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We present a new discriminative technique for the multiple-source adaptation, MSA, problem.
Adaptive mixtures of local experts
Robert A Jacobs, Michael I Jordan, Steven J Nowlan, and Geoffrey E Hinton · 1991
Earlier work this paper cites.
Evaluation of adaptive mixtures of competing experts
Steven J Nowlan and Geoffrey E Hinton · 1991
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Convex analysis approach to DC programming: theory, algorithms and applications
Pham Dinh Tao and Le Thi Hoai An · 1997
Earlier work this paper cites.
UCI repository of machine learning databases
Catherine Blake · 1998
Earlier work this paper cites.
A DC optimization algorithm for solving the trust-region subproblem
Pham Dinh Tao and Le Thi Hoai An · 1998
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Information Measures: Information and its Description in Science and Engineering
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Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
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Domain adaptation with multiple sources
Yishay Mansour, Mehryar Mohri, and Afshin Rostamizadeh · 2008
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Multiple source adaptation and the rényi divergence
Yishay Mansour, Mehryar Mohri, and Afshin Rostamizadeh · 2009
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A survey on transfer learning
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A proof of convergence of the concave-convex procedure using Zangwill’s theory
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Simultaneous deep transfer across domains and tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell, and Kate Saenko · 2015
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Multi-source domain adaptation: A causal view
Kun Zhang, Mingming Gong, and Bernhard Schölkopf · 2015
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Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky · 2016
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Algorithms and theory for multiple-source adaptation
Judy Hoffman, Mehryar Mohri, and Ningshan Zhang · 2018
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Deep cocktail network: Multi-source unsupervised domain adaptation with category shift
Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, and Liang Lin · 2018
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Adversarial multiple source domain adaptation
Han Zhao, Shanghang Zhang, Guanhang Wu, José MF Moura, Joao P Costeira, and Geoffrey J Gordon · 2018
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Multiple source domain adaptation: A sharper bound using weighted Rademacher complexity
Jianwei Liu, Jiajia Zhou, and Xionglin Luo · 2015
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Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
Boqing Gong, Kristen Grauman, and Fei Sha
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Reshaping visual datasets for domain adaptation
Boqing Gong, Kristen Grauman, and Fei Sha
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Few-shot adversarial domain adaptation
Saeid Motiian, Quinn Jones, Seyed Iranmanesh, and Gianfranco Doretto
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Robust learning from untrusted sources
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Agnostic federated learning
Mehryar Mohri, Gary Sivek, and Ananda Theertha Suresh · 2019
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Semi-supervised domain adaptation via minimax entropy
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, and Kate Saenko · 2019
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