Fetching the paper…
Reading the bibliography…
Domain generalization refers to the problem where we aim to train a model on data from a set of source domains so that the model can generalize to unseen target domains.
Big self-supervised models are strong semi-supervised learners
T. Chen, S. Kornblith, K. Swersky, M. Norouzi, and G. Hinton · 2006
Earlier work this paper cites.
Real and complex analysis
W. Rudin · 2006
Earlier work this paper cites.
Measure theory , volume 1
V. I. Bogachev · 2007
Earlier work this paper cites.
MNIST handwritten digit database
Y. LeCun and C. Cortes · 2010
Earlier work this paper cites.
Undoing the damage of dataset bias
A. Khosla, T. Zhou, T. Malisiewicz, A. A. Efros, and A. Torralba · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Domain generalization via invariant feature representation
K. Muandet, D. Balduzzi, and B. Schölkopf · 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.
Generative adversarial networks
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
Earlier work this paper cites.
Domain generalization for object recognition with multi-task autoencoders
M. Ghifary, W. B. Kleijn, M. Zhang, and D. Balduzzi · 2015
Earlier work this paper cites.
Domain-adversarial training of neural networks
Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. Lempitsky · 2016
Earlier work this paper cites.
Nips 2016 tutorial: Generative adversarial networks
I. Goodfellow · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Coupled generative adversarial networks
M.-Y. Liu and O. Tuzel · 2016
Earlier work this paper cites.
Deep coral: Correlation alignment for deep domain adaptation
B. Sun and K. Saenko · 2016
Earlier work this paper cites.
Unsupervised pixel-level domain adaptation with generative adversarial networks
K. Bousmalis, N. Silberman, D. Dohan, D. Erhan, and D. Krishnan · 2017
Cited alongside, same era.
Deep domain generalization with structured low-rank constraint
Z. Ding and Y. Fu · 2017
Cited alongside, same era.
On convergence and stability of gans
N. Kodali, J. Abernethy, J. Hays, and Z. Kira · 2017
Cited alongside, same era.
Deeper, broader and artier domain generalization
D. Li, Y. Yang, Y.-Z. Song, and T. Hospedales · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
Cited alongside, same era.
Metareg: Towards domain generalization using meta-regularization
Learning to optimize domain specific normalization for domain generalization
S. Seo, Y. Suh, D. Kim, J. Han, and B. Han · 2019
Later among the works it cites.
Learning robust representations by projecting superficial statistics out
H. Wang, Z. He, Z. C. Lipton, and E. P. Xing · 2019
Later among the works it cites.
Bridging theory and algorithm for domain adaptation
Y. Zhang, T. Liu, M. Long, and M. Jordan · 2019
Later among the works it cites.
On learning invariant representations for domain adaptation
H. Zhao, R. T. Des Combes, K. Zhang, and G. Gordon · 2019
Later among the works it cites.
Learning to balance specificity and invariance for in and out of domain generalization
P. Chattopadhyay, Y. Balaji, and J. Hoffman · 2020
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. Balaji, S. Sankaranarayanan, and R. Chellappa · 2018
Cited alongside, same era.
Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Y. Choi, M. Choi, M. Kim, J.-W. Ha, S. Kim, and J. Choo · 2018
Cited alongside, same era.
Cycada: Cycle-consistent adversarial domain adaptation
J. Hoffman, E. Tzeng, T. Park, J.-Y. Zhu, P. Isola, K. Saenko, A. Efros, and T. Darrell · 2018
Cited alongside, same era.
From source to target and back: symmetric bi-directional adaptive gan
P. Russo, F. M. Carlucci, T. Tommasi, and B. Caputo · 2018
Cited alongside, same era.
Generalizing across domains via cross-gradient training
S. Shankar, V. Piratla, S. Chakrabarti, S. Chaudhuri, P. Jyothi, and S. Sarawagi · 2018
Cited alongside, same era.
Wasserstein distance guided representation learning for domain adaptation
J. Shen, Y. Qu, W. Zhang, and Y. Yu · 2018
Cited alongside, same era.
Adversarial invariant feature learning with accuracy constraint for domain generalization
K. Akuzawa, Y. Iwasawa, and Y. Matsuo · 2019
Cited alongside, same era.
Stargan v2: Diverse image synthesis for multiple domains
Y. Choi, Y. Uh, J. Yoo, and J.-W. Ha · 2020
Later among the works it cites.
Domain adaptation with conditional distribution matching and generalized label shift
R. T. d. Combes, H. Zhao, Y.-X. Wang, and G. Gordon · 2020
Later among the works it cites.
Learning to learn with variational information bottleneck for domain generalization
Y. Du, J. Xu, H. Xiong, Q. Qiu, X. Zhen, C. G. Snoek, and L. Shao · 2020
Later among the works it cites.
Alignflow: Cycle consistent learning from multiple domains via normalizing flows
A. Grover, C. Chute, R. Shu, Z. Cao, and S. Ermon · 2020
Later among the works it cites.
Diva: Domain invariant variational autoencoders
M. Ilse, J. M. Tomczak, C. Louizos, and M. Welling · 2020
Later among the works it cites.
Self-supervised learning of pretext-invariant representations
I. Misra and L. v. d. Maaten · 2020
Later among the works it cites.
Efficient domain generalization via common-specific low-rank decomposition
V. Piratla, P. Netrapalli, and S. Sarawagi · 2020
Later among the works it cites.
Domain-invariant representation learning for sim-to-real transfer
A. K. Tanwani · 2020
Later among the works it cites.
Respecting domain relations: Hypothesis invariance for domain generalization
Z. Wang, M. Loog, and J. van Gemert · 2020
Later among the works it cites.
Domain generalization via entropy regularization
S. Zhao, M. Gong, T. Liu, H. Fu, and D. Tao · 2020
Later among the works it cites.