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In principle, zero-shot learning makes it possible to train a recognition model simply by specifying the category's attributes.
Cognition and categorization
E. Rosch and B. Lloyd · 1978
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Induction of decision trees
J. Quinlan · 1986
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Extrapolating human probability judgment
D. Osherson, E. Smith, T. Myers, E. Shafir, and M. Stob · 1994
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Conceptual Spaces: The Geometry of Thought
P. Gärdenfors · 2000
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Random forests
L. Breiman · 2001
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A complete fuzzy decision tree technique
C. Olaru and L. Wehenkel · 2003
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Zero-data learning of new tasks
H. Larochelle, D. Erhan, and Y. Bengio · 2008
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Describing objects by their attributes
A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth · 2009
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Learning to Detect Unseen Object Classes by Between-class Attribute Transfer
C. Lampert, H. Nickisch, and S. Harmeling · 2009
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Zero-shot Learning with Semantic Output Codes
M. Palatucci, D. Pomerleau, G. Hinton, and T. Mitchell · 2009
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What helps where – and why? semantic relatedness for knowledge transfer
M. Rohrbach, M. Stark, G. Szarvas, I. Gurevych, and B. Schiele · 2010
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Attribute-based transfer learning for object categorization with zero/one training example
X. Yu and Y. Aloimonos · 2010
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A joint learning framework for attribute models and object descriptions
D. Mahajan, S. Sellamanicka, and V. Nair · 2011
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Relative attributes
D. Parikh and K. Grauman · 2011
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Evaluating knowledge transfer and zero-shot learning in a large-scale setting
M. Rohrbach, M. Stark, and B. Schiele · 2011
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Decision Trees for Uncertain Data
S. Tsang, B. Kao, K. Yip, W.-S. Ho, and S. Lee · 2011
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Attribute discovery via predictable discriminative binary codes
M. Rastegari, A. Farhadi, and D. Forsyth · 2012
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Augmented attribute representations
V. Sharmanska, N. Quadrianto, and C. Lampert · 2012
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Label-Embedding for Attribute-Based Classification
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid · 2013
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Devise: A deep visual-semantic embedding model
A. Frome, G. Corrado, J. Shlens, S. Bengio, J. Dean, M. Ranzato, and T. Mikolov · 2013
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Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines
R. Mittelman, H. Lee, B. Kuipers, and S. Savarese · 2013
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Attribute dominance: what pops out?
N. Turakhia and D. Parikh · 2013
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Online incremental attribute-based zero-shot learning
P. Kankuekul, A. Kawewong, S. Tangruamsub, and O. Hasegawa · 2012
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Metric learning for large scale image classification: Generalizing to new classes at near-zero cost
T. Mensink and J. Verbeek · 2012
Cited alongside, same era.
SUN Attribute Database: Discovering, Annotating, and Recognizing Scene Attributes
G. Patterson and J. Hays · 2012
Cited alongside, same era.
Designing Category-Level Attributes for Discriminative Visual Recognition
F. Yu, L. Cao, R. Feris, J. Smith, and S.-F. Chang · 2013
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Attribute-based classification for zero-shot visual object categorization
C. Lampert, H. Nickisch, and S. Harmeling · 2014
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COSTA: Co-occurrence statistics for zero-shot classification
T. Mensink, E. Gavves, and C. Snoek · 2014
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