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Considering the increasing concerns about data copyright and privacy issues, we present a novel Absolute Zero-Shot Learning (AZSL) paradigm, i.e., training a classifier with zero real data.
Gune, O.; Pal, M.; Mukherjee, P.; Banerjee, B.; and Chaudhuri, S. 2020 · 2005
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Zero-data learning of new tasks
Larochelle, H.; Erhan, D.; and Bengio, Y. 2008 · 2008
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Describing objects by their attributes
Farhadi, A.; Endres, I.; Hoiem, D.; and Forsyth, D. 2009 · 2009
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Learning to detect unseen object classes by between-class attribute transfer
Lampert, C. H.; Nickisch, H.; and Harmeling, S. 2009 · 2009
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A kernel two-sample test
Gretton, A.; Borgwardt, K. M.; Rasch, M. J.; Schölkopf, B.; and Smola, A. 2012 · 2012
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Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup
Xu, G.; Liu, Z.; and Loy, C. C. 2020 · 2012
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Label-embedding for attribute-based classification
Akata, Z.; Perronnin, F.; Harchaoui, Z.; and Schmid, C. 2013 · 2013
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Devise: A deep visual-semantic embedding model
Frome, A.; Corrado, G. S.; Shlens, J.; Bengio, S.; Dean, J.; Mikolov, T.; et al. 2013 · 2013
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Attribute-based classification for zero-shot visual object categorization
Lampert, C. H.; Nickisch, H.; and Harmeling, S. 2013 · 2013
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Zero-shot recognition with unreliable attributes
Jayaraman, D.; and Grauman, K. 2014 · 2014
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Zero-shot learning by convex combination of semantic embeddings
Norouzi, M.; Mikolov, T.; Bengio, S.; Singer, Y.; Shlens, J.; Frome, A.; Corrado, G. S.; and Dean, J. 2014 · 2014
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Evaluation of output embeddings for fine-grained image classification
Akata, Z.; Reed, S.; Walter, D.; Lee, H.; and Schiele, B. 2015 · 2015
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Transductive multi-view zero-shot learning
Fu, Y.; Hospedales, T. M.; Xiang, T.; and Gong, S. 2015 · 2015
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Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2015 · 2015
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Unsupervised domain adaptation for zero-shot learning
Kodirov, E.; Xiang, T.; Fu, Z.; and Gong, S. 2015 · 2015
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An embarrassingly simple approach to zero-shot learning
Romera-Paredes, B.; and Torr, P. 2015 · 2015
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UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age
Sudlow, C.; Gallacher, J.; Allen, N.; Beral, V.; Burton, P.; Danesh, J.; Downey, P.; Elliott, P.; Green, J.; Landray, M.; et al. 2015 · 2015
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Empirical Evaluation of Rectified Activations in Convolutional Network
Xu, B.; Wang, N.; Chen, T.; and Li, M. 2015 · 2015
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Machine teaching: An inverse problem to machine learning and an approach toward optimal education
Zhu, X. 2015 · 2015
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Synthesized classifiers for zero-shot learning
Changpinyo, S.; Chao, W.-L.; Gong, B.; and Sha, F. 2016 · 2016
Cited alongside, same era.
An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
Chao, W.-L.; Changpinyo, S.; Gong, B.; and Sha, F. 2016 · 2016
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Deep residual learning for image recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
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Federated learning: Strategies for improving communication efficiency
Kone v · 2016
Cited alongside, same era.
Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition
Qin, J.; Wang, Y.; Liu, L.; Chen, J.; and Shao, L. 2016 · 2016
Cited alongside, same era.
Zero-shot recognition via structured prediction
Generalized zero-shot learning via synthesized examples
Verma, V. K.; Arora, G.; and Mishra. 2018 · 2018
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Feature generating networks for zero-shot learning
Xian, Y.; Lorenz, T.; Schiele, B.; and Akata, Z. 2018 · 2018
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Triple verification network for generalized zero-shot learning
Zhang, H.; Long, Y.; Guan, Y.; and Shao, L. 2018 · 2018
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Gradient matching generative networks for zero-shot learning
Sariyildiz, M. B.; and Cinbis, R. G. 2019 · 2019
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Progressive ensemble networks for zero-shot recognition
Ye, M.; and Guo, Y. 2019 · 2019
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Deep Leakage from Gradients
Zhu, L.; Liu, Z.; and Han, S. 2019 · 2019
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Zhang, Z.; and Saligrama, V. 2016 · 2016
Cited alongside, same era.
Semantic Autoencoder for Zero-Shot Learning
Kodirov, E.; Xiang, T.; and Gong, S. 2017 · 2017
Cited alongside, same era.
Iterative machine teaching
Liu, W.; Dai, B.; Humayun, A.; Tay, C.; Yu, C.; Smith, L. B.; Rehg, J. M.; and Song, L. 2017 · 2017
Cited alongside, same era.
From zero-shot learning to conventional supervised classification: Unseen visual data synthesis
Long, Y.; Liu, L.; Shao, L.; Shen, F.; Ding, G.; and Han, J. 2017 · 2017
Cited alongside, same era.
Describing unseen classes by exemplars: Zero-shot learning using grouped simile ensemble
Long, Y.; and Shao, L. 2017 · 2017
Cited alongside, same era.
Communication-efficient learning of deep networks from decentralized data
McMahan, B.; Moore, E.; Ramage, D.; Hampson, S.; and y Arcas, B. A. 2017 · 2017
Cited alongside, same era.
The eu general data protection regulation (gdpr)
Voigt, P.; and Von dem Bussche, A. 2017 · 2017
Cited alongside, same era.
Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning
Gao, R.; Hou, X.; Qin, J.; Chen, J.; Liu, L.; Zhu, F.; Zhang, Z.; and Shao, L. 2020 · 2020
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A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning
Ma, P.; and Hu, X. 2020 · 2020
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Domain-aware visual bias eliminating for generalized zero-shot learning
Min, S.; Yao, H.; Xie, H.; Wang, C.; Zha, Z.-J.; and Zhang, Y. 2020 · 2020
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Generative model with semantic embedding and integrated classifier for generalized zero-shot learning
Pambala, A.; Dutta, T.; and Biswas, S. 2020 · 2020
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Leveraging seen and unseen semantic relationships for generative zero-shot learning
Vyas, M. R.; Venkateswara, H.; and Panchanathan, S. 2020 · 2020
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Dreaming to distill: Data-free knowledge transfer via deepinversion
Yin, H.; Molchanov, P.; Alvarez, J. M.; Li, Z.; Mallya, A.; Hoiem, D.; Jha, N. K.; and Kautz, J. 2020 · 2020
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Wasserstein contrastive representation distillation
Chen, L.; Wang, D.; Gan, Z.; Liu, J.; Henao, R.; and Carin, L. 2021 · 2021
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Contrastive Embedding for Generalized Zero-Shot Learning
Han, Z.; Fu, Z.; Chen, S.; and Yang, J. 2021 · 2021
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Towards Fair Federated Learning with Zero-Shot Data Augmentation
Hao, W.; El-Khamy, M.; Lee, J.; Zhang, J.; Liang, K. J.; Chen, C.; and Duke, L. C. 2021 · 2021
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Generalized Zero-Shot Learning via Disentangled Representation
Li, X.; Xu, Z.; Wei, K.; and Deng, C. 2021 · 2021
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Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
Smith, J.; Hsu, Y.-C.; Balloch, J.; Shen, Y.; Jin, H.; and Kira, Z. 2021 · 2021
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See through Gradients: Image Batch Recovery via GradInversion
Yin, H.; Mallya, A.; Vahdat, A.; Alvarez, J. M.; Kautz, J.; and Molchanov, P. 2021 · 2021
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