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Zero shot learning -- the problem of training and testing on a completely disjoint set of classes -- relies greatly on its ability to transfer knowledge from train classes to test classes.
Common sense knowledge
Christian Andrich, Leo Novosel, and Bojan Hrnkas. 2009 · 2009
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009 · 2009
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Describing objects by their attributes
Ali Farhadi, Ian Endres, Derek Hoiem, and David Forsyth. 2009 · 2009
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Learning to detect unseen object classes by between-class attribute transfer
CH. Lampert, H. Nickisch, and S. Harmeling. 2009 · 2009
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Learning to share visual appearance for multiclass object detection
Ruslan Salakhutdinov, Antonio Torralba, and Josh Tenenbaum. 2011 · 2011
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Label-embedding for attribute-based classification
Zeynep Akata, Florent Perronnin, Zaid Harchaoui, and Cordelia Schmid. 2013 · 2013
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Devise: A deep visual-semantic embedding model
Andrea Frome, Greg S Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Marc’Aurelio Ranzato, and Tomas Mikolov. 2013 · 2013
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Zero-shot learning by convex combination of semantic embeddings
Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg S Corrado, and Jeffrey Dean. 2013 · 2013
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Large-scale object classification using label relation graphs
Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, and Hartwig Adam. 2014 · 2014
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Zero-shot recognition with unreliable attributes
Dinesh Jayaraman and Kristen Grauman. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman. 2014 · 2014
Cited alongside, same era.
Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2014 · 2014
Cited alongside, same era.
Unsupervised domain adaptation for zero-shot learning
Elyor Kodirov, Tao Xiang, Zhenyong Fu, and Shaogang Gong. 2015 · 2015
Cited alongside, same era.
Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl. 2017 · 2017
Cited alongside, same era.
A network framework for noisy label aggregation in social media
Xueying Zhan, Yaowei Wang, Yanghui Rao, Haoran Xie, Qing Li, Fu Lee Wang, and Tak-Lam Wong. 2017 · 2017
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Generalized zero-shot learning via synthesized examples
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, and Piyush Rai. 2018 · 2018
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Visually-driven semantic augmentation for zero-shot learning
Abhinaba Roy, Jacopo Cavazza, and Vittorio Murino. 2018 · 2018
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Modeling relational data with graph convolutional networks
Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2018 · 2018
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Learning to compare: Relation network for few-shot learning
Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip HS Torr, and Timothy M Hospedales. 2018 · 2018
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Zero-shot recognition via semantic embeddings and knowledge graphs
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Learning discriminative latent attributes for zero-shot classification
Huajie Jiang, Ruiping Wan g, Shiguang Shan, Yi Yang, and Xilin Chen. 2017 · 2017
Cited alongside, same era.
Semantic autoencoder for zero-shot learning
Elyor Kodirov, Tao Xiang, and Shaogang Gong. 2017 · 2017
Cited alongside, same era.
Visually aligned word embeddings for improving zero-shot learning
Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, and Anton van den Hengel. 2017 · 2017
Cited alongside, same era.
Conceptnet 5.5: An open multilingual graph of general knowledge
Robert Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
Cited alongside, same era.
Zero-shot learning-the good, the bad and the ugly
Yongqin Xian, Bernt Schiele, and Zeynep Akata. 2017 · 2017
Cited alongside, same era.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a
Cited in the paper.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013b
Cited in the paper.
Xiaolong Wang, Yufei Ye, and Abhinav Gupta. 2018 · 2018
Later among the works it cites.
Rethinking knowledge graph propagation for zero-shot learning
Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, and Eric P Xing. 2019 · 2019
Later among the works it cites.
A survey of zero-shot learning: Settings, methods, and applications
Wei Wang, Vincent W Zheng, Han Yu, and Chunyan Miao. 2019 · 2019
Later among the works it cites.
Learning a deep embedding model for zero-shot learning
Li Zhang, Tao Xiang, and Shaogang Gong. 2017 · 2030
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