z. Akata, M. Malinowski, M. Fritz, and B. Schiele · 2016
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Label-embedding for image classification
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid · 2016
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Towards open set deep networks
A. Bendale and T. E. Boult · 2016
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Improving semantic embedding consistency by metric learning for zero-shot classiffication
M. Bucher, S. Herbin, and F. Jurie · 2016
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Multi-class open set recognition using probability of inclusion
L. Jain, W. Scheirer, and T. Boult · 2014
Cited alongside, same era.
Costa: Co-occurrence statistics for zero-shot classification
T. Mensink, E. Gavves, and C. G. Snoek · 2014
Cited alongside, same era.
Zero-shot learning by convex combination of semantic embeddings
M. Norouzi, T. Mikolov, S. Bengio, Y. Singer, J. Shlens, A. Frome, G. Corrado, and J. Dean · 2014
Cited alongside, same era.
Learning deep features for scene recognition using places database
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva · 2014
Cited alongside, same era.
Evaluation of output embeddings for fine-grained image classification
Z. Akata, S. Reed, D. Walter, H. Lee, and B. Schiele · 2015
Cited alongside, same era.
Zero-shot object recognition by semantic manifold distance
Z. Fu, T. Xiang, E. Kodirov, and S. Gong · 2015
Cited alongside, same era.
Synthesized classifiers for zero-shot learning
S. Changpinyo, W.-L. Chao, B. Gong, and F. Sha · 2016
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An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
W.-L. Chao, S. Changpinyo, B. Gong, and F. Sha · 2016
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Semi-supervised vocabulary-informed learning
Y. Fu and L. Sigal · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Less is more: Zero-shot learning from online textual documents with noise suppression
R. Qiao, L. Liu, C. Shen, and A. van den Hengel · 2016
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Latent embeddings for zero-shot classification
Y. Xian, Z. Akata, G. Sharma, Q. Nguyen, M. Hein, and B. Schiele · 2016
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Online collaborative learning for open-vocabulary visual classifiers
H. Zhang, X. Shang, W. Yang, H. Xu, H. Luan, and T.-S. Chua · 2016
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Zero-shot learning via joint semantic similarity embedding
Z. Zhang and V. Saligrama · 2016
Later among the works it cites.