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Zero-shot learning (ZSL) which aims at predicting classes that have never appeared during the training using external knowledge (a.k.a.
WordNet: a lexical database for english
G A Miller · 1995
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DBpedia: A nucleus for a web of open data
Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives · 2007
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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
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Describing objects by their attributes
Ali Farhadi, Ian Endres, Derek Hoiem, and David Forsyth · 2009
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Learning to detect unseen object classes by between-class attribute transfer
Christoph H Lampert, Hannes Nickisch, and Stefan Harmeling · 2009
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Zero-shot learning with semantic output codes
Mark Palatucci, Dean Pomerleau, Geoffrey E Hinton, and Tom M Mitchell · 2009
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Toward an architecture for never-ending language learning
A Carlson, J Betteridge, B Kisiel, B Settles, E Hruschka Jr, and T Mitchell · 2010
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Relative attributes
Devi Parikh and Kristen Grauman · 2011
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Write a classifier: Zero-shot learning using purely textual descriptions
Mohamed Elhoseiny, Babak Saleh, and Ahmed Elgammal · 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
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Attribute-based classification for zero-shot visual object categorization
Christoph H Lampert, Hannes Nickisch, and Stefan Harmeling · 2013
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Zero-shot learning through cross-modal transfer
Richard Socher, Milind Ganjoo, Christopher D Manning, and Andrew Ng · 2013
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Generative adversarial nets
Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C Courville, and Yoshua Bengio · 2014
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Zero-shot learning by convex combination of semantic embeddings
M Norouzi, T Mikolov, S Bengio, Y Singer, J Shlens, A Frome, G S Corrado, and J Dean · 2014
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Predicting deep zero-shot convolutional neural networks using textual descriptions
Jimmy Lei Ba, Kevin Swersky, Sanja Fidler, et al · 2015
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Injecting logical background knowledge into embeddings for relation extraction
T Rocktäschel, S Singh, and S Riedel · 2015
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Ridge regression, hubness, and zero-shot learning
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, and Yuji Matsumoto · 2015
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A unified perspective on multi-domain and multi-task learning
Yongxin Yang and Timothy M. Hospedales · 2015
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Exploiting Linked Data and Knowledge Graphs for Large Organisations
J.Z. Pan, G. Vetere, J.M. Gomez-Perez, and H. Wu · 2016
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Less is more: zero-shot learning from online textual documents with noise suppression
Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, and Anton Van Den Hengel · 2016
Cited alongside, same era.
Learning deep representations of fine-grained visual descriptions
Scott Reed, Zeynep Akata, Honglak Lee, and Bernt Schiele · 2016
Cited alongside, same era.
Zero-shot visual question answering
Damien Teney and Anton van den Hengel · 2016
Cited alongside, same era.
Representation learning of knowledge graphs with entity descriptions
Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, and Maosong Sun · 2016
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
Cited alongside, same era.
Semantic autoencoder for zero-shot learning
Elyor Kodirov, Tao Xiang, and Shaogang Gong · 2017
Cited alongside, same era.
Rethinking knowledge graph propagation for zero-shot learning
Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, and Eric P Xing · 2019
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El embeddings: geometric construction of models for the description logic EL++
Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, and Robert Hoehndorf · 2019
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Zero-shot entity linking by reading entity descriptions
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, and Honglak Lee · 2019
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A survey of zero-shot learning: Settings, methods, and applications
Wei Wang, Vincent W Zheng, Han Yu, and Chunyan Miao · 2019
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f-vaegan-d2: A feature generating framework for any-shot learning
Yongqin Xian, Saurabh Sharma, Bernt Schiele, and Zeynep Akata · 2019
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Benchmarking zero-shot text classification: Datasets, evaluation and entailment approach
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Zero-shot relation extraction via reading comprehension
Omer Levy, Minjoon Seo, Eunsol Choi, and Luke Zettlemoyer · 2017
Cited alongside, same era.
An empirical evaluation of visual question answering for novel objects
Santhosh K Ramakrishnan, Ambar Pal, Gaurav Sharma, and Anurag Mittal · 2017
Cited alongside, same era.
Conceptnet 5.5: an open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi · 2017
Cited alongside, same era.
Learning a deep embedding model for zero-shot learning
Li Zhang, Tao Xiang, and Shaogang Gong · 2017
Cited alongside, same era.
Knowledge-based transfer learning explanation
Jiaoyan Chen, Freddy Lécué, Jeff Z Pan, Ian Horrocks, and Huajun Chen · 2018
Cited alongside, same era.
Multi-modal cycle-consistent generalized zero-shot learning
Rafael Felix, Vijay BG Kumar, Ian Reid, and Gustavo Carneiro · 2018
Cited alongside, same era.
Wenpeng Yin, Jamaal Hay, and Dan Roth · 2019
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Integrating semantic knowledge to tackle zero-shot text classification
J Zhang, P Lertvittayakumjorn, and Y Guo · 2019
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Self-supervised knowledge triplet learning for zero-shot question answering
Pratyay Banerjee and Chitta Baral · 2020
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OWL2Vec*: Embedding of OWL ontologies
Jiaoyan Chen, Pan Hu, Ernesto Jimenez-Ruiz, Ole Magnus Holter, Denvar Antonyrajah, and Ian Horrocks · 2020
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Ontology-guided semantic composition for zero-shot learning
Jiaoyan Chen, Freddy Lécué, Yuxia Geng, Jeff Z Pan, and Huajun Chen · 2020
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Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs
Yuxia Geng, Jiaoyan Chen, Zhiquan Ye, Wei Zhang, and Huajun Chen · 2020
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A survey on knowledge graph embeddings with literals: Which model links better literal-ly?
Genet Asefa Gesese, Russa Biswas, Mehwish Alam, and Harald Sack · 2020
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Inductive link prediction for nodes having only attribute information
Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, and Sibo Wang · 2020
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Logic-guided semantic representation learning for zero-shot relation classification
Juan Li, Ruoxu Wang, Ningyu Zhang, Wen Zhang, Fan Yang, and Huajun Chen · 2020
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Zeroshotceres: Zero-shot relation extraction from semi-structured webpages
Colin Lockard, Prashant Shiralkar, Xin Luna Dong, and Hannaneh Hajishirzi · 2020
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Stacked adversarial network for zero-shot sketch based image retrieval
Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, and Hema Murthy · 2020
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Generative adversarial zero-shot relational learning for knowledge graphs
Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, and William Yang Wang · 2020
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Improving zero shot learning baselines with commonsense knowledge
A Roy, D Ghosal, E Cambria, N Majumder, R Mihalcea, and S Poria · 2020
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Generalizing from a few examples: A survey on few-shot learning
Yaqing Wang, Quanming Yao, James T Kwok, and Lionel M Ni · 2020
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OntoZSL: Ontology-enhanced zero-shot learning
Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, Zhiquan Ye, Zonggang Yuan, Yantao Jia, and Huajun Chen · 2021
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