Fetching the paper…
Reading the bibliography…
We consider representation learning (hypothesis class $\mathcal{H} = \mathcal{F}\circ\mathcal{G}$) where training and test distributions can be different.
Detecting change in data streams
D. Kifer, S. Ben-David, and J. Gehrke · 2004
Earlier work this paper cites.
Analysis of representations for domain adaptation
S. Ben-David, J. Blitzer, K. Crammer, and F. Pereira · 2006
Earlier work this paper cites.
Real and complex analysis
W. Rudin · 2006
Earlier work this paper cites.
Learning bounds for domain adaptation
J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. Wortman · 2008
Earlier work this paper cites.
Multiple source adaptation and the rényi divergence
Y. Mansour, M. Mohri, and A. Rostamizadeh · 2009
Earlier work this paper cites.
A theory of learning from different domains
S. Ben-David, J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. W. Vaughan · 2010
Earlier work this paper cites.
Domain adaptation via transfer component analysis
S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang · 2010
Earlier work this paper cites.
Representation learning: A review and new perspectives
Y. Bengio, A. Courville, and P. Vincent · 2013
Earlier work this paper cites.
Domain adaptation under target and conditional shift
K. Zhang, B. Schölkopf, K. Muandet, and Z. Wang · 2013
Earlier work this paper cites.
Domain-adversarial neural networks
H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, and M. Marchand · 2014
Earlier work this paper cites.
Transfer joint matching for unsupervised domain adaptation
M. Long, J. Wang, G. Ding, J. Sun, and P. S. Yu · 2014
Cited alongside, same era.
Learning transferable features with deep adaptation networks
M. Long, Y. Cao, J. Wang, and M. I. Jordan · 2015
Cited alongside, same era.
Causal inference using invariant prediction: identification and confidence intervals
J. Peters, P. Bühlmann, and N. Meinshausen · 2015
Cited alongside, same era.
Tight bound on relative entropy by entropy difference
D. Reeb and M. M. Wolf · 2015
Cited alongside, same era.
Inverting visual representations with convolutional networks
A. Dosovitskiy and T. Brox · 2016
Cited alongside, same era.
Domain-adversarial training of neural networks
Learning models with uniform performance via distributionally robust optimization
J. Duchi and H. Namkoong · 2018
Later among the works it cites.
Deep domain generalization via conditional invariant adversarial networks
Y. Li, X. Tian, M. Gong, Y. Liu, T. Liu, K. Zhang, and D. Tao · 2018
Later among the works it cites.
Multi-adversarial domain adaptation
Z. Pei, Z. Cao, M. Long, and J. Wang · 2018
Later among the works it cites.
Deep contextualized word representations
M. E. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, and L. Zettlemoyer · 2018
Later among the works it cites.
Wasserstein distance guided representation learning for domain adaptation
J. Shen, Y. Qu, W. Zhang, and Y. Yu · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. Lempitsky · 2016
Cited alongside, same era.
Domain adaptation with conditional transferable components
M. Gong, K. Zhang, T. Liu, D. Tao, C. Glymour, and B. Schölkopf · 2016
Cited alongside, same era.
Learning transferrable representations for unsupervised domain adaptation
O. Sener, H. O. Song, A. Saxena, and S. Savarese · 2016
Cited alongside, same era.
Joint distribution optimal transportation for domain adaptation
N. Courty, R. Flamary, A. Habrard, and A. Rakotomamonjy · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
Cited alongside, same era.
Adversarial multiple source domain adaptation
H. Zhao, S. Zhang, G. Wu, J. M. Moura, J. P. Costeira, and G. J. Gordon · 2018
Later among the works it cites.
M. Arjovsky, L. Bottou, I. Gulrajani, and D. Lopez-Paz · 2019
Later among the works it cites.
Regularized learning for domain adaptation under label shifts
K. Azizzadenesheli, A. Liu, F. Yang, and A. Anandkumar · 2019
Later among the works it cites.
Support and invertibility in domain-invariant representations
F. D. Johansson, D. A. Sontag, and R. Ranganath · 2019
Later among the works it cites.
On learning invariant representations for domain adaptation
H. Zhao, R. T. des Combes, K. Zhang, and G. J. Gordon · 2019
Later among the works it cites.