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We improve zero-shot learning (ZSL) by incorporating common-sense knowledge in DNNs.
Probabilistic analysis of two heuristics for the 3-satisfiability problem
Ming-Te Chao and John Franco · 1986
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WordNet: An electronic lexical database
George A Miller · 1998
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Lower bounds for random 3-sat via differential equations
Dimitris Achlioptas · 2001
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Clustering unlabeled data with soms improves classification of labeled real-world data
Rozita Dara, Stefan C Kremer, and Deborah A Stacey · 2002
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Knowledge-based support vector machine classifiers
Glenn M Fung, Olvi L Mangasarian, and Jude W Shavlik · 2003
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Nonlinear knowledge in kernel approximation
Olvi L Mangasarian and Edward W Wild · 2007
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Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston · 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
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Multi-manifold semi-supervised learning
Andrew Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu, and Robert Nowak · 2009
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Semi-supervised learning by disagreement
Zhi-Hua Zhou and Ming Li · 2010
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The caltech-ucsd birds-200-2011 dataset
Catherine Wah, Steve Branson, Peter Welinder, Pietro Perona, and Serge Belongie · 2011
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Online incremental attribute-based zero-shot learning
Pichai Kankuekul, Aram Kawewong, Sirinart Tangruamsub, and Osamu Hasegawa · 2012
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Toward open set recognition
Walter J Scheirer, Anderson de Rezende Rocha, Archana Sapkota, and Terrance E Boult · 2012
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Learning hierarchical similarity metrics
Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, and Vinod Nair · 2012
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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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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 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
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Zero-shot recognition with unreliable attributes
Dinesh Jayaraman and Kristen Grauman · 2014
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Semi-supervised learning with deep generative models
Durk P Kingma, Shakir Mohamed, Danilo Jimenez Rezende, and Max Welling · 2014
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Distributed representations of sentences and documents
Quoc Le and Tomas Mikolov · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Label-embedding for image classification
Zeynep Akata, Florent Perronnin, Zaid Harchaoui, and Cordelia Schmid · 2015
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Evaluation of output embeddings for fine-grained image classification
Zeynep Akata, Scott Reed, Daniel Walter, Honglak Lee, and Bernt Schiele · 2015
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Unsupervised domain adaptation for zero-shot learning
Elyor Kodirov, Tao Xiang, Zhenyong Fu, and Shaogang Gong · 2015
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Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study
Isaac Triguero, Salvador García, and Francisco Herrera · 2015
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Multi-task transfer methods to improve one-shot learning for multimedia event detection
Wang Yan, Jordan Yap, and Greg Mori · 2015
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Recovering the missing link: Predicting class-attribute associations for unsupervised zero-shot learning
Ziad Al-Halah, Makarand Tapaswi, and Rainer Stiefelhagen · 2016
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An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, and Fei Sha · 2016
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Xgboost: A scalable tree boosting system
Tianqi Chen and Carlos Guestrin · 2016
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Harnessing deep neural networks with logic rules
Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard Hovy, and Eric Xing · 2016
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Deep neural networks with massive learned knowledge
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, and Eric Xing · 2016
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Learning to model the tail
Yu-Xiong Wang, Deva Ramanan, and Martial Hebert · 2017
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Zero-shot learning-the good, the bad and the ugly
Yongqin Xian, Bernt Schiele, and Zeynep Akata · 2017
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Learning a deep embedding model for zero-shot learning
Li Zhang, Tao Xiang, and Shaogang Gong · 2017
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Zero-shot object detection
Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, and Ajay Divakaran · 2018
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One-shot unsupervised cross domain translation
Sagie Benaim and Lior Wolf · 2018
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A short note about kinetics-600
Joao Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, and Andrew Zisserman · 2018
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Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hérve Jégou, and Tomas Mikolov · 2016
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Semi-supervised learning with generative adversarial networks
Augustus Odena · 2016
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Logic tensor networks: Deep learning and logical reasoning from data and knowledge
Luciano Serafini and Artur d’Avila Garcez · 2016
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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Daan Wierstra, et al · 2016
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Latent embeddings for zero-shot classification
Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, and Bernt Schiele · 2016
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Integrating prior knowledge into deep learning
Michelangelo Diligenti, Soumali Roychowdhury, and Marco Gori · 2017
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Slowfast networks for video recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He · 2018
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Few-shot charge prediction with discriminative legal attributes
Zikun Hu, Xiang Li, Cunchao Tu, Zhiyuan Liu, and Maosong Sun · 2018
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Hybrid knowledge routed modules for large-scale object detection
Chenhan Jiang, Hang Xu, Xiaodan Liang, and Liang Lin · 2018
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Symbolic graph reasoning meets convolutions
Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, and Eric P Xing · 2018
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Transductive unbiased embedding for zero-shot learning
Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, and Mingli Song · 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
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The inaturalist species classification and detection dataset
Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, and Serge Belongie · 2018
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Feature generating networks for zero-shot learning
Yongqin Xian, Tobias Lorenz, Bernt Schiele, and Zeynep Akata · 2018
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A semantic loss function for deep learning with symbolic knowledge
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, and Guy Broeck · 2018
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Fine-grained visual categorization using meta-learning optimization with sample selection of auxiliary data
Yabin Zhang, Hui Tang, and Kui Jia · 2018
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A generative adversarial approach for zero-shot learning from noisy texts
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, and Ahmed Elgammal · 2018
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Hierarchy-based image embeddings for semantic image retrieval
Björn Barz and Joachim Denzler · 2019
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Generative dual adversarial network for generalized zero-shot learning
He Huang, Changhu Wang, Philip S Yu, and Chang-Dong Wang · 2019
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Leveraging the invariant side of generative zero-shot learning
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, and Zi Huang · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Gradient matching generative networks for zero-shot learning
Mert Bulent Sariyildiz and Ramazan Gokberk Cinbis · 2019
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Unifying unsupervised domain adaptation and zero-shot visual recognition
Qian Wang, Penghui Bu, and Toby P Breckon · 2019
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Learning feature-to-feature translator by alternating back-propagation for generative zero-shot learning
Yizhe Zhu, Jianwen Xie, Bingchen Liu, and Ahmed Elgammal · 2019
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Deep adaptive semantic logic (dasl): Compiling declarative knowledge into deep neural networks
Karan Sikka, Andrew Silberfarb, John Byrnes, Indranil Sur, Ed Chow, Ajay Divakaran, and Richard Rohwer · 2020
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