Zero-shot learning on the ImageNet of over 20000 classes
2015-06-05 10:44
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Devise: A deep visual-semantic embedding model (NIPS2013)
Zero-Shot Learning by Convex Combination of Semantic Embeddings (http://arxiv.org/pdf/1312.5650.pdf)
Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg S. Corrado, Jeffrey Dean
Unsupervised learning of Neural Network outputs
Yao Lu
1) A visual representation of classes (Inspire by Hinton's Dark knowledge)
2) a semantic representation of classes from the WordNet graph,
3) a bridge between the visual and semantic representations.
Zero-Shot Learning by Convex Combination of Semantic Embeddings (http://arxiv.org/pdf/1312.5650.pdf)
Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg S. Corrado, Jeffrey Dean
Unsupervised learning of Neural Network outputs
Yao Lu
1) A visual representation of classes (Inspire by Hinton's Dark knowledge)
2) a semantic representation of classes from the WordNet graph,
3) a bridge between the visual and semantic representations.
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