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Partial Adaptation (PDA) addresses a practical scenario in which the target domain contains only a subset of classes in the source domain.
Cycada: Cycle-consistent adversarial domain adaptation
Hoffman, J.; Tzeng, E.; Park, T.; Zhu, J.-Y.; Isola, P.; Saenko, K.; Efros, A.; and Darrell, T. 2018 · 1998
Earlier work this paper cites.
Domain Adaptation without Source Data
Kim, Y.; Hong, S.; Cho, D.; Park, H.; and Panda, P. 2020 · 2007
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Visualizing data using t-SNE
Maaten, L. v. d.; and Hinton, G. 2008 · 2008
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Adapting visual category models to new domains
Saenko, K.; Kulis, B.; Fritz, M.; and Darrell, T. 2010 · 2010
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Simonyan, K.; and Zisserman, A. 2014 · 2014
Earlier work this paper cites.
Deep domain confusion: Maximizing for domain invariance
Tzeng, E.; Hoffman, J.; Zhang, N.; Saenko, K.; and Darrell, T. 2014 · 2014
Earlier work this paper cites.
Unsupervised domain adaptation by backpropagation
Ganin, Y.; and Lempitsky, V. 2015 · 2015
Earlier work this paper cites.
Learning transferable features with deep adaptation networks
Long, M.; Cao, Y.; Wang, J.; and Jordan, M. I. 2015 · 2015
Earlier work this paper cites.
Imagenet large scale visual recognition challenge
Russakovsky, O.; Deng, J.; Su, H.; Krause, J.; Satheesh, S.; Ma, S.; Huang, Z.; Karpathy, A.; Khosla, A.; Bernstein, M.; et al. 2015 · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Kipf, T. N.; and Welling, M. 2016 · 2016
Cited alongside, same era.
Unsupervised domain adaptation with residual transfer networks
Long, M.; Zhu, H.; Wang, J.; and Jordan, M. I. 2016 · 2016
Cited alongside, same era.
Deep coral: Correlation alignment for deep domain adaptation
Sun, B.; and Saenko, K. 2016 · 2016
Cited alongside, same era.
Sspp-dan: Deep domain adaptation network for face recognition with single sample per person
Hong, S.; Im, W.; Ryu, J.; and Yang, H. S. 2017 · 2017
Cited alongside, same era.
Importance weighted adversarial nets for partial domain adaptation
Zhang, J.; Ding, Z.; Li, W.; and Ogunbona, P. 2018 · 2018
Later among the works it cites.
Learning to transfer examples for partial domain adaptation
Cao, Z.; You, K.; Long, M.; Wang, J.; and Yang, Q. 2019 · 2019
Later among the works it cites.
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Chang, W.-G.; You, T.; Seo, S.; Kwak, S.; and Han, B. 2019 · 2019
Later among the works it cites.
Unsupervised Face Domain Transfer for Low-Resolution Face Recognition
Hong, S.; and Ryu, J. 2019 · 2019
Later among the works it cites.
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation
Ma, X.; Zhang, T.; and Xu, C. 2019 · 2019
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Peng, X.; Usman, B.; Kaushik, N.; Hoffman, J.; Wang, D.; and Saenko, K. 2017 · 2017
Cited alongside, same era.
Adversarial discriminative domain adaptation
Tzeng, E.; Hoffman, J.; Saenko, K.; and Darrell, T. 2017 · 2017
Cited alongside, same era.
Deep hashing network for unsupervised domain adaptation
Venkateswara, H.; Eusebio, J.; Chakraborty, S.; and Panchanathan, S. 2017 · 2017
Cited alongside, same era.
Learning semantic representations for unsupervised domain adaptation
Xie, S.; Zheng, Z.; Chen, L.; and Chen, C. 2018 · 2018
Cited alongside, same era.
Partial transfer learning with selective adversarial networks
Cao, Z.; Long, M.; Wang, J.; and Jordan, M. I. 2018a
Cited in the paper.
Partial adversarial domain adaptation
Cao, Z.; Ma, L.; Long, M.; and Wang, J. 2018b
Cited in the paper.
Choi, S.; Lee, S.; Kim, Y.; Kim, T.; and Kim, C. 2020 · 2020
Closest in time.
Attention-guided adaptation factors for unsupervised facial domain adaptation
Hong, S.; and Ryu, J. 2020 · 2020
Closest in time.
Deep Residual Correction Network for Partial Domain Adaptation
Li, S.; Liu, C. H.; Lin, Q.; Wen, Q.; Su, L.; Huang, G.; and Ding, Z. 2020 · 2020
Closest in time.